Docking and scoring--theoretically easy, practically impossible?
- PMID: 17073642
- DOI: 10.2174/092986706778521797
Docking and scoring--theoretically easy, practically impossible?
Abstract
Structure-based Drug Design (SBDD) is an essential part of the modern medicinal chemistry, and has led to the acceleration of many projects, and even to drugs on the market. Programs that perform docking and scoring of ligands to receptors are powerful tools in the drug designer's armoury that enhance the process of SBDD. They are even deployed on the desktop of many bench chemists. It is timely to review the state of the art, to understand how good our docking programs are, and what are the issues. In this review we would like to provide a guide around the reliable aspects of docking and scoring and the associated pitfalls aiming at an audience of medicinal chemists rather than modellers. For convenience, we will divide the review into two parts: docking and scoring. Docking concerns the preparation of the receptor and the ligand(s), the sampling of conformational space and stereochemistry (if appropriate). Scoring concerns the evaluation of all of the ligand-receptor poses generated by docking. The two processes are not truly independent, and this will be discussed here in detail. The preparation of the receptor and ligand(s) before docking requires great care. For the receptor, issues of protonation, tautomerisation and hydration are key, and we will discuss current approaches to these issues. Even more important is the degree of sampling: can the algorithms reproduce what is observed experimentally? If they can, are the scoring algorithms good enough to recognise this pose as the best? Do the scores correlate with observed binding affinity? How does local knowledge of the target (for example hinge-binding to a kinase) affect the accuracy of the predictions? We will review the key findings from several evaluation studies and present conclusions about when and how to interpret and trust the results of docking and scoring. Finally, we will present an outline of some of the latest developments in the area of scoring functions.
Similar articles
-
Structure-based drug design: docking and scoring.Curr Protein Pept Sci. 2007 Aug;8(4):312-28. doi: 10.2174/138920307781369382. Curr Protein Pept Sci. 2007. PMID: 17696866 Review.
-
Machine learning in computational docking.Artif Intell Med. 2015 Mar;63(3):135-52. doi: 10.1016/j.artmed.2015.02.002. Epub 2015 Feb 16. Artif Intell Med. 2015. PMID: 25724101
-
Comprehensive evaluation of ten docking programs on a diverse set of protein-ligand complexes: the prediction accuracy of sampling power and scoring power.Phys Chem Chem Phys. 2016 May 14;18(18):12964-75. doi: 10.1039/c6cp01555g. Epub 2016 Apr 25. Phys Chem Chem Phys. 2016. PMID: 27108770
-
Improving docking results via reranking of ensembles of ligand poses in multiple X-ray protein conformations with MM-GBSA.J Chem Inf Model. 2014 Oct 27;54(10):2697-717. doi: 10.1021/ci5003735. Epub 2014 Sep 30. J Chem Inf Model. 2014. PMID: 25266271
-
Importance of molecular computer modeling in anticancer drug development.J BUON. 2007 Sep;12 Suppl 1:S101-18. J BUON. 2007. PMID: 17935268 Review.
Cited by
-
Covalent docking of selected boron-based serine beta-lactamase inhibitors.J Comput Aided Mol Des. 2015 May;29(5):441-50. doi: 10.1007/s10822-015-9834-7. Epub 2015 Feb 13. J Comput Aided Mol Des. 2015. PMID: 25676821
-
Statistical potential for modeling and ranking of protein-ligand interactions.J Chem Inf Model. 2011 Dec 27;51(12):3078-92. doi: 10.1021/ci200377u. Epub 2011 Nov 21. J Chem Inf Model. 2011. PMID: 22014038 Free PMC article.
-
Computational molecular modeling for evaluating the toxicity of environmental chemicals: prioritizing bioassay requirements.Environ Health Perspect. 2008 May;116(5):573-7. doi: 10.1289/ehp.11077. Environ Health Perspect. 2008. PMID: 18470285 Free PMC article.
-
Novel insights from comprehensive analysis: The role of cuproptosis and peripheral immune infiltration in Alzheimer's disease.PLoS One. 2025 Jun 25;20(6):e0325799. doi: 10.1371/journal.pone.0325799. eCollection 2025. PLoS One. 2025. PMID: 40560886 Free PMC article.
-
In vitro and in silico evaluation of antiretrovirals against SARS-CoV-2: A drug repurposing approach.AIMS Microbiol. 2023 Jan 16;9(1):20-40. doi: 10.3934/microbiol.2023002. eCollection 2023. AIMS Microbiol. 2023. PMID: 36891537 Free PMC article.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources