Machine Learning Assisted Design of Highly Active Peptides for Drug Discovery

Open Access

Peer-reviewed

Research Article

Sébastien Giguère ,

* E-mail: sebastien.giguere.8@ulaval.ca

Affiliation Department of Computer Science and Software Engineering, Université Laval, Québec, Canada
⨯
François Laviolette,

Affiliation Department of Computer Science and Software Engineering, Université Laval, Québec, Canada
⨯
Mario Marchand,

Affiliation Department of Computer Science and Software Engineering, Université Laval, Québec, Canada
⨯
Denise Tremblay,

Affiliation Department of Biochemistry, Microbiology and Bioinformatics, Université Laval, Québec, Canada
⨯
Sylvain Moineau,

Affiliation Department of Biochemistry, Microbiology and Bioinformatics, Université Laval, Québec, Canada
⨯
Xinxia Liang,

Affiliation Faculty of Pharmacy, Université Laval, Québec, Canada
⨯
Éric Biron,

Affiliation Faculty of Pharmacy, Université Laval, Québec, Canada
⨯
Jacques Corbeil

Affiliation Department of Molecular Medicine, Université Laval, Québec, Canada
⨯

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Machine learning
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Machine learning algorithms
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Drug discovery
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Peptide synthesis
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Kernel methods
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Kernel functions
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Library screening
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Peptide libraries
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