Machine Learning Guided Discovery of Non-Hemolytic Membrane Disruptive Anticancer Peptides.

Authors:
Zakharova E; Orsi M; Capecchi A; Reymond JL.

Journal:
ChemMedChem

Publication Year: 2022

DOI:
10.1002/cmdc.202200291

PMCID:
PMC9541320

PMID:
35880810

View on PubMed View on PMC View Publisher
Journal Information

Full Title: ChemMedChem

Abbreviation: ChemMedChem

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Pharmacology

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

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Transparency Score
5/6
83.3% Transparent
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Core Indicators
Evidence found in paper:

"data availability statement the source code and datasets used for this study are available at https://github com/reymond-group/ml-pdga-anticancer-peptides ."

Evidence found in paper:

"data availability statement the source code and datasets used for this study are available at https://github com/reymond-group/ml-pdga-anticancer-peptides ."

Evidence found in paper:

"Conflict of interest The authors declare no conflict of interest."

Evidence found in paper:

"This work was supported financially by the Swiss National Science Foundation, Grant no. 200020_178998 and 407240_167048, and by European Research Council Grant no. 885076. Open access funding provided by Universität Bern."

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Paper is freely available to read
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Last Updated: Aug 05, 2025