Raghava, is an academic editor of PLoS ONE.

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Ĭompeting interests: One of the co-authors, Gajendra. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.ĭata Availability: All relevant data are within the paper and its Supporting Information files.įunding: Authors are thankful to funding agencies Council of Scientific and Industrial Research (project Open Source Drug Discovery and GENESIS BSC0121), Department of Science and Technology (DST INSPIRE) Govt. Received: JAccepted: ApPublished: June 1, 2018Ĭopyright: © 2018 Mathur et al. van Veen, University of Cambridge, UNITED KINGDOM In order to assist researchers in the prediction and designing of half-life of peptides, the models developed have been integrated into PlifePred web server ( ).Ĭitation: Mathur D, Singh S, Mehta A, Agrawal P, Raghava GPS (2018) In silico approaches for predicting the half-life of natural and modified peptides in blood. Thirdly, models were developed on 163 natural peptides using chemical descriptors and attained a maximum correlation of 0.743 using 45 selected PaDEL descriptors. Secondly, models were developed on 163 natural peptides using amino acid composition feature of peptides and achieved a maximum correlation of 0.643. The best model using 43 PaDEL descriptors got a maximum correlation of 0.692 between the predicted and the actual half-life peptides. Firstly, models have been developed on 261 peptides containing natural and modified residues, using different chemical descriptors.

In this study, we used 163 natural and 98 modified peptides whose half-life has been determined experimentally in mammalian blood, for developing in silico models.

This paper describes a web server developed for designing therapeutic peptides with desired half-life in blood.

Server de half life