Jumper, John

Highly accurate protein structure prediction with AlphaFold

Jumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., et al. (2021) · Nature

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 43,764

Accurate structure prediction of biomolecular interactions with AlphaFold 3

Abramson, J., Adler, J., Dunger, J., Evans, R., Green, T., Pritzel, A., Ronneberger, O., Willmore, L., Ballard, A. J., Bambrick, J., et al. (2024) · Nature

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 15,861

AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models

Varadi, M., Anyango, S., Deshpande, M., Nair, S., Natassia, C., Yordanova, G., Yuan, D., Stroe, O., Wood, G., Laydon, A., et al. (2022) · Nucleic Acids Research

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 7,850

Protein complex prediction with AlphaFold-Multimer

Evans, R., O’Neill, M., Pritzel, A., Antropova, N., Senior, A., Green, T., Žídek, A., Bates, R., Blackwell, S., Yim, J., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory)

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 3,808

Improved protein structure prediction using potentials from deep learning

Senior, A. W., Evans, R., Jumper, J., Kirkpatrick, J., Sifre, L., Green, T., Qin, C., Žídek, A., Nelson, A. W. R., Bridgland, A., et al. (2020) · Nature

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 3,378

Highly accurate protein structure prediction for the human proteome

Tunyasuvunakool, K., Adler, J., Wu, Z., Green, T., Zielinski, M., Žídek, A., Bridgland, A., Cowie, A., Meyer, C., Laydon, A., et al. (2021) · Nature

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 3,025

Accurate proteome-wide missense variant effect prediction with AlphaMissense

Cheng, J., Novati, G., Pan, J., Bycroft, C., Žemgulytė, A., Applebaum, T., Pritzel, A., Wong, L. H., Zielinski, M., Sargeant, T., et al. (2023) · Science

Genomics and Rare DiseasesGenetic Associations and Epidemiology

Cited by 2,163

AlphaFold Protein Structure Database in 2024: providing structure coverage for over 214 million protein sequences

Varadi, M., Bertoni, D., Magana, P., Paramval, U., Pidruchna, I., Radhakrishnan, M., Tsenkov, M., Nair, S., Mirdita, M., Yeo, J., et al. (2024) · Nucleic Acids Research

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 2,052

Atomic-level characterization of the structural dynamics of proteins

Shaw, D. E., Maragakis, P., Lindorff-Larsen, K., Piana, S., Dror, R. O., Eastwood, M. P., Bank, J. A., Jumper, J. M., Salmon, J. K., Shan, Y., et al. (2010) · Science

Protein Structure and DynamicsRNA and protein synthesis mechanisms

Cited by 1,923

Effective gene expression prediction from sequence by integrating long-range interactions

Avsec, Ž., Agarwal, V., Visentin, D., Ledsam, J. R., Grabska-Barwinska, A., Taylor, K. R., Assael, Y., Jumper, J., Kohli, P., & Kelley, D. R. (2021) · Nature Methods

Genomics and Chromatin DynamicsGenetic Associations and Epidemiology

Cited by 1,326

Protein structure prediction using multiple deep neural networks in the 13th critical assessment of protein structure prediction (CASP13)

Senior, A. W., Evans, R., Jumper, J., Kirkpatrick, J., Sifre, L., Green, T., Qin, C., Žídek, A., Nelson, A. W. R., Bridgland, A., et al. (2019) · Proteins: Structure, Function, and Bioinformatics

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 347

Protein structure predictions to atomic accuracy with AlphaFold

Jumper, J., & Hassabis, D. (2022) · Nature Methods

Protein Structure and DynamicsMachine Learning in Bioinformatics

Cited by 265

Accelerating Large Language Model Decoding with Speculative Sampling

Chen, C., Borgeaud, S., Irving, G., Lespiau, J.-B., Sifre, L., & Jumper, J. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 40

3D-Beacons: decreasing the gap between protein sequences and structures through a federated network of protein structure data resources

Varadi, M., Nair, S., Sillitoe, I., Tauriello, G., Anyango, S., Bienert, S., Borges, C., Deshpande, M., Green, T., Hassabis, D., et al. (2022) · GigaScience

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 32

Discovery of archaeal Fusexins homologous to eukaryotic HAP2/GCS1 gamete fusion proteins

Moi, D., Nishio, S., Li, X., Valansi, C., Langleib, M., Brukman, N. G., Flyak, K., Dessimoz, C., de Sanctis, D., Tunyasuvunakool, K., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory)

Bacterial Genetics and BiotechnologyBiochemical and Structural Characterization

Cited by 23

3D-Beacons: Decreasing the gap between protein sequences and structures through a federated network of protein structure data resources

Varadi, M., Nair, S., Sillitoe, I., Tauriello, G., Anyango, S., Bienert, S., Borges, C., Deshpande, M., Green, T., Hassabis, D., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory)

Protein Structure and DynamicsEnzyme Structure and Function

Cited by 2