Literature DB >> 14755577

Calculation of ligand-nucleic acid binding free energies with the generalized-born model in DOCK.

Xinshan Kang1, Richard H Shafer, Irwin D Kuntz.   

Abstract

The calculation of ligand-nucleic acid binding free energies is investigated by including solvation effects computed with the generalized-Born model. Modifications of the solvation module in DOCK, including introduction of all-atom parameters and revision of coefficients in front of different terms, are shown to improve calculations involving nucleic acids. This computing scheme is capable of calculating binding energies, with reasonable accuracy, for a wide variety of DNA-ligand complexes, RNA-ligand complexes, and even for the formation of double-stranded DNA. This implementation of GB/SA is also shown to be capable of discriminating strong ligands from poor ligands for a series of RNA aptamers without sacrificing the high efficiency of the previous implementation. These results validate this approach to screening large databases against nucleic acid targets. Copyright 2003 Wiley Periodicals, Inc.

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Year:  2004        PMID: 14755577     DOI: 10.1002/bip.10541

Source DB:  PubMed          Journal:  Biopolymers        ISSN: 0006-3525            Impact factor:   2.505


  12 in total

Review 1.  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

2.  In silico identification of novel ligands for G-quadruplex in the c-MYC promoter.

Authors:  Hyun-Jin Kang; Hyun-Ju Park
Journal:  J Comput Aided Mol Des       Date:  2014-12-20       Impact factor: 3.686

3.  Target Flexibility in RNA-Ligand Docking Modeled by Elastic Potential Grids.

Authors:  Dennis M Krüger; Johannes Bergs; Sina Kazemi; Holger Gohlke
Journal:  ACS Med Chem Lett       Date:  2011-04-12       Impact factor: 4.345

Review 4.  On the role of electrostatics in protein-protein interactions.

Authors:  Zhe Zhang; Shawn Witham; Emil Alexov
Journal:  Phys Biol       Date:  2011-05-13       Impact factor: 2.583

Review 5.  Methods to enable the design of bioactive small molecules targeting RNA.

Authors:  Matthew D Disney; Ilyas Yildirim; Jessica L Childs-Disney
Journal:  Org Biomol Chem       Date:  2014-02-21       Impact factor: 3.876

6.  RLDOCK: A New Method for Predicting RNA-Ligand Interactions.

Authors:  Li-Zhen Sun; Yangwei Jiang; Yuanzhe Zhou; Shi-Jie Chen
Journal:  J Chem Theory Comput       Date:  2020-10-23       Impact factor: 6.006

7.  Search for novel aminoglycosides by combining fragment-based virtual screening and 3D-QSAR scoring.

Authors:  Piotr Setny; Joanna Trylska
Journal:  J Chem Inf Model       Date:  2009-02       Impact factor: 4.956

8.  RLDOCK method for predicting RNA-small molecule binding modes.

Authors:  Yangwei Jiang; Shi-Jie Chen
Journal:  Methods       Date:  2021-02-04       Impact factor: 3.608

9.  Novel ligands for a purine riboswitch discovered by RNA-ligand docking.

Authors:  Peter Daldrop; Francis E Reyes; David A Robinson; Colin M Hammond; David M Lilley; Robert T Batey; Ruth Brenk
Journal:  Chem Biol       Date:  2011-03-25

10.  Sanjeevini: a freely accessible web-server for target directed lead molecule discovery.

Authors:  B Jayaram; Tanya Singh; Goutam Mukherjee; Abhinav Mathur; Shashank Shekhar; Vandana Shekhar
Journal:  BMC Bioinformatics       Date:  2012-12-13       Impact factor: 3.169

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