In summary, this study describes a web server ‘HLP’ that has been developed for assisting scientific community for predicting intestinal half-life of peptides and to design mutant peptides with better half-life and physicochemical properties. The web server provides three facilities i) half-life prediction, ii) physicochemical properties calculation and iii) designing mutant peptides. Based on above models, we have developed a web server named HLP ( Half Life Prediction), for predicting and designing peptides with desired half-life. Preliminary analysis suggests the role of charged residue and amino acid size in peptide half-life/stability. Furthermore, models that were developed on selected features, achieved a correlation (R) of 0.70 and 0.98 on HL10 and HL16 dataset, respectively. Secondly, models developed on HL16 dataset showed maximum R/R 2 of 0.91/0.82, 0.90/0.39, and 0.90/0.31 using amino acid, dipeptide and tripeptide composition, respectively.

First, SVM based models were developed on HL10 dataset which achieved maximum correlation R/R 2 of 0.57/0.32, 0.68/0.46, and 0.69/0.47 using amino acid, dipeptide and tripeptide composition, respectively. In this study, we have used 10mer (HL10) and 16mer (HL16) peptides dataset to develop prediction models for peptide half-life in intestine-like environment. We have developed an in silico method to predict the half-life of peptides in intestine-like environment and to design better peptides having optimized physicochemical properties and half-life.

Though peptides are proven good drug candidates, their usage is still hindered mainly because of their high susceptibility towards proteases degradation.

Owing to their excellent specificity, low-toxicity, rich chemical diversity and availability from natural sources, FDA has successfully approved a number of peptide-based drugs and several are in various stages of drug development. In past, a number of peptides have been reported to possess highly diverse properties ranging from cell penetrating, tumor homing, anticancer, anti-hypertensive, antiviral to antimicrobials.

Server de half life