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Efficient discovery of anticancer peptides via cost-aware ranking learning

Authors: Yue, Jianda;

Efficient discovery of anticancer peptides via cost-aware ranking learning

Abstract

This file is the application (APP) corresponding to the anticancer peptide activity ranking model in the study titled "Efficient discovery of anticancer peptides via cost-aware ranking learning." It aims to more conveniently assist researchers in drug discovery and related fields (with the hope that it might be of some use). How to use: After extracting the zip file, double-click "ACPRank.bat" or double-click the shortcut named "ACPRank", and then wait for the offline page to pop up (this may take a few minutes). Author Affiliation:The National and Local Joint Engineering Laboratory of Animal Peptide Drug Development, College of Life Sciences, Hunan Normal University, Changsha 410081, China

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