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| Protein Interactions and Docking |
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Protein Interactions and DockingOVERVIEW Protein-protein association is essential for most of biological processes in living organisms. We want to understand the formation of specific complexes between proteins, and be able to predict the structure of such complexes. For that, we are working on algorithmic solutions, based on physico-chemical principles, with the help of computational power. Our group is highly multidisciplinar, and strongly motivated to contribute to this challenging scientific area. RESEARCH DIRECTOR ![]() OBJECTIVES Our research focuses on theoretical and computational approaches to protein-protein association. Two major goals of our research are: i) development of computational tools for protein docking and binding site prediction, and ii) understanding the mechanism of protein-protein association. We aim to develop and optimize computational algorithms for characterizing and understanding protein-protein interactions, which remains one of the most important challenges in Structural Biology. Among others, we have developed software for prediction of protein-protein complex structure by docking simulations, identification of binding sites on protein surfaces, prediction of hot-spot residues from energy calculations, etc. On the most practical side, we want to provide rationales for protein interactions of biological and therapeutical interest. With this aim, we have established collaborations with different experimental laboratories, and have thus provided atomistic models for protein-protein complexes involved in different biological processes, such as signal transduction, plant immune system, drug transport in bacteria, and electron transfer during photosynthesis. Our models are being continuosly evaluated both by our in-house benchmarks, and also externally through the CAPRI competition. The ultimate goal of our research is to understand the subtle determinants of the specificity of protein-protein association, which in turn will help us to make more accurate predictions of complexes of biological and therapeutical interest. All this knowledge will also help to understand the interaction of small molecules with protein-protein interfaces, with the goal of designing compounds capable of inhibit protein interactions of therapeutical interest. ![]() PROJECTS/AREAS Algorithms for protein-protein docking based on FFT and Global Energy Optimization Prediction of protein interaction sites and hot-spots Understanding protein-protein association mechanism Flexible algorithms for protein-protein docking Prediction of electron-transfer complexes Prediction of multi-protein systems JOB OFFERS We are always seeking for highly motivated people with a grade or doctorate in a scientific discipline (Chemistry, Physics, Bioinformatics, Biology, Biotechnology, Pharmacy) who want to do research at predoctoral and postdoctoral level in a multi-disciplinary field such as Structural Bioinformatics of Protein-Protein Interactions. Computer scientists and software engineers are also needed. If you are interested, please send your CV and a statement of interests to Dr. Juan Fernandez-Recio. Pre-doctoral position Post-doctoral position SELECTED PUBLICATIONS (2005 - present) Federici, L., Du, D., Walas, F., Matsumura, H., Fernandez-Recio, J., Borges-Walmsley, I., Luisi, B.F., Walmsley, A. (2005) The crystal structure of the outer membrane protein VceC from the bacterial pathogen Vibrio cholerae at 1.8 A resolution. J.Biol.Chem. 280, 15307-15314 Fernandez-Recio, J., Abagyan, R., Totrov, M. (2005) Improved CAPRI predictions: optimized desolvation for rigid-body docking. Proteins 60, 308-313 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 endo-polygalacturonase PG1 of Botrytis cinerea. Plant Physiology 139, 1380-1388 Federici, L., Di Matteo, A., Fernandez-Recio, J., Tsernoglou, D., Cervone, F. (2006) Polygalacturonase inhibiting proteins: players in plant innate immunity? Trends Plant Sci. 11, 65-70 Noy A, Meyer T, Rueda M, Ferrer C, Valencia A, Perez A, de la Cruz X, Lopez-Bes JM, Pouplana R, Fernandez-Recio, J., Luque FJ, Orozco M. (2006) Data mining of molecular dynamics trajectories of nucleic acids. J Biomol Struct Dyn. 23, 447-456 Chelliah V, Blundell TL, Fernandez-Recio, J. (2006) Efficient Restraints for Protein-Protein Docking by Comparison of Observed Amino Acid Substitution Patterns with those Predicted from Local Environment. J.Mol.Biol. 357, 1669-1682 Yraola, F., Garcia-Vicente, S., Fernandez-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. J.Med.Chem 49, 6197-6208
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. J.Mol.Biol. 367, 113-132. Fernández, D., Vendrell, J., Avilés, F.X., Fernández-Recio,
J. (2007) Structural and functional characterization of binding sites in metallopeptidases based on ODA
analysis. Proteins.68, 131-144 Cheng, T., Blundell, T.L., Fernández-Recio, J. (2007) pyDockSER: scoring of rigid-body docking orientations by electrostatics and desolvation. Proteins 68, 503-515. 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. J.Biol.Chem. 282, 31444-31452
Bonivento, D., Pontiggia, D., Matteo, A.D., Fernandez-Recio, J., Salvi,
G., Tsernoglou, D., Cervone, F., de Lorenzo, G. and Federici, L. (2008) Bavro, V., Pietras, Z., Furnham, N.,
Pérez-Cano, L., Fernández-Recio, J., Yuan Pei, X., Misra, R. and Luisi, B.. (2008) Channel opening and allostery in a
bacterial drug efflux machine. Mol.
Cell. 30, 114-121. Fernández-Recio,
J. and Verma, C. (2008) Theory and simulation. Editorial overview. Curr. Opin. Struct. Biol. (2008) 18, 131-133. Degryse, B., Fernandez-Recio,
J., Citro, V., Blasi, F. and Cubellis, M.V. (2008) In silico docking of
urokinase plasminogen activator and integrins. BMC Bioinformatics 9
Suppl 2, S8 Pallarčs,
I., Fernández, D., Comellas-Bigler, M., Fernández-Recio, J., Hart, S.E., Howe, C.J., Mizuguchi,
K. and Fernández-Recio, J. (2008) Docking of cytochrome c6 and plastocyanin to the
aa3-type cytochrome c oxidase in the cyanobacterium Phormidium laminosum. Protein Cheng,
T.M.K.., Blundell, T.L. and Fernández-Recio, J. (2008) Structural assembly of
two-domain proteins by rigid-body docking. BMC
Bioinformatics 9, 441. Grosdidier, S. and Fernández-Recio,
J. (2008) Prediction of hot-spot residues in protein-protein interaction from
rigid-body docking simulations. BMC
Bioinformatics 9, 447. Solernou, A. and
Fernández-Recio, J. (2008) Computational tools for exploration of the energy
landscape in protein-protein association. AIP Conf. Proc. 1071,
98-108.
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