Machine Learning Guided Discovery of Non‐Hemolytic Membrane Disruptive Anticancer Peptides-Reference-Cited by-同舟云学术

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Machine Learning Guided Discovery of Non‐Hemolytic Membrane Disruptive Anticancer Peptides

Published:2022-08-05 Issue:17 Volume:17 Page:
ISSN:1860-7179
Container-title:ChemMedChem
language:en
Short-container-title:ChemMedChem

Author:

Zakharova Elena¹,Orsi Markus¹,Capecchi Alice¹,Reymond Jean‐Louis¹^ORCID

Affiliation:

1. Department of Chemistry Biochemistry and Pharmaceutical Sciences University of Bern Freiestrasse 3 3012 Bern Switzerland

Funder

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung

European Research Council

Publisher

Wiley

Subject

Organic Chemistry,General Pharmacology, Toxicology and Pharmaceutics,Molecular Medicine,Drug Discovery,Biochemistry,Pharmacology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cmdc.202200291

Reference62 articles.

1. Machine learning in chemoinformatics and drug discovery

2. The rise of deep learning in drug discovery

3. Automating drug discovery

4. Membrane-disruptive peptides/peptidomimetics-based therapeutics: Promising systems to combat bacteria and cancer in the drug-resistant era

5. Membranolytic anticancer peptides

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1. Exploration of Rhenium Bisquinoline Tricarbonyl Complexes for their Antibacterial Properties;ChemBioChem;2024-07-16

2. Leveraging machine learning to streamline the development of liposomal drug delivery systems;2024-07-04

3. Structure-aware machine learning strategies for antimicrobial peptide discovery;Scientific Reports;2024-05-25

4. Integrating Traditional Machine Learning and Deep Learning for Precision Screening of Anticancer Peptides: A Novel Approach for Efficient Drug Discovery;ACS Omega;2024-04-01

5. The amphipathic design in helical antimicrobial peptides;ChemMedChem;2024-02-26

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