Literature DB >> 18598022

An alternative method for the evaluation of docking performance: RSR vs RMSD.

Dilmurat Yusuf1, Andrew M Davis, Gerard J Kleywegt, Stefan Schmitt.   

Abstract

A new assessment criterion for docking poses is proposed in which experimental electron density is taken into account when evaluating the ability of docking programs to reproduce experimentally observed binding modes. Three docking programs (Gold, Glide, and Fred) were used to generate poses for a set of 88 protein-ligand complexes for which the crystal structure is known. The new criterion is based on the real space R-factor (RSR), which measures how well a group of atoms-in our case the ligand-fits the experimental electron density by comparing that density to the expected density, calculated from the model (i.e., the predicted ligand pose). The RSR-based measure is compared to the traditional criterion, the root-mean-square distance (RMSD) between the docking pose and the binding configuration in the crystallographic model. The results highlight several shortcomings of the RMSD criterion that do not affect the RSR-based measure. Examples illustrate that the RSR-derived approach allows a more meaningful a posteriori assessment of docking methods and results. Practical implications for docking evaluations and for methodological development work in this field are discussed.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18598022     DOI: 10.1021/ci800084x

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  26 in total

1.  Challenges in the determination of the binding modes of non-standard ligands in X-ray crystal complexes.

Authors:  Alpeshkumar K Malde; Alan E Mark
Journal:  J Comput Aided Mol Des       Date:  2010-11-04       Impact factor: 3.686

2.  Energetic analysis of fragment docking and application to structure-based pharmacophore hypothesis generation.

Authors:  Kathryn Loving; Noeris K Salam; Woody Sherman
Journal:  J Comput Aided Mol Des       Date:  2009-05-07       Impact factor: 3.686

3.  Evaluation of Antimicrobial and Antioxidant Potential of Essential Oil from Croton piauhiensis Müll. Arg.

Authors:  Jean Parcelli Costa do Vale; Mayron Alves Vasconcelos; Francisco Vassiliepe Sousa Arruda; Nairley Cardoso Sá Firmino; Anna Luísa Pereira; Alexandre Lopes Andrade; Silvana Saker-Sampaio; Alexandre Holanda Sampaio; Emmanuel Silva Marinho; Alexandre Magno Rodrigues Teixeira; Márcia Machado Marinho; Tigressa Helena Soares Rodrigues; Edson Holanda Teixeira; Hélcio Silva Dos Santos
Journal:  Curr Microbiol       Date:  2021-03-29       Impact factor: 2.188

4.  Docking-undocking combination applied to the D3R Grand Challenge 2015.

Authors:  Sergio Ruiz-Carmona; Xavier Barril
Journal:  J Comput Aided Mol Des       Date:  2016-10-05       Impact factor: 3.686

5.  Prediction of trypsin/molecular fragment binding affinities by free energy decomposition and empirical scores.

Authors:  Mark L Benson; John C Faver; Melek N Ucisik; Danial S Dashti; Zheng Zheng; Kenneth M Merz
Journal:  J Comput Aided Mol Des       Date:  2012-04-04       Impact factor: 3.686

6.  Identification of a novel putative inhibitor of the Plasmodium falciparum purine nucleoside phosphorylase: exploring the purine salvage pathway to design new antimalarial drugs.

Authors:  Luciano Porto Kagami; Gustavo Machado das Neves; Ricardo Pereira Rodrigues; Vinicius Barreto da Silva; Vera Lucia Eifler-Lima; Daniel Fábio Kawano
Journal:  Mol Divers       Date:  2017-05-18       Impact factor: 2.943

7.  Assessing the similarity of ligand binding conformations with the Contact Mode Score.

Authors:  Yun Ding; Ye Fang; Juana Moreno; J Ramanujam; Mark Jarrell; Michal Brylinski
Journal:  Comput Biol Chem       Date:  2016-09-06       Impact factor: 2.877

8.  Conformer generation with OMEGA: algorithm and validation using high quality structures from the Protein Databank and Cambridge Structural Database.

Authors:  Paul C D Hawkins; A Geoffrey Skillman; Gregory L Warren; Benjamin A Ellingson; Matthew T Stahl
Journal:  J Chem Inf Model       Date:  2010-04-26       Impact factor: 4.956

9.  CSAR benchmark exercise 2011-2012: evaluation of results from docking and relative ranking of blinded congeneric series.

Authors:  Kelly L Damm-Ganamet; Richard D Smith; James B Dunbar; Jeanne A Stuckey; Heather A Carlson
Journal:  J Chem Inf Model       Date:  2013-05-10       Impact factor: 4.956

10.  Automated docking screens: a feasibility study.

Authors:  John J Irwin; Brian K Shoichet; Michael M Mysinger; Niu Huang; Francesco Colizzi; Pascal Wassam; Yiqun Cao
Journal:  J Med Chem       Date:  2009-09-24       Impact factor: 7.446

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.