Literature DB >> 15971202

Binding MOAD (Mother Of All Databases).

Liegi Hu1, Mark L Benson, Richard D Smith, Michael G Lerner, Heather A Carlson.   

Abstract

Binding MOAD (Mother of All Databases) is the largest collection of high-quality, protein-ligand complexes available from the Protein Data Bank. At this time, Binding MOAD contains 5331 protein-ligand complexes comprised of 1780 unique protein families and 2630 unique ligands. We have searched the crystallography papers for all 5000+ structures and compiled binding data for 1375 (26%) of the protein-ligand complexes. The binding-affinity data ranges 13 orders of magnitude. This is the largest collection of binding data reported to date in the literature. We have also addressed the issue of redundancy in the data. To create a nonredundant dataset, one protein from each of the 1780 protein families was chosen as a representative. Representatives were chosen by tightest binding, best resolution, etc. For the 1780 "best" complexes that comprise the nonredundant version of Binding MOAD, 475 (27%) have binding data. This significant collection of protein-ligand complexes will be very useful in elucidating the biophysical patterns of molecular recognition and enzymatic regulation. The complexes with binding-affinity data will help in the development of improved scoring functions and structure-based drug discovery techniques. The dataset can be accessed at http://www.BindingMOAD.org. (c) 2005 Wiley-Liss, Inc

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Year:  2005        PMID: 15971202     DOI: 10.1002/prot.20512

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  78 in total

1.  PDB ligand conformational energies calculated quantum-mechanically.

Authors:  Markus Sitzmann; Iwona E Weidlich; Igor V Filippov; Chenzhong Liao; Megan L Peach; Wolf-Dietrich Ihlenfeldt; Rajeshri G Karki; Yulia V Borodina; Raul E Cachau; Marc C Nicklaus
Journal:  J Chem Inf Model       Date:  2012-02-21       Impact factor: 4.956

2.  Docking validation resources: protein family and ligand flexibility experiments.

Authors:  Sudipto Mukherjee; Trent E Balius; Robert C Rizzo
Journal:  J Chem Inf Model       Date:  2010-10-29       Impact factor: 4.956

3.  The change of protein intradomain mobility on ligand binding: is it a commonly observed phenomenon?

Authors:  Semen O Yesylevskyy; Valery N Kharkyanen; Alexander P Demchenko
Journal:  Biophys J       Date:  2006-07-28       Impact factor: 4.033

4.  Virtual screening using molecular simulations.

Authors:  Tianyi Yang; Johnny C Wu; Chunli Yan; Yuanfeng Wang; Ray Luo; Michael B Gonzales; Kevin N Dalby; Pengyu Ren
Journal:  Proteins       Date:  2011-04-12

Review 5.  Chemogenomic approaches to rational drug design.

Authors:  D Rognan
Journal:  Br J Pharmacol       Date:  2007-05-29       Impact factor: 8.739

6.  Lessons for fragment library design: analysis of output from multiple screening campaigns.

Authors:  I-Jen Chen; Roderick E Hubbard
Journal:  J Comput Aided Mol Des       Date:  2009-06-03       Impact factor: 3.686

7.  Identifying binding hot spots on protein surfaces by mixed-solvent molecular dynamics: HIV-1 protease as a test case.

Authors:  Peter M U Ung; Phani Ghanakota; Sarah E Graham; Katrina W Lexa; Heather A Carlson
Journal:  Biopolymers       Date:  2016-01       Impact factor: 2.505

8.  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

9.  Neural-Network Scoring Functions Identify Structurally Novel Estrogen-Receptor Ligands.

Authors:  Jacob D Durrant; Kathryn E Carlson; Teresa A Martin; Tavina L Offutt; Christopher G Mayne; John A Katzenellenbogen; Rommie E Amaro
Journal:  J Chem Inf Model       Date:  2015-09-04       Impact factor: 4.956

10.  Differences between high- and low-affinity complexes of enzymes and nonenzymes.

Authors:  Heather A Carlson; Richard D Smith; Nickolay A Khazanov; Paul D Kirchhoff; James B Dunbar; Mark L Benson
Journal:  J Med Chem       Date:  2008-10-01       Impact factor: 7.446

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