Artificial Intelligence | Drug Discovery | Pharmacology GcForest-based compound-protein interaction prediction model and its application in discovering small-molecule drugs targeting CD47. November 6, 2023
Bioinformatics | Metabolism | Systems Biology Biclique extension as an effective approach to identify missing links in metabolic compound-protein interaction networks. January 26, 2023
Bioinformatics | Drug Discovery | Pharmacology Improved compound-protein interaction site and binding affinity prediction using self-supervised protein embeddings. December 16, 2022
Other CPGL: Prediction of Compound-Protein Interaction by Integrating Graph Attention Network With Long Short-Term Memory Neural Network. November 29, 2022
Bioinformatics | Drug Discovery | Pharmacology Effectively Identifying Compound-Protein Interaction using Graph Neural Representation. August 11, 2022
Bioinformatics | Drug Discovery | Pharmacology FMGNN: A method to predict compound- protein interaction with pharmacophore features and physicochemical properties of amino acids. May 3, 2022
Bioinformatics | Pharmacology Compound-protein interaction prediction by deep learning: databases, descriptors and models. March 6, 2022
Bioinformatics | Pharmacology Yuel: Improving the Generalizability of Structure-Free Compound-Protein Interaction Prediction. February 1, 2022
Bioinformatics | Pharmacology BACPI: a bi-directional attention neural network for compound-protein interaction and binding affinity prediction. January 19, 2022
Bioinformatics | Computational Biology CPInformer for Efficient and Robust Compound-Protein Interaction Prediction. January 19, 2022
Other Picture-word order compound protein interaction: Predicting compound-protein interaction using structural images of compounds. November 30, 2021
Bioinformatics | Deep Learning | Pharmacology DeepCDA: Deep Cross-Domain Compound-Protein Affinity Prediction through LSTM and Convolutional Neural Networks. May 28, 2020