Literature DB >> 15177081

A practical approach to docking of zinc metalloproteinase inhibitors.

Xin Hu1, Stefan Balaz, William H Shelver.   

Abstract

Forty zinc-dependent metalloproteinase/ligand complexes with known crystal structures were re-docked using five docking/scoring approaches (DOCK, FlexX, DrugScore, GOLD, and AutoDock). Correct geometry of the coordination bonds between the ligand's zinc binding group (ZBG) and the catalytic zinc is important for docking accuracy and scoring reliability. More than 75% of docked poses with RMSD less than 2A were found to have appropriate ZBG binding, but for poor ZBG binding, about 95% of poses failed to dock correctly. Elimination of poses with inappropriate zinc binding resulted in better binding energy predictions that were further improved by dividing the ligands into subsets according to the ZBG (carboxylates, hydroxamates, and phosphorus containing groups). After a subset re-scoring using the regression functions obtained for individual subsets, DrugScore was able to explain 77% and the consensus scoring scheme X-CSCORE even 88% of variance in binding energies. The approach combining ZBG-based pose selection and subset re-scoring improved the hit rate in virtual screening for metalloproteinase inhibitors for all tested methods by 4-16%.

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Year:  2004        PMID: 15177081     DOI: 10.1016/j.jmgm.2003.11.002

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  21 in total

1.  A combination of docking, QM/MM methods, and MD simulation for binding affinity estimation of metalloprotein ligands.

Authors:  Akash Khandelwal; Viera Lukacova; Dogan Comez; Daniel M Kroll; Soumyendu Raha; Stefan Balaz
Journal:  J Med Chem       Date:  2005-08-25       Impact factor: 7.446

2.  Processing multimode binding situations in simulation-based prediction of ligand-macromolecule affinities.

Authors:  Akash Khandelwal; Viera Lukacova; Daniel M Kroll; Soumyendu Raha; Dogan Comez; Stefan Balaz
Journal:  J Phys Chem A       Date:  2005-07-28       Impact factor: 2.781

Review 3.  Towards the development of universal, fast and highly accurate docking/scoring methods: a long way to go.

Authors:  N Moitessier; P Englebienne; D Lee; J Lawandi; C R Corbeil
Journal:  Br J Pharmacol       Date:  2007-11-26       Impact factor: 8.739

4.  Statistical potential for modeling and ranking of protein-ligand interactions.

Authors:  Hao Fan; Dina Schneidman-Duhovny; John J Irwin; Guangqiang Dong; Brian K Shoichet; Andrej Sali
Journal:  J Chem Inf Model       Date:  2011-11-21       Impact factor: 4.956

5.  Comparative evaluation of several docking tools for docking small molecule ligands to DC-SIGN.

Authors:  Gregor Jug; Marko Anderluh; Tihomir Tomašič
Journal:  J Mol Model       Date:  2015-06-04       Impact factor: 1.810

Review 6.  Software for molecular docking: a review.

Authors:  Nataraj S Pagadala; Khajamohiddin Syed; Jack Tuszynski
Journal:  Biophys Rev       Date:  2017-01-16

7.  EDGA: A Population Evolution Direction-Guided Genetic Algorithm for Protein-Ligand Docking.

Authors:  Boxin Guan; Changsheng Zhang; Jiaxu Ning
Journal:  J Comput Biol       Date:  2016-02-19       Impact factor: 1.479

8.  Structure-activity studies with high-affinity inhibitors of pyroglutamyl-peptidase II.

Authors:  Julie A Kelly; Gaia A Scalabrino; Gillian R Slator; Aoife A Cullen; John F Gilmer; David G Lloyd; Geoffrey W Bennett; Karl Bauer; Keith F Tipton; Carvell H Williams
Journal:  Biochem J       Date:  2005-07-15       Impact factor: 3.857

9.  Assessing protein-ligand interaction scoring functions with the CASF-2013 benchmark.

Authors:  Yan Li; Minyi Su; Zhihai Liu; Jie Li; Jie Liu; Li Han; Renxiao Wang
Journal:  Nat Protoc       Date:  2018-03-08       Impact factor: 13.491

10.  Investigation of the binding mode of (-)-meptazinol and bis-meptazinol derivatives on acetylcholinesterase using a molecular docking method.

Authors:  Qiong Xie; Yun Tang; Wei Li; Xing-Hai Wang; Zhui-Bai Qiu
Journal:  J Mol Model       Date:  2006-01-11       Impact factor: 1.810

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