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Computer-aided designing of immunosuppressive peptides based on IL-10 inducing potential

DIR@IMTECH: CSIR-Institute of Microbial Technology

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Title Computer-aided designing of immunosuppressive peptides based on IL-10 inducing potential
 
Creator Nagpal, Gandharva
Usmani, Salman Sadullah
Dhanda, Sandeep Kumar
Kaur, Harpreet
Singh, Sandeep
Sharma, Meenu
Raghava, G.P.S.
 
Subject QR Microbiology
 
Description In the past, numerous methods have been developed to predict MHC class II binders or T-helper epitopes for designing the epitope-based vaccines against pathogens. In contrast, limited attempts have been made to develop methods for predicting T-helper epitopes/peptides that can induce a specific type of cytokine. This paper describes a method, developed for predicting interleukin-10 (IL-10) inducing peptides, a cytokine responsible for suppressing the immune system. All models were trained and tested on experimentally validated 394 IL-10 inducing and 848 non-inducing peptides. It was observed that certain types of residues and motifs are more frequent in IL-10 inducing peptides than in non-inducing peptides. Based on this analysis, we developed composition-based models using various machine-learning techniques. Random Forest-based model achieved the maximum Matthews's Correlation Coefficient (MCC) value of 0.59 with an accuracy of 81.24% developed using dipeptide composition. In order to facilitate the community, we developed a web server "IL-10pred", standalone packages and a mobile app for designing IL-10 inducing peptides (http://crdd.osdd.net/raghava/IL-10pred/).
 
Publisher Nature Publishing Group
 
Date 2017
 
Type Article
PeerReviewed
 
Relation http://dx.doi.org/10.1038/srep42851
http://crdd.osdd.net/open/1981/
 
Identifier Nagpal, Gandharva and Usmani, Salman Sadullah and Dhanda, Sandeep Kumar and Kaur, Harpreet and Singh, Sandeep and Sharma, Meenu and Raghava, G.P.S. (2017) Computer-aided designing of immunosuppressive peptides based on IL-10 inducing potential. Scientific Reports, 7. p. 42851. ISSN 2045-2322