Computational prediction of plasma protein binding of cyclic peptides from small molecule experimental data using sparse modeling techniques

Computational prediction of plasma protein binding of cyclic peptides from small molecule experimental data using sparse modeling techniques

Abstract Background Cyclic peptide-based drug discovery is attracting increasing interest owing to its potential to avoid target protein depletion. In drug discovery, it is important to maintain the biostability of a drug within the proper range. Plasma protein binding (PPB) is the most important in...

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Bibliographic Details
Main Authors: Takashi Tajimi, Naoki Wakui, Keisuke Yanagisawa, Yasushi Yoshikawa, Masahito Ohue, Yutaka Akiyama
Format: Article
Language:English
Published: BMC 2018-12-01
Series:BMC Bioinformatics
Subjects:
Sparse modeling
Feature selection
Cyclic peptide
Biostability
Plasma protein binding (PPB)
Online Access:http://link.springer.com/article/10.1186/s12859-018-2529-z

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http://link.springer.com/article/10.1186/s12859-018-2529-z

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