Literature DB >> 22269140

Receptor-dependent 4D-QSAR analysis of peptidemimetic inhibitors of Trypanosoma cruzi trypanothione reductase with receptor-based alignment.

Samuel Silva da Rocha Pita1, Magaly Girão Albuquerque, Carlos Rangel Rodrigues, Helena Carla Castro, Anton J Hopfinger.   

Abstract

Receptor-dependent four-dimensional quantitative structure-activity relationship (RD-4D-QSAR) studies were applied on a series of 21 peptides reversible inhibitors of Trypanosoma cruzi trypanothione reductase (TR) (Amino Acids, 20, 2001, 145). The RD-4D-QSAR (J Chem Inform Comp Sci, 43, 2003, 1591) approach can evaluate multiple conformations from molecular dynamics simulation and several superposition structure alignments inside a box composed by unitary cubic cells. The descriptors are the occupancy frequency of the atoms types inside the grid cells. We could develop 3D-QSAR models that were highly predictive (q(2) above 0.71). The 3D-QSAR models can be visualized as a spatial map of atom types that are important on the comprehension of the ligand-enzyme interaction mechanism, pointing main pharmacophoric groups and TR subsites described in the literature. We were able also to identify some TR subsites for further development in the drug discovery process against tropical diseases not yet studied.
© 2012 John Wiley & Sons A/S.

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Year:  2012        PMID: 22269140     DOI: 10.1111/j.1747-0285.2012.01338.x

Source DB:  PubMed          Journal:  Chem Biol Drug Des        ISSN: 1747-0277            Impact factor:   2.817


  4 in total

1.  Structural insights of dipeptidyl peptidase-IV inhibitors through molecular dynamics-guided receptor-dependent 4D-QSAR studies.

Authors:  Rajesh B Patil; Euzebio G Barbosa; Jaiprakash N Sangshetti; Vishal P Zambre; Sanjay D Sawant
Journal:  Mol Divers       Date:  2018-03-13       Impact factor: 2.943

2.  Identification of potential trypanothione reductase inhibitors among commercially available β-carboline derivatives using chemical space, lead-like and drug-like filters, pharmacophore models and molecular docking.

Authors:  Jorge Rodríguez-Becerra; Lizethly Cáceres-Jensen; José Hernández-Ramos; Lorena Barrientos
Journal:  Mol Divers       Date:  2017-06-27       Impact factor: 2.943

3.  A receptor dependent-4D QSAR approach to predict the activity of mutated enzymes.

Authors:  R Pravin Kumar; Naveen Kulkarni
Journal:  Sci Rep       Date:  2017-07-24       Impact factor: 4.379

Review 4.  Two Decades of 4D-QSAR: A Dying Art or Staging a Comeback?

Authors:  Andrzej Bak
Journal:  Int J Mol Sci       Date:  2021-05-14       Impact factor: 5.923

  4 in total

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