An innovative peptide toxicity prediction model based on multi-scale convolutional neural network and residual connection

The complete datasets, source code, and pre-trained models are made available at https://github.com/Renjingyi123/ToxMSRC and https://doi.org/10.5281/zenodo.15668530.

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Publication Details

Journal
Bioinformatics
Published
2025-08-22
DOI
https://doi.org/10.1093/bioinformatics/btaf462
Citations
3
Primary Topic
Machine Learning in Bioinformatics
Type
article
Field-Weighted Citation Impact
2.42

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article

An innovative peptide toxicity prediction model based on multi-scale convolutional neural network and residual connection

Yunyun Liang, Jingyi Ren, Shengli Zhang
3 citations
Bioinformatics
Machine Learning in Bioinformatics
2.42
article

An innovative peptide toxicity prediction model based on multi-scale convolutional neural network and residual connection

Yunyun Liang, Jingyi Ren, Shengli Zhang
article en
3 citations

Abstract

The complete datasets, source code, and pre-trained models are made available at https://github.com/Renjingyi123/ToxMSRC and https://doi.org/10.5281/zenodo.15668530.

BioinformaticsVol. 41(10)
Xidian University (CN), Xi'an Polytechnic University (CN)
National Natural Science Foundation of China, Xidian University
Good health and well-being
Openalex Percentile: Top 10%
Machine Learning in Bioinformatics
2.42
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