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Shaun M Kandathil

Showing results (1-10 of 20) with videos related to

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Bioinformatics (Oxford, England)|May 3, 2018
High precision in protein contact prediction using fully convolutional neural networks and minimal sequence featuresDavid T Jones, Shaun M Kandathil
Proteins|January 23, 2016
Toward a detailed understanding of search trajectories in fragment assembly approaches to protein structure predictionShaun M Kandathil, Julia Handl, Simon C Lovell
Nature Communications|September 6, 2019
Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraintsJoe G Greener, Shaun M Kandathil, David T Jones
Proteins|July 13, 2019
Prediction of interresidue contacts with DeepMetaPSICOV in CASP13Shaun M Kandathil, Joe G Greener, David T Jones
Current Opinion in Structural Biology|June 15, 2023
Machine learning methods for predicting protein structure from single sequencesShaun M Kandathil, Andy M Lau, David T Jones
Proteins|October 8, 2019
Recent developments in deep learning applied to protein structure predictionShaun M Kandathil, Joe G Greener, David T Jones
Nature Communications|December 19, 2023
Merizo: a rapid and accurate protein domain segmentation method using invariant point attentionAndy M Lau, Shaun M Kandathil, David T Jones
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|November 27, 2013
Accurate prediction of polarised high order electrostatic interactions for hydrogen bonded complexes using the machine learning method krigingTimothy J Hughes, Shaun M Kandathil, Paul L A Popelier
Biomolecules|October 18, 2019
Reliable Generation of Native-Like Decoys Limits Predictive Ability in Fragment-Based Protein Structure PredictionShaun M Kandathil, Mario Garza-Fabre, Julia Handl, et al.
Nature Reviews. Molecular Cell Biology|September 14, 2021
A guide to machine learning for biologistsJoe G Greener, Shaun M Kandathil, Lewis Moffat, et al.
Pageof 2

Showing results (1-10 of 20) with videos related to

Sort By:
Pageof 2
Bioinformatics (Oxford, England)|May 3, 2018
High precision in protein contact prediction using fully convolutional neural networks and minimal sequence featuresDavid T Jones, Shaun M Kandathil
Proteins|January 23, 2016
Toward a detailed understanding of search trajectories in fragment assembly approaches to protein structure predictionShaun M Kandathil, Julia Handl, Simon C Lovell
Nature Communications|September 6, 2019
Deep learning extends de novo protein modelling coverage of genomes using iteratively predicted structural constraintsJoe G Greener, Shaun M Kandathil, David T Jones
Proteins|July 13, 2019
Prediction of interresidue contacts with DeepMetaPSICOV in CASP13Shaun M Kandathil, Joe G Greener, David T Jones
Current Opinion in Structural Biology|June 15, 2023
Machine learning methods for predicting protein structure from single sequencesShaun M Kandathil, Andy M Lau, David T Jones
Proteins|October 8, 2019
Recent developments in deep learning applied to protein structure predictionShaun M Kandathil, Joe G Greener, David T Jones
Nature Communications|December 19, 2023
Merizo: a rapid and accurate protein domain segmentation method using invariant point attentionAndy M Lau, Shaun M Kandathil, David T Jones
Spectrochimica Acta. Part A, Molecular and Biomolecular Spectroscopy|November 27, 2013
Accurate prediction of polarised high order electrostatic interactions for hydrogen bonded complexes using the machine learning method krigingTimothy J Hughes, Shaun M Kandathil, Paul L A Popelier
Biomolecules|October 18, 2019
Reliable Generation of Native-Like Decoys Limits Predictive Ability in Fragment-Based Protein Structure PredictionShaun M Kandathil, Mario Garza-Fabre, Julia Handl, et al.
Nature Reviews. Molecular Cell Biology|September 14, 2021
A guide to machine learning for biologistsJoe G Greener, Shaun M Kandathil, Lewis Moffat, et al.
Pageof 2