QMEANDisCo—distance constraints applied on model quality estimation
G Studer, C Rempfer, AM Waterhouse… - …, 2020 - academic.oup.com
Motivation Methods that estimate the quality of a 3D protein structure model in absence of an
experimental reference structure are crucial to determine a model's utility and potential …
experimental reference structure are crucial to determine a model's utility and potential …
QMEANDisCo—distance constraints applied on model quality estimation.
G Studer, C Rempfer, AM Waterhouse… - …, 2020 - search.ebscohost.com
Motivation Methods that estimate the quality of a 3D protein structure model in absence of an
experimental reference structure are crucial to determine a model's utility and potential …
experimental reference structure are crucial to determine a model's utility and potential …
[PDF][PDF] QMEANDisCo—distance constraints applied on model quality estimation
G Studer, C Rempfer, AM Waterhouse… - …, 2020 - pdfs.semanticscholar.org
Motivation: Methods that estimate the quality of a 3D protein structure model in absence of
an experimental reference structure are crucial to determine a model's utility and potential …
an experimental reference structure are crucial to determine a model's utility and potential …
QMEANDisCo-distance constraints applied on model quality estimation.
G Studer, C Rempfer, AM Waterhouse… - Bioinformatics (Oxford …, 2020 - sonar.ch
RESULTS DisCo exploits distance distributions from experimentally determined protein
structures that are homologous to the model being assessed. Feed-forward neural networks …
structures that are homologous to the model being assessed. Feed-forward neural networks …
QMEANDisCo—distance constraints applied on model quality estimation
G Studer, C Rempfer, AM Waterhouse, R Gumienny… - Bioinformatics, 2019 - cir.nii.ac.jp
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Methods that estimate the quality of a 3D protein structure model in absence of an …
Methods that estimate the quality of a 3D protein structure model in absence of an …
QMEANDisCo-distance constraints applied on model quality estimation
G Studer, C Rempfer… - Bioinformatics …, 2020 - pubmed.ncbi.nlm.nih.gov
Motivation Methods that estimate the quality of a 3D protein structure model in absence of an
experimental reference structure are crucial to determine a model's utility and potential …
experimental reference structure are crucial to determine a model's utility and potential …
[PDF][PDF] QMEANDisCo—distance constraints applied on model quality estimation
G Studer, C Rempfer, AM Waterhouse… - …, 2020 - academic.oup.com
Motivation Methods that estimate the quality of a 3D protein structure model in absence of an
experimental reference structure are crucial to determine a model's utility and potential …
experimental reference structure are crucial to determine a model's utility and potential …
QMEANDisCo-distance constraints applied on model quality estimation.
G Studer, C Rempfer, AM Waterhouse… - Bioinformatics (Oxford …, 2020 - folia.unifr.ch
RESULTS DisCo exploits distance distributions from experimentally determined protein
structures that are homologous to the model being assessed. Feed-forward neural networks …
structures that are homologous to the model being assessed. Feed-forward neural networks …
[HTML][HTML] QMEANDisCo—distance constraints applied on model quality estimation
G Studer, C Rempfer, AM Waterhouse, R Gumienny… - …, 2020 - ncbi.nlm.nih.gov
Results DisCo exploits distance distributions from experimentally determined protein
structures that are homologous to the model being assessed. Feed-forward neural networks …
structures that are homologous to the model being assessed. Feed-forward neural networks …
QMEANDisCo-Distance Constraints Applied on Model Quality Estimation
G Studer, C Rempfer, AM Waterhouse, R Gumienny… - …, 2019 - edoc.unibas.ch
Methods that estimate the quality of a 3-dimensional protein structure model in absence of
an experimental reference structure are crucial to determine a modelâEurotms utility and …
an experimental reference structure are crucial to determine a modelâEurotms utility and …