Literature DB >> 25016232

CoMFA and CoMSIA analysis of ACE-inhibitory, antimicrobial and bitter-tasting peptides.

Shufen Wu1, Wei Qi2, Rongxin Su3, Tonghe Li1, Dan Lu1, Zhimin He4.   

Abstract

Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were applied to the ACE-inhibitory, antimicrobial, and bitter-tasting peptides. Predictive 3D-QSAR models were established using SYBYL multifit molecular alignment rule over a training set and a test set. The optimum models were all statistically significant with cross-validated coefficients (Q(2)) >0.5 and conventional coefficients (R(2)) >0.9, indicating that they were reliable enough for activity prediction. The obtained results may aid in the design of novel bioactive peptides.
Copyright © 2014 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  ACE inhibition; Antimicrobial; Bitterness; CoMFA; CoMSIA

Mesh:

Substances:

Year:  2014        PMID: 25016232     DOI: 10.1016/j.ejmech.2014.07.015

Source DB:  PubMed          Journal:  Eur J Med Chem        ISSN: 0223-5234            Impact factor:   6.514


  3 in total

Review 1.  Angiotensin-I-Converting Enzyme (ACE)-Inhibitory Peptides from Plants.

Authors:  Ceren Daskaya-Dikmen; Aysun Yucetepe; Funda Karbancioglu-Guler; Hayrettin Daskaya; Beraat Ozcelik
Journal:  Nutrients       Date:  2017-03-23       Impact factor: 5.717

2.  Matched Peptides: Tuning Matched Molecular Pair Analysis for Biopharmaceutical Applications.

Authors:  Julian E Fuchs; Bernd Wellenzohn; Nils Weskamp; Klaus R Liedl
Journal:  J Chem Inf Model       Date:  2015-11-06       Impact factor: 4.956

3.  In Silico Rational Design and Virtual Screening of Bioactive Peptides Based on QSAR Modeling.

Authors:  Mehri Mahmoodi-Reihani; Fatemeh Abbasitabar; Vahid Zare-Shahabadi
Journal:  ACS Omega       Date:  2020-03-10
  3 in total

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