Journal article

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

V Morozov, CHM Rodrigues, DB Ascher

Pharmaceutics | MDPI | Published : 2023

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 l..

View full abstract

University of Melbourne Researchers

Grants

Awarded by National Health and Medical Research Council


Funding Acknowledgements

V.M. was supported by a University of Queensland Research Training Tuition Fee Offset and University of Queensland Research Training Stipend. This work was supported in part by The National Health and Medical Research Council of Australia (GNT1174405 to D.B.A.), and The Victorian Government's Operational Infrastructure Support Program.