Augustin Žídek

发表

Highly accurate protein structure prediction with AlphaFold

Oriol Vinyals, K. Kavukcuoglu, D. Hassabis, 2021, Nature.

Improved protein structure prediction using potentials from deep learning

Demis Hassabis, Karen Simonyan, David T. Jones, 2020, Nature.

Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13)

Pushmeet Kohli, Demis Hassabis, Karen Simonyan, 2019, Proteins.

Kickstarting Deep Reinforcement Learning pdf

Andrew Zisserman, Joel Z. Leibo, Simon Osindero, 2018, ArXiv.

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

D. Hassabis, Stig Petersen, Pushmeet Kohli, 2021, Nucleic Acids Res..

Highly accurate protein structure prediction for the human proteome

K. Kavukcuoglu, D. Hassabis, A. Senior, 2021, Nature.

Accurate structure prediction of biomolecular interactions with AlphaFold 3

Ellen D. Zhong, D. Hassabis, Pushmeet Kohli, 2024, Nature.

Applying and improving AlphaFold at CASP14

Oriol Vinyals, K. Kavukcuoglu, D. Hassabis, 2021, Proteins.

Protein complex prediction with AlphaFold-Multimer

D. Hassabis, Pushmeet Kohli, A. Pritzel, 2021, bioRxiv.

Unicorn: Continual Learning with a Universal, Off-policy Agent pdf

Tom Schaul, Junhyuk Oh, David Silver, 2018, ArXiv.

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

D. Hassabis, E. Birney, Augustin Zídek, 2023, Nucleic acids research.

AlphaFold: Improved protein structure prediction using 1 potentials from deep learning

David T. Jones, L. Sifre, K. Kavukcuoglu, 2019 .

ModelCIF: An extension of PDBx/mmCIF data representation for computed structure models

Ben M. Webb, C. Orengo, Augustin Zídek, 2022, bioRxiv.