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Predicting Therapeutic Template by Evaluating the Structural Stability of Anti-Cancer Peptides—A Computational Approach
Published in Springer Science and Business Media LLC
Volume: 17
Issue: 1
Pages: 31 - 38
Clinically significant antibiotic resistance has evolved against virtually every antibiotic deployed. Yet the development of new classes of antibiotics has lagged far behind our growing need for such drugs. Antimicrobial peptides (AMPs) have emerged as novel therapeutics hailed for their bactericidal and immunomodulatory properties. However, the process of optimizing antimicrobial peptide stability, using large peptide libraries is both tedious and expensive. The intent of this study is to analyze computationally the stability of anti-cancer peptides (ACPs) and to discover a potential template from a pool of ACPs for therapeutic use. Consequently we highlighted that ACP, NK-Lysin appears advantageous over the other ACPs with respect to stability, and may provide a convenient platform for the development of anticancer therapeutic peptide. © 2011 Springer Science+Business Media, LLC.
About the journal
JournalData powered by TypesetInternational Journal of Peptide Research and Therapeutics
PublisherData powered by TypesetSpringer Science and Business Media LLC
Open AccessNo
Authors (5)