Literature DB >> 29121561

FLIP: An assisting software in structure based drug design using fingerprint of protein-ligand interaction profiles.

Ali Hajiebrahimi1, Younes Ghasemi1, Amirhossein Sakhteman2.   

Abstract

With the growing number of labor-intensive data in the pharmaceutical industries and public domain for protein-ligand complexes, a significant challenge is still remaining in managing and leveraging this vast information. Here, a standalone application is presented for analysis, organization, and illustration of structural data and molecular interactions for exploiting 3D-structures into simple 1D fingerprints. The utility of the approach was shown in unraveling a feasible solution for post-processing of docking results in parallel with providing fruitful analysis for users in order to investigate molecular interactions. Remarkably, all interaction possibilities including (hydrogen bond, water-bridged, electrostatic, and hydrophobic as well as π- π and cation-π interactions) are supported both in the form of fingerprints and compelling reports. These investigations are mainly considered based on right orientation, location, and geometry of the interacting pairs rather than the acquisition of the energy terms. The reasonable efficiency of our application in different models was comparable to recent methods It is clearly presented that FLIP provides a faster way to generate usable fingerprints for ligand and protein binding modes. FLIP is free for academic use and is available at: http://zistrayan.com/development/download/flip/package.zip.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Drug discovery; Interaction fingerprints; Molecular interactions; Scoring function; Structure-based drug design

Mesh:

Substances:

Year:  2017        PMID: 29121561     DOI: 10.1016/j.jmgm.2017.10.021

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  2 in total

1.  Comparative molecular docking and molecular-dynamic simulation of wild-type- and mutant carboxylesterase with BTA-hydrolase for enhanced binding to plastic.

Authors:  Fatana Lameh; Abdul Qadeer Baseer; Abubakar Garba Ashiru
Journal:  Eng Life Sci       Date:  2021-11-15       Impact factor: 2.678

2.  Current trends for customized biomedical software tools.

Authors:  Haseeb Ahmad Khan
Journal:  Bioinformation       Date:  2017-12-31
  2 in total

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