Title :
Peptide QSARs Study by a Novel Structure Representation Strategy
Author :
You, Wei ; Ye, Yumei ; Chen, Yu ; Tian, Hongman ; Yang, Honglu ; Zhong, Yunlu
Author_Institution :
Dept. of Mech. & Electr. Eng., North China Inst. of Sci. & Technol., Beijing, China
Abstract :
The authors proposed a novel structure representation strategy __ ¿Interaction-Distance¿ theory to study the quantitative structure-activity relationships (QSARs) of peptide. The ¿Interaction-Distance¿ theory stated that: I. In a peptide chain, there exists interaction between any two amino acids; II. The value of interaction lies on not only the types the two amino acids, but also the distance between them; III. The structure of the peptide may be represented by TIV (total interaction value) value__ the sum of all of the interaction values in peptide. The merit of the strategy is that the structures of all peptides comprising of different numbers of amino acids may be represented by the TIV score. The strategy is helpful of studying the peptides QSARs conveniently. In the end, QSARs of several peptides were studied by the strategy.
Keywords :
bioinformatics; biological techniques; molecular biophysics; molecular configurations; neural nets; organic compounds; TIV score; amino acid interaction; interaction distance theory; peptide QSAR study; peptide chain; peptide structure; quantitative structure-activity relationship; structure representation strategy; total interaction value; Amino acids; Artificial intelligence; Artificial neural networks; Biological system modeling; Biological systems; Computational intelligence; Drugs; Equations; Peptides; Sequences;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.440