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General info

Full name

Juan Fernández Recio

BCB Committee: Talent attraction and training

BCB Community: No communities assigned.

BCB Tools: pyDockDNA, pyDock

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
Displayed publications: 133

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


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