Mohammed AlQuraishi
Publications by Year
Research Areas
Protein Structure and Dynamics, Machine Learning in Bioinformatics, Computational Drug Discovery Methods, RNA and protein synthesis mechanisms, Genomics and Phylogenetic Studies
Most-Cited Works
- → Unified rational protein engineering with sequence-based deep representation learning(2019)1,144 cited
- → Single-sequence protein structure prediction using a language model and deep learning(2022)407 cited
- → End-to-End Differentiable Learning of Protein Structure(2019)362 cited
- → AlphaFold at CASP13(2019)319 cited
- → Machine learning in protein structure prediction(2021)255 cited
- → OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization(2024)252 cited
- → How to build the virtual cell with artificial intelligence: Priorities and opportunities(2024)213 cited
- → ProteinNet: a standardized data set for machine learning of protein structure(2019)158 cited
- → Biophysical prediction of protein–peptide interactions and signaling networks using machine learning(2020)106 cited