AntAngioCOOL: Anti-Angiogenic Peptide Prediction
Version 1.2

Machine learning based package to predict anti-angiogenic peptides using heterogeneous sequence descriptors. 'AntAngioCOOL' exploits five descriptor types of a peptide of interest to do prediction including: pseudo amino acid composition, k-mer composition, k-mer composition (reduced alphabet), physico-chemical profile and atomic profile. According to the obtained results, 'AntAngioCOOL' reached to a satisfactory performance in anti-angiogenic peptide prediction on a benchmark non-redundant independent test dataset.

Getting started

Package details

AuthorBabak Khorsand <[email protected]>
Date of publication2016-08-01 14:01:06
MaintainerJavad Zahiri <[email protected]>
Package repositoryView on CRAN
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AntAngioCOOL documentation built on May 29, 2017, 9 p.m.