Introduction

SkinPP is an in silico method, which is developed to predict and design efficient skin penetrating peptides (SPPs) as therapeutic agents and as agents of drug delivery

Major Features include:

(1) Desing Peptide: This module allows user to generate all possible single mutant analogues of their peptides and predict whether the analogue is skin penetrating or not.
(2) Multiple Peptides: This module of SkinPP allows the user to predict SPPs from the list of peptides submitted by the user in bulk.
(3) Protein Scanning: This module generates all possible overlapping peptides and their single mutant analogues of protein submitted by the user. It also predicts whether overlapping peptide/analogue is SPP or not.
(4) Motif Scan: Allows users to identify SPP motif in their protein sequences.

One of the major features of server is that it also calculates various physicochemical properties. Peptide analogues can be displayed in sorting order based upon desired properties.