Literature DB >> 15554663

Expanded interaction fingerprint method for analyzing ligand binding modes in docking and structure-based drug design.

Matthew D Kelly1, Ricardo L Mancera.   

Abstract

An expanded interaction fingerprint method has been developed for analyzing the binding modes of ligands in docking and structure-based design methods. Taking the basic premise of representing a ligand in terms of a binary string that denotes its interactions with a target protein, we have expanded the method to include additional interaction-specific information. By considering the hydrogen-bonding strength and/or accessibility of the hydrogen bonding groups within a binding site as well as their geometric arrangement we aim to provide a better representation of a ligand-protein interaction. These expanded methods have been applied to the postprocessing of binding poses generated in a docking study for 220 different proteins and to the analysis of ligands generated by an automated ligand-generation algorithm for the anthrax oedema factor. In the docking study, the application of the interaction fingerprint method as a postprocessing tool resulted in an increased success rate in identifying the crystallographic binding mode. In the analysis of the ligands generated for the anthrax oedema factor, the incorporation of additional interaction-specific information resulted in a more intuitive and comprehensive analysis of automated ligand-generation output.

Entities:  

Year:  2004        PMID: 15554663     DOI: 10.1021/ci049870g

Source DB:  PubMed          Journal:  J Chem Inf Comput Sci        ISSN: 0095-2338


  15 in total

1.  GSA: a GPU-accelerated structure similarity algorithm and its application in progressive virtual screening.

Authors:  Xin Yan; Qiong Gu; Feng Lu; Jiabo Li; Jun Xu
Journal:  Mol Divers       Date:  2012-10-19       Impact factor: 2.943

2.  A pose prediction approach based on ligand 3D shape similarity.

Authors:  Ashutosh Kumar; Kam Y J Zhang
Journal:  J Comput Aided Mol Des       Date:  2016-07-05       Impact factor: 3.686

3.  Docking pose selection by interaction pattern graph similarity: application to the D3R grand challenge 2015.

Authors:  Inna Slynko; Franck Da Silva; Guillaume Bret; Didier Rognan
Journal:  J Comput Aided Mol Des       Date:  2016-08-01       Impact factor: 3.686

4.  Implementation and evaluation of a docking-rescoring method using molecular footprint comparisons.

Authors:  Trent E Balius; Sudipto Mukherjee; Robert C Rizzo
Journal:  J Comput Chem       Date:  2011-05-03       Impact factor: 3.376

5.  Combined docking and machine learning identify key molecular determinants of ligand pharmacological activity on β2 adrenoceptor.

Authors:  Mireia Jiménez-Rosés; Bradley Angus Morgan; Maria Jimenez Sigstad; Thuy Duong Zoe Tran; Rohini Srivastava; Asuman Bunsuz; Leire Borrega-Román; Pattarin Hompluem; Sean A Cullum; Clare R Harwood; Eline J Koers; David A Sykes; Iain B Styles; Dmitry B Veprintsev
Journal:  Pharmacol Res Perspect       Date:  2022-10

6.  Re-docking scheme for generating near-native protein complexes by assembling residue interaction fingerprints.

Authors:  Nobuyuki Uchikoga; Yuri Matsuzaki; Masahito Ohue; Takatsugu Hirokawa; Yutaka Akiyama
Journal:  PLoS One       Date:  2013-07-16       Impact factor: 3.240

7.  The discovery of aurora kinase inhibitor by multi-docking-based virtual screening.

Authors:  Jun-Tae Kim; Seo Hee Jung; Sun Young Kang; Chung-Kyu Ryu; Nam Sook Kang
Journal:  Int J Mol Sci       Date:  2014-11-06       Impact factor: 5.923

8.  From malaria to cancer: Computational drug repositioning of amodiaquine using PLIP interaction patterns.

Authors:  Sebastian Salentin; Melissa F Adasme; Jörg C Heinrich; V Joachim Haupt; Simone Daminelli; Yixin Zhang; Michael Schroeder
Journal:  Sci Rep       Date:  2017-09-12       Impact factor: 4.379

9.  Enhance the performance of current scoring functions with the aid of 3D protein-ligand interaction fingerprints.

Authors:  Jie Liu; Minyi Su; Zhihai Liu; Jie Li; Yan Li; Renxiao Wang
Journal:  BMC Bioinformatics       Date:  2017-07-18       Impact factor: 3.169

10.  A novel interaction fingerprint derived from per atom score contributions: exhaustive evaluation of interaction fingerprint performance in docking based virtual screening.

Authors:  Julia B Jasper; Lina Humbeck; Tobias Brinkjost; Oliver Koch
Journal:  J Cheminform       Date:  2018-03-16       Impact factor: 5.514

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