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

ABSTRACT: 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 principal source of toxicity, is a natural or disease-induced event leading to the death of vital red blood cells. Initial screenings for toxicity have been widely evaluated using erythrocytes as the gold standard. More recently, many online databases filled with peptide sequences and their biological meta-data have paved the way toward hemolysis prediction using user-friendly, fast-access machine learning-driven programs. This review details the growing contributions of in silico approaches developed

SUBMITTER: Robles-Loaiza AA 

PROVIDER: S-EPMC8953747 | biostudies-literature | 2022 Mar

REPOSITORIES: biostudies-literature