CSM-Toxin: A Web-Server for Predicting Protein Toxicity.

ABSTRACT: Biologics are one of the most rapidly expanding classes of therapeutics, but can be associated with a range of toxic properties. In small-molecule drug development, early identification of potential toxicity led to a significant reduction in clinical trial failures, however we currently lack robust qualitative rules or predictive tools for peptide- and protein-based biologics. To address this, we have manually curated the largest set of high-quality experimental data on peptide and protein toxicities, and developed CSM-Toxin, a novel in-silico protein toxicity classifier, which relies solely on the protein primary sequence. Our approach encodes the protein sequence information using a deep learning natural languages model to understand "biological" language, where residues are treated as w

SUBMITTER: Morozov V 

PROVIDER: S-EPMC9966851 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature