Literature DB >> 7823319

Molecular recognition of receptor sites using a genetic algorithm with a description of desolvation.

G Jones1, P Willett, R C Glen.   

Abstract

Understanding the principles whereby macromolecular biological receptors can recognise small molecule substrates or inhibitors is the subject of a major effort. This is of paramount importance in rational drug design where the receptor structure is known (the "docking" problem). Current theoretical approaches utilise models of the steric and electrostatic interaction of bound ligands and recently conformational flexibility has been incorporated. We report results based on software using a genetic algorithm that uses an evolutionary strategy in exploring the full conformational flexibility of the ligand with partial flexibility of the protein, and which satisfies the fundamental requirement that the ligand must displace loosely bound water on binding. Results are reported on five test systems showing excellent agreement with experimental data. The design of the algorithm offers insight into the molecular recognition mechanism.

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Year:  1995        PMID: 7823319     DOI: 10.1016/s0022-2836(95)80037-9

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  338 in total

1.  The sensitivity of the results of molecular docking to induced fit effects: application to thrombin, thermolysin and neuraminidase.

Authors:  C W Murray; C A Baxter; A D Frenkel
Journal:  J Comput Aided Mol Des       Date:  1999-11       Impact factor: 3.686

2.  Ligand-receptor docking with the Mining Minima optimizer.

Authors:  L David; R Luo; M K Gilson
Journal:  J Comput Aided Mol Des       Date:  2001-02       Impact factor: 3.686

3.  A virtual high throughput screen for high affinity cytochrome P450cam substrates. Implications for in silico prediction of drug metabolism.

Authors:  G M Keseru
Journal:  J Comput Aided Mol Des       Date:  2001-07       Impact factor: 3.686

4.  A comparative docking study and the design of potentially selective MMP inhibitors.

Authors:  S Hanessian; N Moitessier; E Therrien
Journal:  J Comput Aided Mol Des       Date:  2001-10       Impact factor: 3.686

5.  Crystal structure of the mobile metallo-β-lactamase AIM-1 from Pseudomonas aeruginosa: insights into antibiotic binding and the role of Gln157.

Authors:  Hanna-Kirsti S Leiros; Pardha S Borra; Bjørn Olav Brandsdal; Kine Susann Waade Edvardsen; James Spencer; Timothy R Walsh; Orjan Samuelsen
Journal:  Antimicrob Agents Chemother       Date:  2012-06-04       Impact factor: 5.191

6.  Structure/activity relationship of thapsigargin inhibition on the purified Golgi/secretory pathway Ca2+/Mn2+-transport ATPase (SPCA1a).

Authors:  Jialin Chen; Joren De Raeymaecker; Jannik Brøndsted Hovgaard; Susanne Smaardijk; Ilse Vandecaetsbeek; Frank Wuytack; Jesper Vuust Møller; Jan Eggermont; Marc De Maeyer; Søren Brøgger Christensen; Peter Vangheluwe
Journal:  J Biol Chem       Date:  2017-03-06       Impact factor: 5.157

7.  Modified AutoDock for accurate docking of protein kinase inhibitors.

Authors:  Oleksandr V Buzko; Anthony C Bishop; Kevan M Shokat
Journal:  J Comput Aided Mol Des       Date:  2002-02       Impact factor: 3.686

8.  Computational studies of new potential antimalarial compounds--stereoelectronic complementarity with the receptor.

Authors:  César Portela; Carlos M M Afonso; Madalena M M Pinto; Maria João Ramos
Journal:  J Comput Aided Mol Des       Date:  2003-09       Impact factor: 3.686

9.  Design, Synthesis, and Biological Evaluation of the Third Generation 17-Cyclopropylmethyl-3,14β-dihydroxy-4,5α-epoxy-6β-[(4'-pyridyl)carboxamido]morphinan (NAP) Derivatives as μ/κ Opioid Receptor Dual Selective Ligands.

Authors:  Yi Zheng; Samuel Obeng; Huiqun Wang; Abdulmajeed M Jali; Bharath Peddibhotla; Dwight A Williams; Chuanchun Zou; David L Stevens; William L Dewey; Hamid I Akbarali; Dana E Selley; Yan Zhang
Journal:  J Med Chem       Date:  2019-01-11       Impact factor: 7.446

Review 10.  A review of mathematical representations of biomolecular data.

Authors:  Duc Duy Nguyen; Zixuan Cang; Guo-Wei Wei
Journal:  Phys Chem Chem Phys       Date:  2020-02-26       Impact factor: 3.676

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