Apr 25, 2022 · These results establish a GCN-based virtual screen workflow for rapid identification of new small molecule inhibitors against validated drug ...
Apr 11, 2022 · A Graph Convolutional Network-based screening strategy for rapid identification of SARS-CoV-2 cell-entry inhibitors · Associated Data · Abstract.
Apr 11, 2022 · The cellular entry of SARS-CoV-2 is one of the key steps in the viral life cycle that represents a hot target for small molecule inhibitors. (6, ...
Dec 9, 2021 · We recently conducted a drug repurposing screen, which identified 8 drugs that inhibited HSPG-dependent entry of SARS-CoV-2 virions.
Graph Convolutional Network-Based Screening Strategy for Rapid Identification of SARS-CoV-2 Cell-Entry Inhibitors ... To read the full-text of this research, you ...
A graph convolutional network (GCN)-based virtual screen workflow for rapid identification of new small molecule inhibitors against validated drug targets ...
PDF | The cell entry of SARS-CoV-2 has emerged as an attractive drug development target. We previously reported that the entry of SARS-CoV-2 depends on.
A graph convolutional network (GCN)-based virtual screen workflow for rapid identification of new small molecule inhibitors against validated drug targets ...
May 11, 2024 · A Graph Convolutional Network-based screening strategy for rapid identification of SARS-CoV-2 cell-entry inhibitors.
Graph Convolutional Network-Based Screening Strategy for Rapid Identification of SARS-CoV-2 Cell-Entry Inhibitors. Peng Gao, Miao Xu, Qi Zhang, Catherine Z ...