Protocol for predicting peptides with anticancer and antimicrobial properties by a tri-fusion neural network-Reference-Cited by-同舟云学术

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Protocol for predicting peptides with anticancer and antimicrobial properties by a tri-fusion neural network

Published:2023-09 Issue:3 Volume:4 Page:102541
ISSN:2666-1667
Container-title:STAR Protocols
language:en
Short-container-title:STAR Protocols

Author:

Han Jiyun,Zhang Shizhuo,Liu Juntao

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Neuroscience

Reference25 articles.

1. TriNet: A tri-fusion neural network for the prediction of anticancer and antimicrobial peptides;Zhou;Patterns,2023

2. AntiCP 2.0: an updated model for predicting anticancer peptides;Agrawal;Brief. Bioinform.,2021

3. AMPlify: attentive deep learning model for discovery of novel antimicrobial peptides effective against WHO priority pathogens;Li;BMC Genom.,2022

4. Protocol for using MULTILAYER to reveal molecular tissue substructures from digitized spatial transcriptomes;Moehlin;STAR Protoc.,2021

5. Antimicrobial Peptides: An Emerging Category of Therapeutic Agents;Mahlapuu;Front. Cell. Infect. Microbiol.,2016

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