Oncology A revised molecular model of ovarian cancer biomarker CA125 (MUC16) enabled by long-read sequencing. January 10, 2024
Computational Chemistry | Drug Development | Pharmaceutical Sciences DrugHIVE: A Deep Hierarchical Variational Autoencoder for the Structure-Based Design of Drug-Like Molecules. January 8, 2024
Bioinformatics | Computational Biology | Structural Biology Improved Peptide Docking with Privileged Knowledge Distillation using Deep Learning. December 18, 2023
Bioinformatics | Computational Biology | Protein Science Environmental Impacts of Machine Learning Applications in Protein Science. December 1, 2023
Bioinformatics | Proteomics | Structural Biology Time-optimized protein NMR assignment with an integrative deep learning approach using AlphaFold and chemical shift prediction. November 22, 2023
Bioinformatics | Structural Biology Integrating AlphaFold and deep learning for atomistic interpretation of cryo-EM maps. November 20, 2023
Bioinformatics | Molecular Biology | Oncology Computational analysis of protein-protein interactions of cancer drivers in renal cell carcinoma. November 15, 2023
Bioinformatics | Drug design | Proteomics ComplexQA: a deep graph learning approach for protein complex structure assessment. November 6, 2023
Bioinformatics | Biotechnology | Protein Engineering SeqPredNN: a neural network that generates protein sequences that fold into specified tertiary structures. October 3, 2023
Bioinformatics | Proteomics Uncovering new families and folds in the natural protein universe. September 13, 2023