Predict peptide half-life and antibacterial activity in batch mode.
Simultaneously, a number of peptides can be submitted to predict their half-life and antibacterial activity.

***** Cite: Sharma A., Singla D., Rashid M. and Raghava G.P.S (2014) Designing of peptides with desired half-life in intestine-like environment. BMC Bioinformatics 2014, 15:282 ***** Home Page of HLP HLP is a server developed for predicting half-life of peptides in intestine like environment. It generates all possible mutants (single mutation at each position per cycle) for a peptide and predict/calculate half-life and physicochemical properties (e.g. charge, polarity, hydrophobicity, volume, pK) of mutant peptides. Please Note: Models used in this server for predicting half-lives of peptides were trained on peptides whose half-life is experimentally determined in crude intestinal proteases preparation, as described by Gorris et al., 2009.

Modules: Following are three major modules/features of this server Designing of stable peptides (long half-life): This module allows user to submit single peptide, it generates all possible mutants (single mutation in peptide at each position) of this peptide and predict/compute half-life and physicochemical properties of each mutant. User can sort mutants on any parameter in order to select best mutant with optimal properties. User can resubmit best mutant peptide for generating all possible mutants of this mutant peptide in order to select best mutant peptide. Scanning of peptides in a protein: This module allows users to submit a protein to server and to select size of peptide to be scanned in a protein. In first step, this module generates all possible overlapping peptides (depending upon selected peptide length) in protein. In next step, it predict/compute half-life and physicochemical properties of each overlapping peptide. User can sort these overlapping peptides on any parameter in order to select best peptide/segment in protein with desired properties. User can resubmit best overlapping peptide for generating all possible mutants of this peptide in order to select best mutant peptide. Submission of multiple peptides: User can submit more than one peptide at a time to server (large number of peptides in FASTA format). This module will predict/compute half-life and physicochemical properties of each submitted peptide. User can sort these peptides on any parameter in order to select best peptide with desired properties. User can resubmit best peptide for generating all possible mutants of this peptide in order to select best mutant peptide. This module allows user to present result in interactive and non-interactive mode.

Importance: One of the major problems in designing peptide based drug is their short half-life or stability in intestinal proteases. Peptides are highly susceptible to degradation by proteolytic enzymes and rapidly clears of the body before performing/showing desired effect. Presently no method available for designing peptide of desired half-life or stability. First time attempt has been made to develop model for predicting half-life of peptides in intestine like environment.