Konstantin Volzhenin

BenchMHC reproduces and evaluates pMHC presentation models using public data, showing improvements in prediction accuracy and speed.

SENSE-PPI uses deep learning to predict protein-protein interactions across species and between proteins, showing high accuracy and versatility.

This paper introduces a three-level computational model of cognitive ability development in an artificial neural network and identifies key factors like epigenesis, dopamine, and interneurons that influence its performance.