Literature DB >> 23729265

Structure-based virtual screening for novel ligands.

William R Pitt1, Mark D Calmiano, Boris Kroeplien, Richard D Taylor, James P Turner, Michael A King.   

Abstract

Computational searches for novel ligands for a given protein binding site have become ubiquitous in the pharmaceutical industry, and are potentially equally useful in helping identify small-molecule tools for biology. Here we describe the steps needed to carry out a high-throughput docking (HTD) or three-dimensional (3D) pharmacophore virtual screen starting with a model of the target protein's structure. The advice given is, in most cases, software independent but some tips are provided which apply only to certain popular programs. Useful work can be carried out using free programs on a modest workstation. Of course, any resultant "hits" remain in the virtual world until they are experimentally tested.

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Year:  2013        PMID: 23729265     DOI: 10.1007/978-1-62703-398-5_19

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  3 in total

1.  An integrated structure- and pharmacophore-based MMP-12 virtual screening.

Authors:  Mohammad Ramezani; Jamal Shamsara
Journal:  Mol Divers       Date:  2018-02-08       Impact factor: 2.943

Review 2.  Structure-based virtual screening for drug discovery: principles, applications and recent advances.

Authors:  Evanthia Lionta; George Spyrou; Demetrios K Vassilatis; Zoe Cournia
Journal:  Curr Top Med Chem       Date:  2014       Impact factor: 3.295

3.  CrossDocker: a tool for performing cross-docking using Autodock Vina.

Authors:  Jamal Shamsara
Journal:  Springerplus       Date:  2016-03-17
  3 in total

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