Literature DB >> 20210757

MolDock applied to structure-based virtual screening.

Walter Filgueira De Azevedo1.   

Abstract

Molecular docking is a simulation process where the binding of a small molecule is identified in the structure of a protein target. There are several different computational approaches to solve this problem. Here it will be described recent developments in application of evolutionary algorithms to molecular docking simulations. Evolutionary algorithms are classified as a group of computational techniques based on the concepts of Darwin's theory of evolution that are designed to the best possible find solution to optimisation problems. A successfully implementation of this algorithm can be found in the program MolDock. The main features of MolDock are reviewed here we also describe application of MolDock to purine nucleoside phosphorylase, shikimate kinase and cyclin-dependent kinase 2.

Mesh:

Year:  2010        PMID: 20210757     DOI: 10.2174/138945010790711941

Source DB:  PubMed          Journal:  Curr Drug Targets        ISSN: 1389-4501            Impact factor:   3.465


  19 in total

1.  Identification of new potential Mycobacterium tuberculosis shikimate kinase inhibitors through molecular docking simulations.

Authors:  Carolina Pasa Vianna; Walter F de Azevedo
Journal:  J Mol Model       Date:  2011-05-19       Impact factor: 1.810

2.  Targeting imidazoline site on monoamine oxidase B through molecular docking simulations.

Authors:  Fernanda Pretto Moraes; Walter Filgueira de Azevedo
Journal:  J Mol Model       Date:  2012-03-17       Impact factor: 1.810

3.  Virtual screening of m3 protein antagonists for finding a model to study the gammaherpesvirus damaged immune system and chemokine related diseases.

Authors:  Ibrahim Torktaz; Mohaddeseh Behjati; Sareh Arjmand
Journal:  Bioimpacts       Date:  2013-07-17

Review 4.  Challenges and opportunities for new protein crystallization strategies in structure-based drug design.

Authors:  Jessica Lynn Grey; David H Thompson
Journal:  Expert Opin Drug Discov       Date:  2010-11       Impact factor: 6.098

5.  Homology modeling, molecular docking and DNA binding studies of nucleotide excision repair UvrC protein from M. tuberculosis.

Authors:  Rishikesh S Parulekar; Sagar H Barage; Chidambar B Jalkute; Maruti J Dhanavade; Prayagraj M Fandilolu; Kailas D Sonawane
Journal:  Protein J       Date:  2013-08       Impact factor: 2.371

6.  Comparative modeling and molecular dynamics suggest high carboxylase activity of the Cyanobium sp. CACIAM14 RbcL protein.

Authors:  Andrei Santos Siqueira; Alex Ranieri Jerônimo Lima; Leonardo Teixeira Dall'Agnol; Juliana Simão Nina de Azevedo; João Lídio da Silva Gonçalves Vianez; Evonnildo Costa Gonçalves
Journal:  J Mol Model       Date:  2016-03-02       Impact factor: 1.810

7.  Virtual screening and pharmacophore design for a novel theoretical inhibitor of macrophage stimulating factor as a metastatic agent.

Authors:  Ibrahim Torktaz; Faezeh Mohamadhashem; Abolghasem Esmaeili; Mohaddeseh Behjati; Sara Sharifzadeh
Journal:  Bioimpacts       Date:  2013-09-21

8.  DNA polymerase β as a novel target for chemotherapeutic intervention of colorectal cancer.

Authors:  Aruna S Jaiswal; Sanjeev Banerjee; Ritu Aneja; Fazlul H Sarkar; David A Ostrov; Satya Narayan
Journal:  PLoS One       Date:  2011-02-02       Impact factor: 3.240

9.  Discovery of novel MDR-Mycobacterium tuberculosis inhibitor by new FRIGATE computational screen.

Authors:  Christoph Scheich; Zoltán Szabadka; Beáta Vértessy; Vera Pütter; Vince Grolmusz; Markus Schade
Journal:  PLoS One       Date:  2011-12-02       Impact factor: 3.240

10.  Comparative modeling of CCRL1, a key protein in masked immune diseases and virtual screening for finding inhibitor of this protein.

Authors:  Mohaddeseh Behjati; Ibrahim Torktaz; Mehrdad Mohammadpour; Gholamreza Ahmadian; Andrew J Easton
Journal:  Bioinformation       Date:  2012-04-13
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