ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning.
Journal:
Bioinformatics (Oxford, England)
Published Date:
Mar 4, 2022
Abstract
MOTIVATION: Recently, peptides have emerged as a promising class of pharmaceuticals for various diseases treatment poised between traditional small molecule drugs and therapeutic proteins. However, one of the key bottlenecks preventing them from therapeutic peptides is their toxicity toward human cells, and few available algorithms for predicting toxicity are specially designed for short-length peptides.