Literature DB >> 15163179

The PDBbind database: collection of binding affinities for protein-ligand complexes with known three-dimensional structures.

Renxiao Wang1, Xueliang Fang, Yipin Lu, Shaomeng Wang.   

Abstract

We have screened the entire Protein Data Bank (Release No. 103, January 2003) and identified 5671 protein-ligand complexes out of 19 621 experimental structures. A systematic examination of the primary references of these entries has led to a collection of binding affinity data (K(d), K(i), and IC(50)) for a total of 1359 complexes. The outcomes of this project have been organized into a Web-accessible database named the PDBbind database.

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Year:  2004        PMID: 15163179     DOI: 10.1021/jm030580l

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  207 in total

1.  Robust scoring functions for protein-ligand interactions with quantum chemical charge models.

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2.  Improving molecular docking through eHiTS' tunable scoring function.

Authors:  Orr Ravitz; Zsolt Zsoldos; Aniko Simon
Journal:  J Comput Aided Mol Des       Date:  2011-11-11       Impact factor: 3.686

3.  Computational fragment-based screening using RosettaLigand: the SAMPL3 challenge.

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2012-01-15       Impact factor: 3.686

4.  Rapid prediction of solvation free energy. 3. Application to the SAMPL2 challenge.

Authors:  Enrico O Purisima; Christopher R Corbeil; Traian Sulea
Journal:  J Comput Aided Mol Des       Date:  2010-04-06       Impact factor: 3.686

5.  A structure-based benchmark for protein-protein binding affinity.

Authors:  Panagiotis L Kastritis; Iain H Moal; Howook Hwang; Zhiping Weng; Paul A Bates; Alexandre M J J Bonvin; Joël Janin
Journal:  Protein Sci       Date:  2011-02-16       Impact factor: 6.725

6.  Scoring and lessons learned with the CSAR benchmark using an improved iterative knowledge-based scoring function.

Authors:  Sheng-You Huang; Xiaoqin Zou
Journal:  J Chem Inf Model       Date:  2011-08-31       Impact factor: 4.956

Review 7.  Fine-tuning multiprotein complexes using small molecules.

Authors:  Andrea D Thompson; Amanda Dugan; Jason E Gestwicki; Anna K Mapp
Journal:  ACS Chem Biol       Date:  2012-07-23       Impact factor: 5.100

8.  Incorporating specificity into optimization: evaluation of SPA using CSAR 2014 and CASF 2013 benchmarks.

Authors:  Zhiqiang Yan; Jin Wang
Journal:  J Comput Aided Mol Des       Date:  2016-02-15       Impact factor: 3.686

9.  Benchmarking methods and data sets for ligand enrichment assessment in virtual screening.

Authors:  Jie Xia; Ermias Lemma Tilahun; Terry-Elinor Reid; Liangren Zhang; Xiang Simon Wang
Journal:  Methods       Date:  2014-12-03       Impact factor: 3.608

10.  Optimal strategies for virtual screening of induced-fit and flexible target in the 2015 D3R Grand Challenge.

Authors:  Zhaofeng Ye; Matthew P Baumgartner; Bentley M Wingert; Carlos J Camacho
Journal:  J Comput Aided Mol Des       Date:  2016-08-29       Impact factor: 3.686

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