AntAngioCOOL
Anti-Angiogenic Peptide Prediction
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.2 |
rolling linux/jammy R-4.5 | AntAngioCOOL_1.2.tar.gz |
28.6 MiB |
1.2 |
rolling linux/noble R-4.5 | AntAngioCOOL_1.2.tar.gz |
28.6 MiB |
1.2 |
rolling source/ R- | AntAngioCOOL_1.2.tar.gz |
726.7 KiB |
1.2 |
latest linux/jammy R-4.5 | AntAngioCOOL_1.2.tar.gz |
28.6 MiB |
1.2 |
latest linux/noble R-4.5 | AntAngioCOOL_1.2.tar.gz |
28.6 MiB |
1.2 |
latest source/ R- | AntAngioCOOL_1.2.tar.gz |
726.7 KiB |
1.2 |
2026-04-26 source/ R- | AntAngioCOOL_1.2.tar.gz |
726.7 KiB |
1.2 |
2026-04-23 source/ R- | AntAngioCOOL_1.2.tar.gz |
726.7 KiB |
1.2 |
2026-04-09 windows/windows R-4.5 | AntAngioCOOL_1.2.zip |
28.6 MiB |
1.2 |
2025-04-20 source/ R- | AntAngioCOOL_1.2.tar.gz |
726.7 KiB |