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Efficient discovery of anticancer peptides via cost-aware ranking learning

2026-01-28

Abstract excerpt

<title>Abstract</title> <p> While anticancer peptides (ACPs) have emerged as a promising class of next-generation therapeutics, efficiently identifying potent candidates across the vast peptide sequence space remains a pressing challenge. Here, we present ACPRank, a computational framework based on cost-aware ranking learning tailored for discovering potent ACPs. By integrating a unified activity scoring system...

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Identifiers and source

Literature Corpus work
a4417b10-e602-58c3-a30f-0e8a93c9e763
DOI
10.21203/rs.3.rs-8539436/v1
Open publication

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Efficient discovery of anticancer peptides via cost-aware ranking learningDOI 10.21203/rs.3.rs-8539436/v1
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