Related Experiment Video
Updated: Jun 8, 2026

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
Published on: December 1, 2020
QSAR study on angiotensin-converting enzyme inhibitor oligopeptides based on a novel set of sequence information
Xiaoyu Wang1, Juan Wang, Yong Lin
1College of Pharmacy and Bioengineering, Chongqing University of Technology, Chongqing 400054, People's Republic of China.
Abstract:
A novel set of descriptors G-scale was derived from 457 physicochemical properties of the natural amino acids. The descriptors were then applied to study on quantitative structure-activity relationships (QSARs) of nine peptide datasets of angiotensin-converting enzyme inhibitor (ACE-inhibitor) oligopeptides (between dipeptides and decapeptides) by using partial least square (PLS) regression. The multiple correlation coefficients (R²) and leave one out cross validation values (Q²) of PLS models are better than or close to the results of references. The results show that the descriptors proposed here may be a useful structural expression method, and they may be hopefully used in biological activity study of ACE-inhibitor oligopeptides.
More Related Videos
Related Concept Videos
Structure-Activity Relationships and Drug Design
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence its...
Antihypertensive Drugs: Angiotensin-Converting Enzyme Inhibitors
Antihypertensive Drugs: Direct Renin Inhibitors
Antihypertensive Drugs: Angiotensin II Receptor Blockers
Signal Sequences and Sorting Receptors

