Lista de obras - John Michael Jumper - Dominio Público Uruguay

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

scientific article published in 2022

A Membrane Burial Potential with H-Bonds and Applications to Curved Membranes and Fast Simulations

artículo científico publicado en 2018

Accurate calculation of side chain packing and free energy with applications to protein molecular dynamics

Accurate proteome-wide missense variant effect prediction with AlphaMissense

scientific article published on 19 September 2023

Atomic-Level Characterization of the Structural Dynamics of Proteins ⬇️

artículo científico publicado el 15 de octubre de 2010

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

scientific article published on 04 October 2021

Free-Standing Kinked Silicon Nanowires for Probing Inter- and Intracellular Force Dynamics

artículo científico publicado en 2015

Highly accurate protein structure prediction for the human proteome

Highly accurate protein structure prediction with AlphaFold

artículo científico publicado en 2021

Improved protein structure prediction using potentials from deep learning

artículo científico publicado en 2020

Innovative scattering analysis shows that hydrophobic disordered proteins are expanded in water.

artículo científico publicado en 2017

Loss of conformational entropy in protein folding calculated using realistic ensembles and its implications for NMR-based calculations

artículo científico publicado en 2014

New methods using rigorous machine learning for coarse-grained protein folding and dynamics ⬇️

PhD thesis by John M. Jumper

On the Interpretation of Force-Induced Unfolding Studies of Membrane Proteins Using Fast Simulations

scientific article published on 17 September 2019

Oncogenic mutations counteract intrinsic disorder in the EGFR kinase and promote receptor dimerization

artículo científico publicado en 2012

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

artículo científico publicado en 2019

Response to Comment on “Innovative scattering analysis shows that hydrophobic disordered proteins are expanded in water”

artículo científico publicado en 2018

Rotational relaxation in ortho-terphenyl: using atomistic simulations to bridge theory and experiment

artículo científico publicado en 2013

Structure of the decoy module of human glycoprotein 2 and uromodulin and its interaction with bacterial adhesin FimH

artículo científico publicado en 2022

Trajectory-based training enables protein simulations with accurate folding and Boltzmann ensembles in cpu-hours

artículo científico publicado en 2018

Lista de obras de John Michael Jumper

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

A Membrane Burial Potential with H-Bonds and Applications to Curved Membranes and Fast Simulations

Accurate calculation of side chain packing and free energy with applications to protein molecular dynamics

Accurate proteome-wide missense variant effect prediction with AlphaMissense

Atomic-Level Characterization of the Structural Dynamics of Proteins ⬇️

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

Free-Standing Kinked Silicon Nanowires for Probing Inter- and Intracellular Force Dynamics

Highly accurate protein structure prediction for the human proteome

Highly accurate protein structure prediction with AlphaFold

Improved protein structure prediction using potentials from deep learning

Innovative scattering analysis shows that hydrophobic disordered proteins are expanded in water.

Loss of conformational entropy in protein folding calculated using realistic ensembles and its implications for NMR-based calculations

New methods using rigorous machine learning for coarse-grained protein folding and dynamics ⬇️

On the Interpretation of Force-Induced Unfolding Studies of Membrane Proteins Using Fast Simulations

Oncogenic mutations counteract intrinsic disorder in the EGFR kinase and promote receptor dimerization

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

Response to Comment on “Innovative scattering analysis shows that hydrophobic disordered proteins are expanded in water”

Rotational relaxation in ortho-terphenyl: using atomistic simulations to bridge theory and experiment

Structure of the decoy module of human glycoprotein 2 and uromodulin and its interaction with bacterial adhesin FimH

Trajectory-based training enables protein simulations with accurate folding and Boltzmann ensembles in cpu-hours