Drug Discovery | Pharmacology | Proteomics | Target Identification An end-to-end method for predicting compound-protein interactions based on simplified homogeneous graph convolutional network and pre-trained language model. June 7, 2024
Bioinformatics | Pharmacology A bidirectional interpretable compound-protein interaction prediction framework based on cross attention. March 9, 2024
Bioinformatics | Pharmacology Whole proteome mapping of compound-protein interactions. December 21, 2023
Bioinformatics | Drug Development | Pharmacology Pmf-cpi: assessing drug selectivity with a pretrained multi-functional model for compound-protein interactions. October 14, 2023
Bioinformatics | Pharmacology CAT-CPI: Combining CNN and transformer to learn compound image features for predicting compound-protein interactions. October 3, 2022
Bioinformatics | Drug design | Pharmacology A deep learning method for predicting molecular properties and compound-protein interactions. August 22, 2022
Bioinformatics | Pharmacology SSGraphCPI: A Novel Model for Predicting Compound-Protein Interactions Based on Deep Learning. April 12, 2022
Bioinformatics | Computational Biology | Drug Discovery PreBINDS: An Interactive Web Tool to Create Appropriate Datasets for Predicting Compound-Protein Interactions. December 23, 2021
Bioinformatics | Pharmacology DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening. February 8, 2020
Bioinformatics | Computational Chemistry | Drug design CGBVS-DNN: Prediction of Compound-protein Interactions Based on Deep Learning. September 26, 2018