100 citations · 176 across the 15 of their papers we have counts for
3 papers · 1 filter
T-Cell Receptor Optimization with Reinforcement Learning and Mutation Policies for Precesion Immunotherapy
Ziqi Chen, Martin Renqiang Min, Hongyu Guo +3
T cells monitor the health status of cells by identifying foreign peptides displayed on their surface. T-cell receptors (TCRs), which are protein complexes found on the surface of…
Ranking-based Convolutional Neural Network Models for Peptide-MHC Binding Prediction
Ziqi Chen, Martin Renqiang Min, Xia Ning
T-cell receptors can recognize foreign peptides bound to major histocompatibility complex (MHC) class-I proteins, and thus trigger the adaptive immune response. Therefore, identify…
Network reinforcement driven drug repurposing for COVID-19 by exploiting disease-gene-drug associations
Yonghyun Nam, Jae-Seung Yun, Seung Mi Lee +7
Currently, the number of patients with COVID-19 has significantly increased. Thus, there is an urgent need for developing treatments for COVID-19. Drug repurposing, which is the pr…