Structure-based computational analysis of protein binding sites for function and druggability prediction
- PMID: 22197384
- DOI: 10.1016/j.jbiotec.2011.12.005
Structure-based computational analysis of protein binding sites for function and druggability prediction
Abstract
Protein binding sites are the places where molecular interactions occur. Thus, the analysis of protein binding sites is of crucial importance to understand the biological processes proteins are involved in. Herein, we focus on the computational analysis of protein binding sites and present structure-based methods that enable function prediction for orphan proteins and prediction of target druggability. We present the general ideas behind these methods, with a special emphasis on the scopes and limitations of these methods and their validation. Additionally, we present some successful applications of computational binding site analysis to emphasize the practical importance of these methods for biotechnology/bioeconomy and drug discovery.
Copyright © 2011 Elsevier B.V. All rights reserved.
Similar articles
-
DrugPred: a structure-based approach to predict protein druggability developed using an extensive nonredundant data set.J Chem Inf Model. 2011 Nov 28;51(11):2829-42. doi: 10.1021/ci200266d. Epub 2011 Oct 13. J Chem Inf Model. 2011. PMID: 21995295
-
Form follows function: shape analysis of protein cavities for receptor-based drug design.Proteomics. 2009 Jan;9(2):451-9. doi: 10.1002/pmic.200800092. Proteomics. 2009. PMID: 19142949
-
Computational methodologies for compound database searching that utilize experimental protein-ligand interaction information.Chem Biol Drug Des. 2010 Sep 1;76(3):191-200. doi: 10.1111/j.1747-0285.2010.01007.x. Epub 2010 Jul 15. Chem Biol Drug Des. 2010. PMID: 20636330 Review.
-
Automated structure-based prediction of functional sites in proteins: applications to assessing the validity of inheriting protein function from homology in genome annotation and to protein docking.J Mol Biol. 2001 Aug 10;311(2):395-408. doi: 10.1006/jmbi.2001.4870. J Mol Biol. 2001. PMID: 11478868
-
Predicting protein druggability.Drug Discov Today. 2005 Dec;10(23-24):1675-82. doi: 10.1016/S1359-6446(05)03624-X. Drug Discov Today. 2005. PMID: 16376828 Review.
Cited by
-
CryptoSite: Expanding the Druggable Proteome by Characterization and Prediction of Cryptic Binding Sites.J Mol Biol. 2016 Feb 22;428(4):709-719. doi: 10.1016/j.jmb.2016.01.029. Epub 2016 Feb 5. J Mol Biol. 2016. PMID: 26854760 Free PMC article.
-
Specific glycine-dependent enzyme motion determines the potency of conformation selective inhibitors of threonyl-tRNA synthetase.Commun Biol. 2024 Jul 16;7(1):867. doi: 10.1038/s42003-024-06559-x. Commun Biol. 2024. PMID: 39014102 Free PMC article.
-
Scaling the druggability landscape of human bromodomains, a new class of drug targets.J Med Chem. 2012 Sep 13;55(17):7342-5. doi: 10.1021/jm3011977. Epub 2012 Aug 28. J Med Chem. 2012. PMID: 22928775 Free PMC article. No abstract available.
-
Intrinsically disordered proteins: Ensembles at the limits of Anfinsen's dogma.Biophys Rev (Melville). 2022 Mar 17;3(1):011306. doi: 10.1063/5.0080512. eCollection 2022 Mar. Biophys Rev (Melville). 2022. PMID: 38505224 Free PMC article. Review.
-
Global organization of a binding site network gives insight into evolution and structure-function relationships of proteins.Sci Rep. 2017 Sep 14;7(1):11652. doi: 10.1038/s41598-017-10412-z. Sci Rep. 2017. PMID: 28912495 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Other Literature Sources