Barley_2018_J.Chem.Inf.Model_58_234

Reference

Title : Improved Descriptors for the Quantitative Structure-Activity RelationshipQSAR Modeling of Peptides and Proteins - Barley_2018_J.Chem.Inf.Model_58_234
Author(s) : Barley MH , Turner NJ , Goodacre R
Ref : J Chem Inf Model , 58 :234 , 2018
Abstract :

The ability to model the activity of a protein using quantitative structure-activity relationships (QSAR) requires descriptors for the 20 naturally coded amino acids. In this work we show that by modifying some established descriptors we were able to model the activity data of 140 mutants of the enzyme epoxide hydrolase with improved accuracy. These new descriptors (referred to as physical descriptors) also gave very good results when tested against a series of four dipeptide data sets. The physical descriptors encode the amino acids using only two orthogonal scales: the first is strongly linked to hydrophilicity/hydrophobicity, and the second, to the volume of the amino acid residue. The use of these new amino acid descriptors should result in simpler and more readily interpretable models for the enzyme activity (and potentially other functions of interest, e.g., secondary and tertiary structure) of peptides and proteins.

PubMedSearch : Barley_2018_J.Chem.Inf.Model_58_234
PubMedID: 29338232

Related information

Citations formats

Barley MH, Turner NJ, Goodacre R (2018)
Improved Descriptors for the Quantitative Structure-Activity RelationshipQSAR Modeling of Peptides and Proteins
J Chem Inf Model 58 :234

Barley MH, Turner NJ, Goodacre R (2018)
J Chem Inf Model 58 :234