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AcPEP is a server of sequence-based machine learning methods for anticancer peptide
(ACP) prediction. This server accepts peptide amino acid sequences in FASTA format.
Firstly, it predicts if the sequences are ACPs, and then it predicts their biological
activities against 6 different cancer types: breast, cervix, colon, lung, prostate, and
skin.
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Input sequences in FASTA format (10 to 38 residues, only 20 naturally occuring
amino acids)
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Prediction for types of cancer
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Funding:
This project is supported by University of Macau (grant No. MYRG2019-00098-FST and MYRG2017-00146-FST)
This project is supported by University of Macau (grant No. MYRG2019-00098-FST and MYRG2017-00146-FST)