Traditional and Computational Screening of Non-Toxic Peptides and Approaches to Improving Selectivity

Traditional and Computational Screening of Non-Toxic Peptides and Approaches to Improving Selectivity

Peptides have positively impacted the pharmaceutical industry as drugs, biomarkers, or diagnostic tools of high therapeutic value. However, only a handful have progressed to the market. Toxicity is one of the main obstacles to translating peptides into clinics. Hemolysis or hemotoxicity, the princip...

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Bibliographic Details
Main Authors: Alberto A. Robles-Loaiza, Edgar A. Pinos-Tamayo, Bruno Mendes, Josselyn A. Ortega-Pila, Carolina Proaño-Bolaños, Fabien Plisson, Cátia Teixeira, Paula Gomes, José R. Almeida
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Pharmaceuticals
Subjects:
in silico
machine learning
peptides
hemolysis
toxicity
Online Access:https://www.mdpi.com/1424-8247/15/3/323

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https://www.mdpi.com/1424-8247/15/3/323

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