Computational Biochemistry of Membrane Receptors

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Computational simulation of biomolecules includes three dimensional modeling of receptors, simulation of their mechanisms of activation and elucidation of the molecular basis of their regulation by other molecules. Computational modeling has established as basic component to understand biochemistry, molecular pharmacology and designing drug-like compounds. In our lab, we have specialised in developing computational methods to answer each of this points and apply our protocols to understand the signalling mechanism of membrane receptors, with a special focus on G protein-coupled receptors (GPCRs), arguably the largest family of drug targets. Our areas of interest include i) understanding and improving regulatory mechanisms by allosteric modulation, ii) design of novel chemical space with improved pharmacological profiles, iii) development of highly efficient physics-based modeling protocols, both to screen chemical compounds and to predicting the effect of pathogenic mutations.

Research topics:

Analysis packages (R, Python, etc.), Applications of Computational Biology, Bioinformatics Software and Tools, Biomolecular simulation, Computational Methods, Computational models and simulations, Drug Discovery and design, Molecular Interactions/Docking, Mutation Analysis and design, Structural bioinformatics, Structure prediction, Web-service, Workflow managers

Publications

Conflitti, P., Lyman, E., Sansom, M. S. P., Hildebrand, P. W., Gutiérrez-de-Terán, H., Carloni, P., Ansell, T. B., Yuan, S., Barth, P., Robinson, A. S., Tate, C. G., Gloriam, D., Grzesiek, S., Eddy, M. T., Prosser, S., & Limongelli, V. (2025). Functional dynamics of G protein-coupled receptors reveal new routes for drug discovery. Nature Reviews Drug Discovery, 24(4), 251–275. https://doi.org/10.1038/s41573-024-01083-3

More info

Collaborating Companies: Edelris (https://www.edelris.com/)

Spin-off: Modsim Pharma (https://modsim-pharma.com/)

HPC Resources: in house - Cuelebre
DRAGO