DeepSequence predictions for every possible missense mutation for all tubulin isotypes considered in this study. (CSV)</p
DeepPT codes in the manuscript "Prediction of cancer treatment response from histopathology images t...
Predicting pathogenicity of missense variants in molecular diagnostics remains a challenge despite t...
Predicting pathogenicity of missense variants in molecular diagnostics remains a challenge despite t...
Complete set of raw predictions obtained from all the variant effect predictors used in this study f...
All ΔΔG values predicted using FoldX using both the structure of the monomeric subunit (ddG_fold) an...
(A) ROC AUC values for each VEP across all tubulin-α and -β isotypes with at least one identified pa...
Full description of all pathogenic mutations compiled in this study (including phenotypes and refere...
From assisting division to molecular transport, cells depend on microtubules for several vital funct...
For each of the VEPs used in this study, cumulative distribution ranks were generated in a combined ...
SummaryA major bottleneck in protein structure prediction is the selection of correct models from a ...
Deep mutational scanning datasets used for 'Mutation Effect Prediction of Proteins using RoseTTAFold...
A major bottleneck in protein structure prediction is the selection of correct models from a pool of...
A major bottleneck in protein structure prediction is the selection of correct models from a pool of...
The proportion of pathogenic and putatively benign gnomAD mutations in each location type for tubuli...
Abstract To deal with the huge number of novel protein‐coding variants identified by genome and exom...
DeepPT codes in the manuscript "Prediction of cancer treatment response from histopathology images t...
Predicting pathogenicity of missense variants in molecular diagnostics remains a challenge despite t...
Predicting pathogenicity of missense variants in molecular diagnostics remains a challenge despite t...
Complete set of raw predictions obtained from all the variant effect predictors used in this study f...
All ΔΔG values predicted using FoldX using both the structure of the monomeric subunit (ddG_fold) an...
(A) ROC AUC values for each VEP across all tubulin-α and -β isotypes with at least one identified pa...
Full description of all pathogenic mutations compiled in this study (including phenotypes and refere...
From assisting division to molecular transport, cells depend on microtubules for several vital funct...
For each of the VEPs used in this study, cumulative distribution ranks were generated in a combined ...
SummaryA major bottleneck in protein structure prediction is the selection of correct models from a ...
Deep mutational scanning datasets used for 'Mutation Effect Prediction of Proteins using RoseTTAFold...
A major bottleneck in protein structure prediction is the selection of correct models from a pool of...
A major bottleneck in protein structure prediction is the selection of correct models from a pool of...
The proportion of pathogenic and putatively benign gnomAD mutations in each location type for tubuli...
Abstract To deal with the huge number of novel protein‐coding variants identified by genome and exom...
DeepPT codes in the manuscript "Prediction of cancer treatment response from histopathology images t...
Predicting pathogenicity of missense variants in molecular diagnostics remains a challenge despite t...
Predicting pathogenicity of missense variants in molecular diagnostics remains a challenge despite t...
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