Bioinformatics | Drug Development | Pharmacology Distance plus attention for binding affinity prediction. May 12, 2024
Bioinformatics | Drug Discovery | Genomics PepCNN deep learning tool for predicting peptide binding residues in proteins using sequence, structural, and language model features. November 28, 2023
Bioinformatics Constraint Guided Beta-Sheet Refinement for Protein Structure Prediction. October 1, 2022
Bioinformatics | Proteomics A stacked meta-ensemble for protein inter-residue distance prediction. July 21, 2022
Bioinformatics | Protein structure prediction Enhancing protein inter-residue real distance prediction by scrutinising deep learning models. January 18, 2022
Bioinformatics | Proteomics Secondary structure specific simpler prediction models for protein backbone angles. January 5, 2022
Drug Development | Pharmaceutical Industry | Toxicology CardioTox net: a robust predictor for hERG channel blockade based on deep learning meta-feature ensembles. August 17, 2021
Chemoinformatics | Toxicology Quantitative Toxicity Prediction via Meta Ensembling of Multitask Deep Learning Models. May 31, 2021
Bioinformatics | Computational Biology Enhancing protein backbone angle prediction by using simpler models of deep neural networks. November 11, 2020
Bioinformatics | Proteomics | Structural Biology Improving prediction of secondary structure, local backbone angles, and solvent accessible surface area of proteins by iterative deep learning. November 13, 2018
Bioinformatics | Computational Biology SPIDER2: A Package to Predict Secondary Structure, Accessible Surface Area, and Main-Chain Torsional Angles by Deep Neural Networks. April 16, 2018
Bioinformatics | Structural Biology Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network. September 23, 2014