Function Prediction of Peptide Toxins with Sequence-Based Multi-Tasking PU Learning Method

Function Prediction of Peptide Toxins with Sequence-Based Multi-Tasking PU Learning Method

Peptide toxins generally have extreme pharmacological activities and provide a rich source for the discovery of drug leads. However, determining the optimal activity of a new peptide can be a long and expensive process. In this study, peptide toxins were retrieved from Uniprot; three positive-unlabe...

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Bibliographic Details
Main Authors: Yanyan Chu, Huanhuan Zhang, Lei Zhang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Toxins
Subjects:
peptide toxin
active peptide
function prediction
PU learning
sequence-based
Online Access:https://www.mdpi.com/2072-6651/14/11/811

Internet

https://www.mdpi.com/2072-6651/14/11/811

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