Welcome to Antifp

=== If you are using this webserver, please cite, Agrawal et al. (2018) In silico approach for prediction of antifungal peptides. Front. Microbiol., 9:23. ===

Antifp is an in silico method, which is developed to predict and design antifungal peptides. The main dataset used in this method consists of 1459 antifungal peptides.

Major features includes:

1. Predict : This module allows user to predict whether the given sequence or number of sequences is antifungal or not.

2. Designing Peptide: This module allows user to generate all possible single mutant analogs of their peptides and predict whether the analog is antifungal or not.

3. Protein Scanning: This module generates all possible overlapping peptides and their single mutant analogs of protein submitted by the user. It also predicts whether overlapping peptide/analog is antifungal or not.

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