Drug design | Pharmacology From Static to Dynamic Structures: Improving Binding Affinity Prediction with Graph-Based Deep Learning. August 29, 2024
Bioinformatics | Genetics | Molecular Biology Deconvolution of polygenic risk score in single cells unravels cellular and molecular heterogeneity of complex human diseases. May 27, 2024
Genetics | Molecular Biology | Neurology Deep learning modeling of rare noncoding genetic variants in human motor neurons defines as a therapeutic target for ALS. April 18, 2024
Bioinformatics | Drug Development | Pharmacology Improving target-disease association prediction through a graph neural network with credibility information. December 21, 2022
Bioinformatics | Machine Learning | Pharmacology DrugAI: a multi-view deep learning model for predicting drug-target activating/inhibiting mechanisms. December 17, 2022
Chemistry | Pharmaceutical Sciences Improving molecular property prediction through a task similarity enhanced transfer learning strategy. October 25, 2022
Oncology | Pharmacology A community challenge for a pancancer drug mechanism of action inference from perturbational profile data. February 2, 2022
Biochemistry | Bioinformatics | Biology A deep-learning framework for multi-level peptide-protein interaction prediction. September 16, 2021
Artificial Intelligence | Clinical Medicine | Pharmacology | Traditional Chinese Medicine FordNet: recommending traditional Chinese medicine formula via deep neural network integrating phenotype and molecule. September 4, 2021
Bioinformatics | Drug Discovery | Pharmacology Crowdsourced mapping of unexplored target space of kinase inhibitors. June 4, 2021
Bioinformatics | Genetics | Molecular Biology Full-length ribosome density prediction by a multi-input and multi-output model. March 26, 2021
Bioinformatics | Molecular Biology A machine learning-based framework for modeling transcription elongation. February 2, 2021