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Chemical Science
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March 29, 2024
Differentiable simulation to develop molecular dynamics force fields for disordered proteins
Joe G Greener
Proceedings of the National Academy of Sciences of the United States of America
|
May 28, 2025
Reversible molecular simulation for training classical and machine-learning force fields
Joe G Greener
Bioinformatics Advances
|
April 8, 2025
Fast protein structure searching using structure graph embeddings
Joe G Greener, Kiarash Jamali
Plos One
|
September 2, 2021
Differentiable molecular simulation can learn all the parameters in a coarse-grained force field for proteins
Joe G Greener, David T Jones
Current Opinion in Structural Biology
|
October 29, 2017
Structure-based prediction of protein allostery
Joe G Greener, Michael Je Sternberg
BMC Bioinformatics
|
October 24, 2015
AlloPred: prediction of allosteric pockets on proteins using normal mode perturbation analysis
Joe G Greener, Michael J E Sternberg
Bioinformatics (Oxford, England)
|
May 15, 2020
BioStructures.jl: read, write and manipulate macromolecular structures in Julia
Joe G Greener, Joel Selvaraj, Ben J Ward
Scientific Reports
|
November 3, 2018
Design of metalloproteins and novel protein folds using variational autoencoders
Joe G Greener, Lewis Moffat, David T Jones
Structure (London, England : 1993)
|
February 14, 2017
Predicting Protein Dynamics and Allostery Using Multi-Protein Atomic Distance Constraints
Joe G Greener, Ioannis Filippis, Michael J E Sternberg
Proteins
|
October 8, 2019
Recent developments in deep learning applied to protein structure prediction
Shaun M Kandathil, Joe G Greener, David T Jones
Page
of 2
Search research articles
Search
Showing results (1-10 of 18) with videos related to
Sort By:
Page
of 2
Chemical Science
|
March 29, 2024
Differentiable simulation to develop molecular dynamics force fields for disordered proteins
Joe G Greener
Proceedings of the National Academy of Sciences of the United States of America
|
May 28, 2025
Reversible molecular simulation for training classical and machine-learning force fields
Joe G Greener
Bioinformatics Advances
|
April 8, 2025
Fast protein structure searching using structure graph embeddings
Joe G Greener, Kiarash Jamali
Plos One
|
September 2, 2021
Differentiable molecular simulation can learn all the parameters in a coarse-grained force field for proteins
Joe G Greener, David T Jones
Current Opinion in Structural Biology
|
October 29, 2017
Structure-based prediction of protein allostery
Joe G Greener, Michael Je Sternberg
BMC Bioinformatics
|
October 24, 2015
AlloPred: prediction of allosteric pockets on proteins using normal mode perturbation analysis
Joe G Greener, Michael J E Sternberg
Bioinformatics (Oxford, England)
|
May 15, 2020
BioStructures.jl: read, write and manipulate macromolecular structures in Julia
Joe G Greener, Joel Selvaraj, Ben J Ward
Scientific Reports
|
November 3, 2018
Design of metalloproteins and novel protein folds using variational autoencoders
Joe G Greener, Lewis Moffat, David T Jones
Structure (London, England : 1993)
|
February 14, 2017
Predicting Protein Dynamics and Allostery Using Multi-Protein Atomic Distance Constraints
Joe G Greener, Ioannis Filippis, Michael J E Sternberg
Proteins
|
October 8, 2019
Recent developments in deep learning applied to protein structure prediction
Shaun M Kandathil, Joe G Greener, David T Jones
Page
of 2