| Literature DB >> 25016232 |
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.Entities:
Keywords: ACE inhibition; Antimicrobial; Bitterness; CoMFA; CoMSIA
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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