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Peptide toxicity prediction.

DIR@IMTECH: CSIR-Institute of Microbial Technology

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Title Peptide toxicity prediction.
 
Creator Gupta, Sudheer
Kapoor, Pallavi
Chaudhary, Kumardeep
Gautam, Ankur
Kumar, Rahul
Raghava, G.P.S.
 
Subject QR Microbiology
 
Description Last decade has witnessed the revival of interest in peptides as potential therapeutics candidates. However, one of the bottlenecks in the success of therapeutic peptides in clinics is their toxicity towards eukaryotic cells. Therefore, considerable efforts have been made over the years both in wet and dry lab to overcome this limitation. With the advances in peptide synthesis, now it is possible to fine-tune the physicochemical properties of peptides by incorporating several chemical modifications and thus to optimize the peptide functionality in order to minimize the toxicity without compromising their therapeutic activity. Also various in silico tools for peptide toxicity prediction and peptide designing have been developed, which facilitates designing of therapeutic peptides with desired toxicity. In this chapter, we have discussed both wet lab and dry lab approaches used to optimize peptide toxicity. More emphasis has been given to describe the in silico method, ToxinPred, to predict the toxicity of peptide and about how to design a peptide or protein with desired toxicity by mutating minimum number of amino acids.
 
Publisher Springer
 
Date 2015
 
Type Article
PeerReviewed
 
Relation http://link.springer.com/protocol/10.1007%2F978-1-4939-2285-7_7
http://crdd.osdd.net/open/1667/
 
Identifier Gupta, Sudheer and Kapoor, Pallavi and Chaudhary, Kumardeep and Gautam, Ankur and Kumar, Rahul and Raghava, G.P.S. (2015) Peptide toxicity prediction. Methods in molecular biology (Clifton, N.J.), 1268. pp. 143-57. ISSN 1940-6029