MSA-Regularized Protein Sequence Transformer toward Predicting Genome-Wide Chemical-Protein Interactions: Application to GPCRome Deorphanization

Small molecules play a vital position in modulating organic techniques. Knowledge of chemical-protein interactions helps handle elementary and sensible questions in biology and medication. However, with the fast emergence of newly sequenced genes, the endogenous or surrogate ligands of an unlimited variety of proteins stay unknown. Homology modeling and machine…

FI-Net: Identification of Cancer Driver Genes by Using Functional Impact Prediction Neural Network

Identification of driver genes, whose mutations trigger the event of tumors, is essential for the advance of most cancers analysis and precision medication. To overcome the issue that the normal frequency-based strategies can’t detect lowly recurrently mutated driver genes, researchers have centered on the practical impression of gene mutations and…