ACPP specifications


Unique identifier OMICS_05694
Alternative name Anti-cancer peptide predictor
Software type Application/Script
Interface Command line interface, Web user interface
Restrictions to use None
Input data A protein sequence
Input format FASTA
Operating system Unix/Linux, Mac OS, Windows
Programming languages Perl, PHP
Computer skills Advanced
Stability No
Maintained Yes


No version available


  • person_outline P.T.V. Lakshmi

Publication for Anti-cancer peptide predictor


ACPP: A Web Server for Prediction and Design of Anti-cancer Peptides.

DOI: 10.1007/s10989-014-9435-7

ACPP citation


Prediction of anticancer peptides against MCF 7 breast cancer cells from the peptidomes of Achatina fulica mucus fractions

Comput Struct Biotechnol J
PMCID: 4706611
PMID: 26862373
DOI: 10.1016/j.csbj.2015.11.005

[…] anticancer peptides from the mass spectrometric-detected peptides using our designed workflow in . Forty-three putative anticancer peptides were firstly predicted from the F2 and F5 fractions by both ACPP and AntiCP () with the positive prediction scores.Of these 43 peptides, 23 (5.4%) peptides were from the F2 fraction and 20 (4.9%) peptides were from the F5 fractions. The majority of the putativ […]

ACPP institution(s)
Centre for Bioinformatics, School of Life Sciences, Pondicherry University, Pondicherry, India
ACPP funding source(s)
This project was supported by the DBT-BINC.

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