AlQuraishi, Mohammed
Columbia University
10 papers on CoChatORCID 0000-0001-6817-1322
Most cited papers
- Verified
Unified rational protein engineering with sequence-based deep representation learning
Alley, E. C., Khimulya, G., Biswas, S., AlQuraishi, M., & Church, G. M. (2019) · Nature Methods
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 1,131
- Verified
Single-sequence protein structure prediction using language models from deep learning
Chowdhury, R., Bouatta, N., Biswas, S., Rochereau, C., Church, G. M., Sorger, P. K., & AlQuraishi, M. (2021) · Nature Biotechnology
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 455
- Verified
Single-sequence protein structure prediction using a language model and deep learning
Chowdhury, R., Bouatta, N., Biswas, S., Floristean, C., Kharkar, A., Roy, K., Rochereau, C., Ahdritz, G., Zhang, J., Church, G. M., et al. (2022) · Nature Biotechnology
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 455
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OpenFold: retraining AlphaFold2 yields new insights into its learning mechanisms and capacity for generalization
Ahdritz, G., Bouatta, N., Floristean, C., Kadyan, S., Xia, Q., Gerecke, W., O’Donnell, T. J., Berenberg, D., Fisk, I., Zanichelli, N., et al. (2024) · Nature Methods
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 439
- Verified
End-to-End Differentiable Learning of Protein Structure
AlQuraishi, M. (2019) · Cell Systems
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 371
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Biophysical prediction of protein–peptide interactions and signaling networks using machine learning
Cunningham, J. M., Rogers, J. R., Koytiger, G., Sorger, P. K., & AlQuraishi, M. (2020) · Nature Methods
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 108
- Verified
Differentiable biology: using deep learning for biophysics-based and data-driven modeling of molecular mechanisms
AlQuraishi, M., & Sorger, P. K. (2021) · Nature Methods
Machine Learning in BioinformaticsGene Regulatory Network Analysis
Cited by 96
- Verified
Protein structure prediction by AlphaFold 2: are attention and symmetries all you need?
Bouatta, N., Sorger, P., & AlQuraishi, M. (2021) · Acta Crystallographica Section D Structural Biology
Protein Structure and DynamicsMachine Learning in Bioinformatics
Cited by 69
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High-throughput deep learning variant effect prediction with Sequence UNET
Dunham, A. S., Beltrao, P., & AlQuraishi, M. (2023) · Genome Biology
Genomics and Rare DiseasesMachine Learning in Bioinformatics
Cited by 31
- Verified
AlphaFold as a prior: experimental structure determination conditioned on a pretrained neural network
Fadini, A., Li, M., McCoy, A. J., Banjara, S., Okumura, H., Napier, E., Fontana, P., Khan, A. R., Jovine, L., Terwilliger, T. C., et al. (2026) · Nature Methods
Protein Structure and DynamicsEnzyme Structure and Function
Cited by 22
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