Drug Development | Pharmacology | Toxicology A deep learning based multi-model approach for predicting drug-like chemical compound’s toxicity. May 3, 2024
Bioinformatics | Molecular Biology | Pharmacology DeepBindGCN: Integrating Molecular Vector Representation with Graph Convolutional Neural Networks for Protein-Ligand Interaction Prediction. June 28, 2023
Bioinformatics | Drug Development | Pharmacology Deep Learning-Based Bioactive Therapeutic Peptide Generation and Screening. February 1, 2023
Pharmacology | Virology An Efficient Modern Strategy to Screen Drug Candidates Targeting RdRp of SARS-CoV-2 With Potentially High Selectivity and Specificity. July 29, 2022
Bioinformatics | Pharmacology DeepBindBC: a practical deep learning method for identifying native-like protein-ligand complexes in virtual screening. July 25, 2022
Chemistry | Drug Development | Pharmaceutical Sciences Generating and screening de novo compounds against given targets using ultrafast deep learning models as core components. June 20, 2022
Bioinformatics | Biophysics | Computational Biology Evaluation of residue-residue contact prediction methods: From retrospective to prospective. May 24, 2021
Bioinformatics | Infectious Diseases | Pharmacology Deep Learning Based Drug Screening for Novel Coronavirus 2019-nCov. June 3, 2020
Bioinformatics | Pharmacology | Structural Biology DeepBindPoc: a deep learning method to rank ligand binding pockets using molecular vector representation. April 15, 2020
Bioinformatics | Computational Biology | Drug Discovery DeepBindRG: a deep learning based method for estimating effective protein-ligand affinity. August 5, 2019