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Institution: ICVV
Research Groups: Structural Bioinformatics, Modeling and Biological Mechanisms
Position: Investigador Científico
Home page: https://www.icvv.es/english/3dbiowine
Contact email: juan.fernandezrecio@icvv.es
BCB Committee: Talent attraction and training
BCB Community: No communities assigned.
BCB Services:
Research topics: Computational Methods, Applications of Computational Biology, Drug Discovery and design, Population dynamics, Computational models and simulations, Biomolecular simulation, Structural bioinformatics, Molecular flexibility, Molecular Interactions/Docking, Mutation Analysis and design, Protein/Nucleic Acid design, Structure prediction, Structure-function relationship, Data Analysis, Artificial Intelligence, Machine Learning in Biology, Statistical Methods for Biology, Bayesian statistics, Multivariate statistics, Proteomics, Proteing-Protein Interactions, Structural genomics, Bioinformatics Software and Tools, Analysis packages (R, Python, etc.)
Biography: Juan Fernández-Recio (PhD Chemistry 1999) has an extensive scientific career in the field of structural bioinformatics. He had international postdoctoral training in structural and computational biology groups of scientific excellence, with Prof. Ruben Abagyan, The Scripps Research Institute (TSRI), La Jolla, US (1999-2023), and Prof. Sir Tom Blundell, University of Cambridge, UK (2003-2004). In 2004 he started an independent research group on protein interactions and docking at IRB-Barcelona as a Ramon y Cajal researcher, and in 2007 he obtained a Research Group Leader position at the Barcelona Supercomputing Center (BSC) to further develop high-performance computing tools for the study of protein interactions. In May 2017 he joined IBMB (Barcelona) as a CSIC Tenured Scientist (Científico Titular), and in August 2019 he moved to ICVV (Logroño) to start a research line on structural bioinformatics, modeling and biological mechanisms. In December 2025 he was promoted to CSIC Scientific Researcher (Investigador Científico).
Publications
Venezian, J., Bar-Yosef, H., Ben-Arie Zilberman, H., Cohen, N., Kleifeld, O., Fernandez-Recio, J., Glaser, F., & Shiber, A. (2024). Diverging co-translational protein complex assembly pathways are governed by interface energy distribution. Nature Communications, 15(1). https://doi.org/10.1038/s41467-024-46881-w
Erausquin, E., Rodríguez-Fernández, A., Rodríguez-Lumbreras, L. Á., Fernández-Recio, J., Dichiara-Rodríguez, M. G., & López-Sagaseta, J. (2024). Structural vulnerability in EPCR suggests functional modulation. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-53160-7
Lopez-Robles, C., Scaramuzza, S., Astorga-Simon, E. N., Ishida, M., Williamson, C. D., Baños-Mateos, S., Gil-Carton, D., Romero-Durana, M., Vidaurrazaga, A., Fernandez-Recio, J., Rojas, A. L., Bonifacino, J. S., Castaño-Díez, D., & Hierro, A. (2023). Architecture of the ESCPE-1 membrane coat. Nature Structural & Molecular Biology, 30(7), 958–969. https://doi.org/10.1038/s41594-023-01014-7
Schweke, H., Xu, Q., Tauriello, G., Pantolini, L., Schwede, T., Cazals, F., Lhéritier, A., Fernandez‐Recio, J., Rodríguez‐Lumbreras, L. A., Schueler‐Furman, O., Varga, J. K., Jiménez‐García, B., Réau, M. F., Bonvin, A. M. J. J., Savojardo, C., Martelli, P., Casadio, R., Tubiana, J., Wolfson, H. J., … Wodak, S. J. (2023). Discriminating physiological from non‐physiological interfaces in structures of protein complexes: A community‐wide study. PROTEOMICS, 23(17). Portico. https://doi.org/10.1002/pmic.202200323
Lensink, M. F., Brysbaert, G., Raouraoua, N., Bates, P. A., Giulini, M., Honorato, R. V., van Noort, C., Teixeira, J. M. C., Bonvin, A. M. J. J., Kong, R., Shi, H., Lu, X., Chang, S., Liu, J., Guo, Z., Chen, X., Morehead, A., Roy, R. S., Wu, T., … Wodak, S. J. (2023). Impact of AlphaFold on structure prediction of protein complexes: The CASP15‐CAPRI experiment. Proteins: Structure, Function, and Bioinformatics, 91(12), 1658–1683. Portico. https://doi.org/10.1002/prot.26609
Alegre-Martí, A., Jiménez-Panizo, A., Martínez-Tébar, A., Poulard, C., Peralta-Moreno, M. N., Abella, M., Antón, R., Chiñas, M., Eckhard, U., Piulats, J. M., Rojas, A. M., Fernández-Recio, J., Rubio-Martínez, J., Le Romancer, M., Aytes, Á., Fuentes-Prior, P., & Estébanez-Perpiñá, E. (2023). A hotspot for posttranslational modifications on the androgen receptor dimer interface drives pathology and anti-androgen resistance. Science Advances, 9(11). https://doi.org/10.1126/sciadv.ade2175
Erausquin, E., Glaser, F., Fernández-Recio, J., & López-Sagaseta, J. (2022). Structural bases for the higher adherence to ACE2 conferred by the SARS-CoV-2 spike Q498Y substitution. Acta Crystallographica Section D Structural Biology, 78(9), 1156–1170. https://doi.org/10.1107/s2059798322007677
Galano-Frutos, J. J., García-Cebollada, H., López, A., Rosell, M., de la Cruz, X., Fernández-Recio, J., & Sancho, J. (2022). PirePred. The Journal of Molecular Diagnostics, 24(4), 406–425. https://doi.org/10.1016/j.jmoldx.2022.01.005
Landras, A., Reger de Moura, C., Villoutreix, B. O., Battistella, M., Sadoux, A., Dumaz, N., Menashi, S., Fernández-Recio, J., Lebbé, C., & Mourah, S. (2022). Novel treatment strategy for NRAS-mutated melanoma through a selective inhibitor of CD147/VEGFR-2 interaction. Oncogene, 41(15), 2254–2264. https://doi.org/10.1038/s41388-022-02244-7
Rodríguez-Lumbreras, L. A., Jiménez-García, B., Giménez-Santamarina, S., & Fernández-Recio, J. (2022). pyDockDNA: A new web server for energy-based protein-DNA docking and scoring. Frontiers in Molecular Biosciences, 9. https://doi.org/10.3389/fmolb.2022.988996
Jiménez-Panizo, A., Alegre-Martí, A., Tettey, T. T., Fettweis, G., Abella, M., Antón, R., Johnson, T. A., Kim, S., Schiltz, R. L., Núñez-Barrios, I., Font-Díaz, J., Caelles, C., Valledor, A. F., Pérez, P., Rojas, A. M., Fernández-Recio, J., Presman, D. M., Hager, G. L., Fuentes-Prior, P., & Estébanez-Perpiñá, E. (2022). The multivalency of the glucocorticoid receptor ligand-binding domain explains its manifold physiological activities. Nucleic Acids Research, 50(22), 13063–13082. https://doi.org/10.1093/nar/gkac1119
Castell, C., Rodríguez-Lumbreras, L. A., Hervás, M., Fernández-Recio, J., & Navarro, J. A. (2021). New Insights into the Evolution of the Electron Transfer from Cytochrome f to Photosystem I in the Green and Red Branches of Photosynthetic Eukaryotes. Plant and Cell Physiology, 62(7), 1082–1093. https://doi.org/10.1093/pcp/pcab044
Lensink, M. F., Brysbaert, G., Mauri, T., Nadzirin, N., Velankar, S., Chaleil, R. A. G., Clarence, T., Bates, P. A., Kong, R., Liu, B., Yang, G., Liu, M., Shi, H., Lu, X., Chang, S., Roy, R. S., Quadir, F., Liu, J., Cheng, J., … Wodak, S. J. (2021). Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment. Proteins: Structure, Function, and Bioinformatics, 89(12), 1800–1823. Portico. https://doi.org/10.1002/prot.26222
Jiménez-García, B., Bernadó, P., & Fernández-Recio, J. (2020). Structural Characterization of Protein–Protein Interactions with pyDockSAXS. Structural Bioinformatics, 131–144. https://doi.org/10.1007/978-1-0716-0270-6_10
Fernández-Recio, J. (2020). Modelling the Evolution of COVID-19 in High-Incidence European Countries and Regions: Estimated Number of Infections and Impact of Past and Future Intervention Measures. Journal of Clinical Medicine, 9(6), 1825. https://doi.org/10.3390/jcm9061825
Rosell, M., & Fernández-Recio, J. (2020). Docking-based identification of small-molecule binding sites at protein-protein interfaces. Computational and Structural Biotechnology Journal, 18, 3750–3761. https://doi.org/10.1016/j.csbj.2020.11.029
Rosell, M., & Fernández-Recio, J. (2020). Docking approaches for modeling multi-molecular assemblies. Current Opinion in Structural Biology, 64, 59–65. https://doi.org/10.1016/j.sbi.2020.05.016
Amengual-Rigo, P., Fernández-Recio, J., & Guallar, V. (2020). UEP: an open-source and fast classifier for predicting the impact of mutations in protein–protein complexes. Bioinformatics, 37(3), 334–341. https://doi.org/10.1093/bioinformatics/btaa708
Elorza-Vidal, X., Xicoy-Espaulella, E., Pla-Casillanis, A., Alonso-Gardón, M., Gaitán-Peñas, H., Engel-Pizcueta, C., Fernández-Recio, J., & Estévez, R. (2020). Structural basis for the dominant or recessive character of GLIALCAM mutations found in leukodystrophies. Human Molecular Genetics, 29(7), 1107–1120. https://doi.org/10.1093/hmg/ddaa009
Rosell, M., Rodríguez-Lumbreras, L. A., & Fernández-Recio, J. (2020). Modeling of Protein Complexes and Molecular Assemblies with pyDock. Protein Structure Prediction, 175–198. https://doi.org/10.1007/978-1-0716-0708-4_10
Navío, D., Rosell, M., Aguirre, J., de la Cruz, X., & Fernández-Recio, J. (2019). Structural and Computational Characterization of Disease-Related Mutations Involved in Protein-Protein Interfaces. International Journal of Molecular Sciences, 20(7), 1583. https://doi.org/10.3390/ijms20071583
Errasti-Murugarren, E., Fort, J., Bartoccioni, P., Díaz, L., Pardon, E., Carpena, X., Espino-Guarch, M., Zorzano, A., Ziegler, C., Steyaert, J., Fernández-Recio, J., Fita, I., & Palacín, M. (2019). L amino acid transporter structure and molecular bases for the asymmetry of substrate interaction. Nature Communications, 10(1). https://doi.org/10.1038/s41467-019-09837-z
Romero-Durana, M., Jiménez-García, B., & Fernández-Recio, J. (2019). pyDockEneRes: per-residue decomposition of protein–protein docking energy. Bioinformatics, 36(7), 2284–2285. https://doi.org/10.1093/bioinformatics/btz884
Lensink, M. F., Brysbaert, G., Nadzirin, N., Velankar, S., Chaleil, R. A. G., Gerguri, T., Bates, P. A., Laine, E., Carbone, A., Grudinin, S., Kong, R., Liu, R., Xu, X., Shi, H., Chang, S., Eisenstein, M., Karczynska, A., Czaplewski, C., Lubecka, E., … Wodak, S. J. (2019). Blind prediction of homo‐ and hetero‐protein complexes: The CASP13‐CAPRI experiment. Proteins: Structure, Function, and Bioinformatics, 87(12), 1200–1221. Portico. https://doi.org/10.1002/prot.25838
Rosell, M., Rodríguez‐Lumbreras, L. A., Romero‐Durana, M., Jiménez‐García, B., Díaz, L., & Fernández‐Recio, J. (2019). Integrative modeling of protein‐protein interactions with pyDock for the new docking challenges. Proteins: Structure, Function, and Bioinformatics, 88(8), 999–1008. Portico. https://doi.org/10.1002/prot.25858
Barradas-Bautista, D., Rosell, M., Pallara, C., & Fernández-Recio, J. (2018). Structural Prediction of Protein–Protein Interactions by Docking: Application to Biomedical Problems. Protein-Protein Interactions in Human Disease, Part A, 203–249. https://doi.org/10.1016/bs.apcsb.2017.06.003
Ordan, M., Pallara, C., Maik-Rachline, G., Hanoch, T., Gervasio, F. L., Glaser, F., Fernandez-Recio, J., & Seger, R. (2018). Intrinsically active MEK variants are differentially regulated by proteinases and phosphatases. Scientific Reports, 8(1). https://doi.org/10.1038/s41598-018-30202-5
Rosell, M., & Fernández-Recio, J. (2018). Hot-spot analysis for drug discovery targeting protein-protein interactions. Expert Opinion on Drug Discovery, 13(4), 327–338. https://doi.org/10.1080/17460441.2018.1430763
Jankauskaitė, J., Jiménez-García, B., Dapkūnas, J., Fernández-Recio, J., & Moal, I. H. (2018). SKEMPI 2.0: an updated benchmark of changes in protein–protein binding energy, kinetics and thermodynamics upon mutation. Bioinformatics, 35(3), 462–469. https://doi.org/10.1093/bioinformatics/bty635
Garcia-Pardo, J., Tanco, S., Díaz, L., Dasgupta, S., Fernandez-Recio, J., Lorenzo, J., Aviles, F. X., & Fricker, L. D. (2017). Substrate specificity of human metallocarboxypeptidase D: Comparison of the two active carboxypeptidase domains. PLOS ONE, 12(11), e0187778. https://doi.org/10.1371/journal.pone.0187778
Pérez-Cano, L., Romero-Durana, M., & Fernández-Recio, J. (2017). Structural and energy determinants in protein-RNA docking. Methods, 118–119, 163–170. https://doi.org/10.1016/j.ymeth.2016.11.001
Moal, I. H., Barradas-Bautista, D., Jiménez-García, B., Torchala, M., van der Velde, A., Vreven, T., Weng, Z., Bates, P. A., & Fernández-Recio, J. (2017). IRaPPA: information retrieval based integration of biophysical models for protein assembly selection. Bioinformatics, 33(12), 1806–1813. https://doi.org/10.1093/bioinformatics/btx068
Barradas-Bautista, D., & Fernández-Recio, J. (2017). Docking-based modeling of protein-protein interfaces for extensive structural and functional characterization of missense mutations. PLOS ONE, 12(8), e0183643. https://doi.org/10.1371/journal.pone.0183643
Barradas‐Bautista, D., Moal, I. H., & Fernández‐Recio, J. (2017). A systematic analysis of scoring functions in rigid‐body protein docking: The delicate balance between the predictive rate improvement and the risk of overtraining. Proteins: Structure, Function, and Bioinformatics, 85(7), 1287–1297. Portico. https://doi.org/10.1002/prot.25289
Jiménez-García, B., Roel-Touris, J., Romero-Durana, M., Vidal, M., Jiménez-González, D., & Fernández-Recio, J. (2017). LightDock: a new multi-scale approach to protein–protein docking. Bioinformatics, 34(1), 49–55. https://doi.org/10.1093/bioinformatics/btx555
Fernández-Recio, J. (2016). Unraveling the molecular details of the innate immune response. EBioMedicine, 9, 7–8. https://doi.org/10.1016/j.ebiom.2016.06.025
Lensink, M. F., Velankar, S., Kryshtafovych, A., Huang, S., Schneidman‐Duhovny, D., Sali, A., Segura, J., Fernandez‐Fuentes, N., Viswanath, S., Elber, R., Grudinin, S., Popov, P., Neveu, E., Lee, H., Baek, M., Park, S., Heo, L., Rie Lee, G., Seok, C., … Wodak, S. J. (2016). Prediction of homoprotein and heteroprotein complexes by protein docking and template‐based modeling: A CASP‐CAPRI experiment. Proteins: Structure, Function, and Bioinformatics, 84(S1), 323–348. Portico. https://doi.org/10.1002/prot.25007
Agostino, M., Mancera, R. L., Ramsland, P. A., & Fernández‐Recio, J. (2016). Optimization of protein–protein docking for predicting Fc–protein interactions. Journal of Molecular Recognition, 29(11), 555–568. Portico. https://doi.org/10.1002/jmr.2555
Pallara, C., Rueda, M., Abagyan, R., & Fernández-Recio, J. (2016). Conformational Heterogeneity of Unbound Proteins Enhances Recognition in Protein–Protein Encounters. Journal of Chemical Theory and Computation, 12(7), 3236–3249. https://doi.org/10.1021/acs.jctc.6b00204
Pallara, C., Jiménez‐García, B., Romero, M., Moal, I. H., & Fernández‐Recio, J. (2016). pyDock scoring for the new modeling challenges in docking: Protein–peptide, homo‐multimers, and domain–domain interactions. Proteins: Structure, Function, and Bioinformatics, 85(3), 487–496. Portico. https://doi.org/10.1002/prot.25184
Romero-Durana, M., Pallara, C., Glaser, F., & Fernández-Recio, J. (2016). Modeling Binding Affinity of Pathological Mutations for Computational Protein Design. Computational Protein Design, 139–159. https://doi.org/10.1007/978-1-4939-6637-0_6
Vreven, T., Moal, I. H., Vangone, A., Pierce, B. G., Kastritis, P. L., Torchala, M., Chaleil, R., Jiménez-García, B., Bates, P. A., Fernandez-Recio, J., Bonvin, A. M. J. J., & Weng, Z. (2015). Updates to the Integrated Protein–Protein Interaction Benchmarks: Docking Benchmark Version 5 and Affinity Benchmark Version 2. Journal of Molecular Biology, 427(19), 3031–3041. https://doi.org/10.1016/j.jmb.2015.07.016
Jiménez-García, B., Pons, C., Svergun, D. I., Bernadó, P., & Fernández-Recio, J. (2015). pyDockSAXS: protein–protein complex structure by SAXS and computational docking. Nucleic Acids Research, 43(W1), W356–W361. https://doi.org/10.1093/nar/gkv368
Bernal-Bayard, P., Pallara, C., Carmen Castell, M., Molina-Heredia, F. P., Fernández-Recio, J., Hervás, M., & Navarro, J. A. (2015). Interaction of photosystem I from Phaeodactylum tricornutum with plastocyanins as compared with its native cytochrome c6: Reunion with a lost donor. Biochimica et Biophysica Acta (BBA) - Bioenergetics, 1847(12), 1549–1559. https://doi.org/10.1016/j.bbabio.2015.09.006
Moal, I. H., Dapkūnas, J., & Fernández‐Recio, J. (2015). Inferring the microscopic surface energy of protein–protein interfaces from mutation data. Proteins: Structure, Function, and Bioinformatics, 83(4), 640–650. Portico. https://doi.org/10.1002/prot.24761
Somajo, S., Ahnström, J., Fernandez-Recio, J., Gierula, M., Villoutreix, B. O., & Dahlbäck, B. (2015). Amino acid residues in the laminin G domains of protein S involved in tissue factor pathway inhibitor interaction. Thrombosis and Haemostasis, 113(05), 976–987. https://doi.org/10.1160/th14-09-0803
Lang, V., Pallara, C., Zabala, A., Lobato-Gil, S., Lopitz-Otsoa, F., Farrás, R., Hjerpe, R., Torres-Ramos, M., Zabaleta, L., Blattner, C., Hay, R. T., Barrio, R., Carracedo, A., Fernandez-Recio, J., Rodríguez, M. S., & Aillet, F. (2014). Tetramerization‐defects of p53 result in aberrant ubiquitylation and transcriptional activity. Molecular Oncology, 8(5), 1026–1042. Portico. https://doi.org/10.1016/j.molonc.2014.04.002
Lucas, M., Gaspar, A. H., Pallara, C., Rojas, A. L., Fernández-Recio, J., Machner, M. P., & Hierro, A. (2014). Structural basis for the recruitment and activation of the Legionella phospholipase VipD by the host GTPase Rab5. Proceedings of the National Academy of Sciences, 111(34). https://doi.org/10.1073/pnas.1405391111
Rosell, A., Meury, M., Álvarez-Marimon, E., Costa, M., Pérez-Cano, L., Zorzano, A., Fernández-Recio, J., Palacín, M., & Fotiadis, D. (2014). Structural bases for the interaction and stabilization of the human amino acid transporter LAT2 with its ancillary protein 4F2hc. Proceedings of the National Academy of Sciences, 111(8), 2966–2971. https://doi.org/10.1073/pnas.1323779111
Moal, I. H., & Fernández-Recio, J. (2014). Comment on ‘protein–protein binding affinity prediction from amino acid sequence.’ Bioinformatics, 31(4), 614–615. https://doi.org/10.1093/bioinformatics/btu682
Moal, I. H., Jiménez-García, B., & Fernández-Recio, J. (2014). CCharPPI web server: computational characterization of protein–protein interactions from structure. Bioinformatics, 31(1), 123–125. https://doi.org/10.1093/bioinformatics/btu594
Jiménez-García, B., Pons, C., & Fernández-Recio, J. (2013). pyDockWEB: a web server for rigid-body protein–protein docking using electrostatics and desolvation scoring. Bioinformatics, 29(13), 1698–1699. https://doi.org/10.1093/bioinformatics/btt262
Pons, C., Fenwick, R. B., Esteban-Martín, S., Salvatella, X., & Fernandez-Recio, J. (2013). Validated Conformational Ensembles Are Key for the Successful Prediction of Protein Complexes. Journal of Chemical Theory and Computation, 9(3), 1830–1837. https://doi.org/10.1021/ct300990h
Moal, I. H., Torchala, M., Bates, P. A., & Fernández-Recio, J. (2013). The scoring of poses in protein-protein docking: current capabilities and future directions. BMC Bioinformatics, 14(1). https://doi.org/10.1186/1471-2105-14-286
Torchala, M., Moal, I. H., Chaleil, R. A. G., Fernandez-Recio, J., & Bates, P. A. (2013). SwarmDock: a server for flexible protein–protein docking. Bioinformatics, 29(6), 807–809. https://doi.org/10.1093/bioinformatics/btt038
Chen, Y., Tascón, I., Neunuebel, M. R., Pallara, C., Brady, J., Kinch, L. N., Fernández-Recio, J., Rojas, A. L., Machner, M. P., & Hierro, A. (2013). Structural Basis for Rab1 De-AMPylation by the Legionella pneumophila Effector SidD. PLoS Pathogens, 9(5), e1003382. https://doi.org/10.1371/journal.ppat.1003382
Moal, I. H., Moretti, R., Baker, D., & Fernández-Recio, J. (2013). Scoring functions for protein–protein interactions. Current Opinion in Structural Biology, 23(6), 862–867. https://doi.org/10.1016/j.sbi.2013.06.017
Moal, I. H., & Fernandez-Recio, J. (2013). Intermolecular Contact Potentials for Protein–Protein Interactions Extracted from Binding Free Energy Changes upon Mutation. Journal of Chemical Theory and Computation, 9(8), 3715–3727. https://doi.org/10.1021/ct400295z
Pallara, C., Jiménez‐García, B., Pérez‐Cano, L., Romero‐Durana, M., Solernou, A., Grosdidier, S., Pons, C., Moal, I. H., & Fernandez‐Recio, J. (2013). Expanding the frontiers of protein–protein modeling: From docking and scoring to binding affinity predictions and other challenges. Proteins: Structure, Function, and Bioinformatics, 81(12), 2192–2200. Portico. https://doi.org/10.1002/prot.24387
Pérez-Cano, L., Eliahoo, E., Lasker, K., Wolfson, H. J., Glaser, F., Manor, H., Bernadó, P., & Fernández-Recio, J. (2013). Conformational transitions in human translin enable nucleic acid binding. Nucleic Acids Research, 41(21), 9956–9966. https://doi.org/10.1093/nar/gkt765
Moretti, R., Fleishman, S. J., Agius, R., Torchala, M., Bates, P. A., Kastritis, P. L., Rodrigues, J. P. G. L. M., Trellet, M., Bonvin, A. M. J. J., Cui, M., Rooman, M., Gillis, D., Dehouck, Y., Moal, I., Romero-Durana, M., Perez-Cano, L., Pallara, C., Jimenez, B., Fernandez-Recio, J., … Baker, D. (2013). Community-wide evaluation of methods for predicting the effect of mutations on protein-protein interactions. Proteins: Structure, Function, and Bioinformatics, 81(11), 1980–1987. Portico. https://doi.org/10.1002/prot.24356
Agius, R., Torchala, M., Moal, I. H., Fernández-Recio, J., & Bates, P. A. (2013). Characterizing Changes in the Rate of Protein-Protein Dissociation upon Interface Mutation Using Hotspot Energy and Organization. PLoS Computational Biology, 9(9), e1003216. https://doi.org/10.1371/journal.pcbi.1003216
Lensink, M. F., Moal, I. H., Bates, P. A., Kastritis, P. L., Melquiond, A. S. J., Karaca, E., Schmitz, C., van Dijk, M., Bonvin, A. M. J. J., Eisenstein, M., Jiménez‐García, B., Grosdidier, S., Solernou, A., Pérez‐Cano, L., Pallara, C., Fernández‐Recio, J., Xu, J., Muthu, P., Praneeth Kilambi, K., … Wodak, S. J. (2013). Blind prediction of interfacial water positions in CAPRI. Proteins: Structure, Function, and Bioinformatics, 82(4), 620–632. Portico. https://doi.org/10.1002/prot.24439
Fernandez-Recio, J., & Verma, C. (2012). Theory and simulation: complexity and emergence. Current Opinion in Structural Biology, 22(2), 127–129. https://doi.org/10.1016/j.sbi.2012.02.002
Moal, I. H., & Fernández-Recio, J. (2012). SKEMPI: a Structural Kinetic and Energetic database of Mutant Protein Interactions and its use in empirical models. Bioinformatics, 28(20), 2600–2607. https://doi.org/10.1093/bioinformatics/bts489
Grosdidier, S., & Fernandez-Recio, J. (2012). Protein-protein Docking and Hot-spot Prediction for Drug Discovery. Current Pharmaceutical Design, 18(30), 4607–4618. https://doi.org/10.2174/138161212802651599
Taboureau, O., Baell, J. B., Fernández-Recio, J., & Villoutreix, B. O. (2012). Established and Emerging Trends in Computational Drug Discovery in the Structural Genomics Era. Chemistry & Biology, 19(1), 29–41. https://doi.org/10.1016/j.chembiol.2011.12.007
Pons, C., Jiménez-González, D., González-Álvarez, C., Servat, H., Cabrera-Benítez, D., Aguilar, X., & Fernández-Recio, J. (2012). Cell-Dock: high-performance protein–protein docking. Bioinformatics, 28(18), 2394–2396. https://doi.org/10.1093/bioinformatics/bts454
Grosdidier, S., Carbó, L. R., Buzón, V., Brooke, G., Nguyen, P., Baxter, J. D., Bevan, C., Webb, P., Estébanez-Perpiñá, E., & Fernández-Recio, J. (2012). Allosteric Conversation in the Androgen Receptor Ligand-Binding Domain Surfaces. Molecular Endocrinology, 26(7), 1078–1090. https://doi.org/10.1210/me.2011-1281
Pérez‐Cano, L., Jiménez‐García, B., & Fernández‐Recio, J. (2012). A protein‐RNA docking benchmark (II): Extended set from experimental and homology modeling data. Proteins: Structure, Function, and Bioinformatics, 80(7), 1872–1882. Portico. https://doi.org/10.1002/prot.24075
Emperador, A., Solernou, A., Sfriso, P., Pons, C., Gelpi, J. L., Fernandez-Recio, J., & Orozco, M. (2012). Efficient Relaxation of Protein–Protein Interfaces by Discrete Molecular Dynamics Simulations. Journal of Chemical Theory and Computation, 9(2), 1222–1229. https://doi.org/10.1021/ct301039e
Pons, C., Talavera, D., de la Cruz, X., Orozco, M., & Fernandez-Recio, J. (2011). Scoring by Intermolecular Pairwise Propensities of Exposed Residues (SIPPER): A New Efficient Potential for Protein−Protein Docking. Journal of Chemical Information and Modeling, 51(2), 370–377. https://doi.org/10.1021/ci100353e
Solernou, A., & Fernandez-Recio, J. (2011). pyDockCG: New Coarse-Grained Potential for Protein–Protein Docking. The Journal of Physical Chemistry B, 115(19), 6032–6039. https://doi.org/10.1021/jp112292b
Pons, C., Glaser, F., & Fernandez-Recio, J. (2011). Prediction of protein-binding areas by small-world residue networks and application to docking. BMC Bioinformatics, 12(1). https://doi.org/10.1186/1471-2105-12-378
Fernández‐Recio, J. (2011). Prediction of protein binding sites and hot spots. WIREs Computational Molecular Science, 1(5), 680–698. Portico. https://doi.org/10.1002/wcms.45
Helft, L., Reddy, V., Chen, X., Koller, T., Federici, L., Fernández-Recio, J., Gupta, R., & Bent, A. (2011). LRR Conservation Mapping to Predict Functional Sites within Protein Leucine-Rich Repeat Domains. PLoS ONE, 6(7), e21614. https://doi.org/10.1371/journal.pone.0021614
Fleishman, S. J., Whitehead, T. A., Strauch, E.-M., Corn, J. E., Qin, S., Zhou, H.-X., Mitchell, J. C., Demerdash, O. N. A., Takeda-Shitaka, M., Terashi, G., Moal, I. H., Li, X., Bates, P. A., Zacharias, M., Park, H., Ko, J., Lee, H., Seok, C., Bourquard, T., … Baker, D. (2011). Community-Wide Assessment of Protein-Interface Modeling Suggests Improvements to Design Methodology. Journal of Molecular Biology, 414(2), 289–302. https://doi.org/10.1016/j.jmb.2011.09.031
Fernández-Recio, J., & Verma, C. (2010). Theory and simulation: integrating models into experimental scenarios. Current Opinion in Structural Biology, 20(2), 139–141. https://doi.org/10.1016/j.sbi.2010.02.002
Fernández‐Recio, J., & Sternberg, M. J. E. (2010). The 4th meeting on the Critical Assessment of Predicted Interaction (CAPRI) held at the Mare Nostrum, Barcelona. Proteins: Structure, Function, and Bioinformatics, 78(15), 3065–3066. Portico. https://doi.org/10.1002/prot.22801
Pons, C., D’Abramo, M., Svergun, D. I., Orozco, M., Bernadó, P., & Fernández-Recio, J. (2010). Structural Characterization of Protein–Protein Complexes by Integrating Computational Docking with Small-angle Scattering Data. Journal of Molecular Biology, 403(2), 217–230. https://doi.org/10.1016/j.jmb.2010.08.029
Solernou, A., & Fernandez-Recio, J. (2010). Protein docking by Rotation-Based Uniform Sampling (RotBUS) with fast computing of intermolecular contact distance and residue desolvation. BMC Bioinformatics, 11(1). https://doi.org/10.1186/1471-2105-11-352
Pons, C., Solernou, A., Perez‐Cano, L., Grosdidier, S., & Fernandez‐Recio, J. (2010). Optimization of pyDock for the new CAPRI challenges: Docking of homology‐based models, domain–domain assembly and protein‐RNA binding. Proteins: Structure, Function, and Bioinformatics, 78(15), 3182–3188. Portico. https://doi.org/10.1002/prot.22773
Eliahoo, E., Ben Yosef, R., Pérez-Cano, L., Fernández-Recio, J., Glaser, F., & Manor, H. (2010). Mapping of interaction sites of the Schizosaccharomyces pombe protein Translin with nucleic acids and proteins: a combined molecular genetics and bioinformatics study. Nucleic Acids Research, 38(9), 2975–2989. https://doi.org/10.1093/nar/gkp1230
Valdés, H., Díaz, N., Suárez, D., & Fernández-Recio, J. (2010). Interdomain Conformations in the Full-Length MMP-2 Enzyme Explored by Protein−Protein Docking Calculations Using pyDock. Journal of Chemical Theory and Computation, 6(7), 2204–2213. https://doi.org/10.1021/ct100097x
Alías, M., Ayuso-Tejedor, S., Fernández-Recio, J., Cativiela, C., & Sancho, J. (2010). Helix propensities of conformationally restricted amino acids. Non-natural substitutes for helix breaking proline and helix forming alanine. Organic & Biomolecular Chemistry, 8(4), 788. https://doi.org/10.1039/b919671d
Kurzak, J., Bader, D. A., & Dongarra, J. (Eds.). (2010). Scientific Computing with Multicore and Accelerators. https://doi.org/10.1201/b10376
Pérez-Cano, L., & Fernández-Recio, J. (2010). Dissection and prediction of RNA-binding sites on proteins. Bmc, 1(5–6), 345–355. https://doi.org/10.1515/bmc.2010.037
Bernadó, P., Pérez, Y., Blobel, J., Fernández‐Recio, J., Svergun, D. I., & Pons, M. (2009). Structural characterization of unphosphorylated STAT5a oligomerization equilibrium in solution by small‐angle X‐ray scattering. Protein Science, 18(4), 716–726. Portico. https://doi.org/10.1002/pro.83
Mosca, R., Pons, C., Fernández-Recio, J., & Aloy, P. (2009). Pushing Structural Information into the Yeast Interactome by High-Throughput Protein Docking Experiments. PLoS Computational Biology, 5(8), e1000490. https://doi.org/10.1371/journal.pcbi.1000490
Arafat, Y., Kamruzzaman, J., Karmakar, G. C., & Recio, J. F. (2009). Predicting protein protein interfaces as clusters of Optimal Docking Area points. International Journal of Data Mining and Bioinformatics, 3(1), 55. https://doi.org/10.1504/ijdmb.2009.023884
Casasoli, M., Federici, L., Spinelli, F., Di Matteo, A., Vella, N., Scaloni, F., Fernandez-Recio, J., Cervone, F., & De Lorenzo, G. (2009). Integration of evolutionary and desolvation energy analysis identifies functional sites in a plant immunity protein. Proceedings of the National Academy of Sciences, 106(18), 7666–7671. https://doi.org/10.1073/pnas.0812625106
Grosdidier, S., & Fernández-Recio, J. (2009). Docking and scoring: applications to drug discovery in the interactomics era. Expert Opinion on Drug Discovery, 4(6), 673–686. https://doi.org/10.1517/17460440903002067
Pons, C., Grosdidier, S., Solernou, A., Pérez‐Cano, L., & Fernández‐Recio, J. (2009). Present and future challenges and limitations in protein–protein docking. Proteins: Structure, Function, and Bioinformatics, 78(1), 95–108. Portico. https://doi.org/10.1002/prot.22564
Pérez‐Cano, L., & Fernández‐Recio, J. (2009). Optimal protein‐RNA area, OPRA: A propensity‐based method to identify RNA‐binding sites on proteins. Proteins: Structure, Function, and Bioinformatics, 78(1), 25–35. Portico. https://doi.org/10.1002/prot.22527
Garzon, J. I., Lopéz-Blanco, J. R., Pons, C., Kovacs, J., Abagyan, R., Fernandez-Recio, J., & Chacon, P. (2009). FRODOCK: a new approach for fast rotational protein–protein docking. Bioinformatics, 25(19), 2544–2551. https://doi.org/10.1093/bioinformatics/btp447
Cheng, T. M., Blundell, T. L., & Fernandez-Recio, J. (2008). Structural assembly of two-domain proteins by rigid-body docking. BMC Bioinformatics, 9(1). https://doi.org/10.1186/1471-2105-9-441
Degryse, B., Fernandez-Recio, J., Citro, V., Blasi, F., & Cubellis, M. V. (2008). In silico docking of urokinase plasminogen activator and integrins. BMC Bioinformatics, 9(S2). https://doi.org/10.1186/1471-2105-9-s2-s8
Grosdidier, S., & Fernández-Recio, J. (2008). Identification of hot-spot residues in protein-protein interactions by computational docking. BMC Bioinformatics, 9(1). https://doi.org/10.1186/1471-2105-9-447
Fernández-Recio, J., & Verma, C. (2008). Editorial. Current Opinion in Structural Biology, 18(2), 131–133. https://doi.org/10.1016/j.sbi.2008.03.001
Hart, S. E., Howe, C. J., Mizuguchi, K., & Fernandez-Recio, J. (2008). Docking of cytochrome c6 and plastocyanin to the aa3-type cytochrome c oxidase in the cyanobacterium Phormidium laminosum. Protein Engineering, Design and Selection, 21(12), 689–698. https://doi.org/10.1093/protein/gzn051
Medina, M., Abagyan, R., Gómez‐Moreno, C., & Fernandez‐Recio, J. (2008). Docking analysis of transient complexes: Interaction of ferredoxin‐NADP+ reductase with ferredoxin and flavodoxin. Proteins: Structure, Function, and Bioinformatics, 72(3), 848–862. Portico. https://doi.org/10.1002/prot.21979
Pallarès, I., Fernández, D., Comellas-Bigler, M., Fernández-Recio, J., Ventura, S., Avilés, F. X., Bode, W., & Vendrell, J. (2008). Direct interaction between a human digestive protease and the mucoadhesive poly(acrylic acid). Acta Crystallographica Section D Biological Crystallography, 64(7), 784–791. https://doi.org/10.1107/s0907444908013474
Bavro, V. N., Pietras, Z., Furnham, N., Pérez-Cano, L., Fernández-Recio, J., Pei, X. Y., Misra, R., & Luisi, B. (2008). Assembly and Channel Opening in a Bacterial Drug Efflux Machine. Molecular Cell, 30(1), 114–121. https://doi.org/10.1016/j.molcel.2008.02.015
Fort, J., de la Ballina, L. R., Burghardt, H. E., Ferrer-Costa, C., Turnay, J., Ferrer-Orta, C., Usón, I., Zorzano, A., Fernández-Recio, J., Orozco, M., Lizarbe, M. A., Fita, I., & Palacín, M. (2007). The Structure of Human 4F2hc Ectodomain Provides a Model for Homodimerization and Electrostatic Interaction with Plasma Membrane. Journal of Biological Chemistry, 282(43), 31444–31452. https://doi.org/10.1074/jbc.m704524200
Fernández, D., Vendrell, J., Avilés, F. X., & Fernández‐Recio, J. (2007). Structural and functional characterization of binding sites in metallocarboxypeptidases based on Optimal Docking Area analysis. Proteins: Structure, Function, and Bioinformatics, 68(1), 131–144. Portico. https://doi.org/10.1002/prot.21390
Chandran, V., Poljak, L., Vanzo, N. F., Leroy, A., Miguel, R. N., Fernandez-Recio, J., Parkinson, J., Burns, C., Carpousis, A. J., & Luisi, B. F. (2007). Recognition and Cooperation Between the ATP-dependent RNA Helicase RhlB and Ribonuclease RNase E. Journal of Molecular Biology, 367(1), 113–132. https://doi.org/10.1016/j.jmb.2006.12.014
Cheng, T. M., Blundell, T. L., & Fernandez‐Recio, J. (2007). pyDock: Electrostatics and desolvation for effective scoring of rigid‐body protein–protein docking. Proteins: Structure, Function, and Bioinformatics, 68(2), 503–515. Portico. https://doi.org/10.1002/prot.21419
Grosdidier, S., Pons, C., Solernou, A., & Fernández‐Recio, J. (2007). Prediction and scoring of docking poses with pyDock. Proteins: Structure, Function, and Bioinformatics, 69(4), 852–858. Portico. https://doi.org/10.1002/prot.21796
Bonivento, D., Pontiggia, D., Matteo, A. D., Fernandez‐Recio, J., Salvi, G., Tsernoglou, D., Cervone, F., Lorenzo, G. D., & Federici, L. (2007). Crystal structure of the endopolygalacturonase from the phytopathogenic fungus Colletotrichum lupini and its interaction with polygalacturonase‐inhibiting proteins. Proteins: Structure, Function, and Bioinformatics, 70(1), 294–299. Portico. https://doi.org/10.1002/prot.21610
Arafat, Y., Karmakar, G. C., Kamruzzaman, J., & Fernandez-Recio, J. (2006). Predicting Protein-Protein Interface using Desolvation Energy Similarity Matching. 2006 IEEE Symposium on Computational Intelligence and Bioinformatics and Computational Biology, 1–8. https://doi.org/10.1109/cibcb.2006.331004
Federici, L., Di Matteo, A., Fernandez-Recio, J., Tsernoglou, D., & Cervone, F. (2006). Polygalacturonase inhibiting proteins: players in plant innate immunity? Trends in Plant Science, 11(2), 65–70. https://doi.org/10.1016/j.tplants.2005.12.005
Yraola, F., García-Vicente, S., Fernández-Recio, J., Albericio, F., Zorzano, A., Marti, L., & Royo, M. (2006). New Efficient Substrates for Semicarbazide-Sensitive Amine Oxidase/VAP-1 Enzyme: Analysis by SARs and Computational Docking. Journal of Medicinal Chemistry, 49(21), 6197–6208. https://doi.org/10.1021/jm051076e
Bolanos-Garcia, V. M., Fernandez-Recio, J., Allende, J. E., & Blundell, T. L. (2006). Identifying interaction motifs in CK2β – a ubiquitous kinase regulatory subunit. Trends in Biochemical Sciences, 31(12), 654–661. https://doi.org/10.1016/j.tibs.2006.10.005
Chelliah, V., Blundell, T. L., & Fernández-Recio, J. (2006). Efficient Restraints for Protein–Protein Docking by Comparison of Observed Amino Acid Substitution Patterns with those Predicted from Local Environment. Journal of Molecular Biology, 357(5), 1669–1682. https://doi.org/10.1016/j.jmb.2006.01.001
Orozco, M., Noy, A., Meyer, T., Rueda, M., Ferrer, C., Valencia, A., Pérez, A., Carrillo, O., Fernandez-Recio, J., de la Cruz, X., & Luque, F. J. (2006). Data Mining of Molecular Dynamic Trajectories of Nucleic Acids. Computational Studies of RNA and DNA, 121–145. https://doi.org/10.1007/978-1-4020-4851-3_5
Blundell, T. L., & Fernández-Recio, J. (2006). Brief encounters bolster contacts. Nature, 444(7117), 279–280. https://doi.org/10.1038/nature05306
Sicilia, F., Fernandez-Recio, J., Caprari, C., De Lorenzo, G., Tsernoglou, D., Cervone, F., & Federici, L. (2005). The Polygalacturonase-Inhibiting Protein PGIP2 of Phaseolus vulgaris Has Evolved a Mixed Mode of Inhibition of Endopolygalacturonase PG1 of Botrytis cinerea. Plant Physiology, 139(3), 1380–1388. https://doi.org/10.1104/pp.105.067546
Federici, L., Du, D., Walas, F., Matsumura, H., Fernandez-Recio, J., McKeegan, K. S., Borges-Walmsley, M. I., Luisi, B. F., & Walmsley, A. R. (2005). The Crystal Structure of the Outer Membrane Protein VceC from the Bacterial Pathogen Vibrio cholerae at 1.8 Å Resolution. Journal of Biological Chemistry, 280(15), 15307–15314. https://doi.org/10.1074/jbc.m500401200
Fernández‐Recio, J., Abagyan, R., & Totrov, M. (2005). Improving CAPRI predictions: Optimized desolvation for rigid‐body docking. Proteins: Structure, Function, and Bioinformatics, 60(2), 308–313. Portico. https://doi.org/10.1002/prot.20575
López-Llano, J., Maldonado, S., Jain, S., Lostao, A., Godoy-Ruiz, R., Sanchez-Ruiz, J. M., Cortijo, M., Fernández-Recio, J., & Sancho, J. (2004). The Long and Short Flavodoxins. Journal of Biological Chemistry, 279(45), 47184–47191. https://doi.org/10.1074/jbc.m405791200
Fernandez-Recio, J., Walas, F., Federici, L., Venkatesh Pratap, J., Bavro, V. N., Miguel, R. N., Mizuguchi, K., & Luisi, B. (2004). A model of a transmembrane drug‐efflux pump from Gram‐negative bacteria. FEBS Letters, 578(1–2), 5–9. Portico. https://doi.org/10.1016/j.febslet.2004.10.097
Fernandez‐Recio, J., Totrov, M., Skorodumov, C., & Abagyan, R. (2004). Optimal docking area: A new method for predicting protein–protein interaction sites. Proteins: Structure, Function, and Bioinformatics, 58(1), 134–143. Portico. https://doi.org/10.1002/prot.20285
Fernández‐Recio, J., Totrov, M., & Abagyan, R. (2003). ICM‐DISCO docking by global energy optimization with fully flexible side‐chains. Proteins: Structure, Function, and Bioinformatics, 52(1), 113–117. Portico. https://doi.org/10.1002/prot.10383
Harmer, N. J., Pellegrini, L., Chirgadze, D., Fernandez-Recio, J., & Blundell, T. L. (2003). The Crystal Structure of Fibroblast Growth Factor (FGF) 19 Reveals Novel Features of the FGF Family and Offers a Structural Basis for Its Unusual Receptor Affinity,. Biochemistry, 43(3), 629–640. https://doi.org/10.1021/bi035320k
Fernández‐Recio, J., Totrov, M., & Abagyan, R. (2002). Soft protein–protein docking in internal coordinates. Protein Science, 11(2), 280–291. Portico. https://doi.org/10.1110/ps.19202
Fernández-Recio, J., Genzor, C. G., & Sancho, J. (2001). Apoflavodoxin Folding Mechanism: An α/β Protein with an Essentially Off-Pathway Intermediate. Biochemistry, 40(50), 15234–15245. https://doi.org/10.1021/bi010216t
Madoz-Gúrpide, J., Abad, J. M., Fernández-Recio, J., Vélez, M., Vázquez, L., Gómez-Moreno, C., & Fernández, V. M. (2000). Modulation of Electroenzymatic NADPH Oxidation through Oriented Immobilization of Ferredoxin:NADP+ Reductase onto Modified Gold Electrodes. Journal of the American Chemical Society, 122(40), 9808–9817. https://doi.org/10.1021/ja001365m
Fernández-Recio, J., Romero, A., & Sancho, J. (1999). Energetics of a hydrogen bond (charged and neutral) and of a cation-π interaction in apoflavodoxin 1 1Edited by A. R. Fersht. Journal of Molecular Biology, 290(1), 319–330. https://doi.org/10.1006/jmbi.1999.2863
Madoz, J., Fernández-Recio, J., Gómez-Moreno, C., & Fernández, V. M. (1998). Investigation of the diaphorase reaction of ferredoxin-NADP+ reductase by electrochemical methods. Bioelectrochemistry and Bioenergetics, 47(1), 179–183. https://doi.org/10.1016/s0302-4598(98)00175-5
Fernández-Recio, J., & Sancho, J. (1998). Intrahelical side chain interactions in α‐helices: poor correlation between energetics and frequency. FEBS Letters, 429(1), 99–103. Portico. https://doi.org/10.1016/s0014-5793(98)00569-9
Maldonado, S., Lostao, A., Irún, M. P., Férnandez-Recio, J., Genzor, C. G., González, E. B., Rubio, J. A., Luquita, A., Daoudi, F., & Sancho, J. (1998). Apoflavodoxin: Structure, stability, and FMN binding. Biochimie, 80(10), 813–820. https://doi.org/10.1016/s0300-9084(00)88876-8
Fernández-Recio, J., Vázquez, A., Civera, C., Sevilla, P., & Sancho, J. (1997). The Tryptophan/Histidine interaction in α-helices. Journal of Molecular Biology, 267(1), 184–197. https://doi.org/10.1006/jmbi.1996.0831
Fernández-Recio, J., Vázquez, A., Civera, C., Sevilla, P., & Sancho, J. (1997). The tryptophan/histidine interaction in α-helices. Journal of Molecular Biology, 270(3), 535. https://doi.org/10.1006/jmbi.1997.1117
Research lines:
- New AI-based methods for the structural modeling of protein assemblies: integration of pyDock and AlphaFold
- Development of new methodology for the energetic description of protein interactions
- Molecular modeling of biological processes and mechanisms
- Multi-scale of complex biological data in One Health
Funding:
- NEW METHODS FOR BIOLOGICAL MODELING: PROTEIN INTERACTIONS, MUTATIONS, POLYPHENOLS AND HEALTH (BIOMODELPROT): Proyectos Generación Conocimiento 2022, MCI. National. 07/2023-06/2026.
- NUEVAS TECNOLOGÍAS DIGITALES Y DE PROTEÍNAS EN PROCESOS DE VINIFICACIÓN PARA ABORDAR LOS RETOS DEL SECTOR ENOLÓGICO EN EL TERRITORIO POCTEFA (OENOPROT): Programa Interreg VI-A España-Francia-Andorra POCTEFA . EU. 03/2024-02/2027.
- BIOINFORMÁTICA, ANÁLISIS DE DATOS Y MODELIZACIÓN PARA EL AVANCE DE LA VITIVINICULTURA: Programa MOMENTUM CSIC. National. 12/2024-12/2028.
- ONETICK: AN INTEGRATED ONE HEALTH APPROACH FOR PREVENTION, DETECTION AND TREATMENT OF TICK-BORNE DISEASES IN URBAN AND PERI-URBAN ENVIRONMENTS: MSCA Staff Exchanges. EU. 01/2026-12/2029.
- GRUPO DE INVESTIGACIÓN RECONOCIDO BIOINFORMATICA ESTRUCTURAL, MODELADO Y MECANISMOS BIOLOGICOS: Universidad de la Rioja. Regional. 01/2025-12/2027.
More info
Collaborating Companies: Nostrumbiodiscovery.
VIVEbiotech.
Spin-off: No
Patents: 1. Yraola, F., García-Vicente, S., Fernandez-Recio, J., Albericio, F., Zorzano, A., Royo, M., Marti, L. (2007) META-XYLYLENEDIAMINE VANADATE SALTS. Intl. Application # PCT/EP2007/054668; Publication # WO 2007 131996. Priority country: Intl. (US)
2. Mourah, S., Villoutreix, B., Khayati, F., Menashi, S., Lebbe, C., Fernández-Recio, J., Calvo, F. (2016) POLYPEPTIDES FOR THE TREATMENT OF ANGIOGENESIS OR LYMPHANGIOGENESIS-RELATED DISEASES. Intl. Application # PCT/EP2015/077555; Publication # WO 2016/083409. Priority country: Intl. (US)
Participation in:
Master Programs: MSc on Bioinformatics for Health Sciences (U Pompeu Fabra, U Barcelona). Máster en Bioinformática y Bioestadística (UOC). Master In Silico Drug Design (U Paris Cité).
Doctoral Programs: Biomedicina (U Barcelona). Química (U Rioja). Ciencias Biomédicas y Biotecnológicas (U Rioja).
International Research Networks: A sound proteome for a sound body: targeting proteolysis for proteome remodeling. Cost Action (CA20113 ProteoCURE). Non-globular proteins in the era of Machine Learning. Cost Action (CA21160 ML4NGP).
Other Participation: national
