lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests

V Mariani, M Biasini, A Barbato, T Schwede - Bioinformatics, 2013 - academic.oup.com
Motivation: The assessment of protein structure prediction techniques requires objective
criteria to measure the similarity between a computational model and the experimentally …
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lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests

V Mariani, M Biasini, A Barbato, T Schwede - Bioinformatics, 2013 - doc.rero.ch
Motivation: The assessment of protein structure prediction techniques requires objective
criteria to measure the similarity between a computational model and the experimentally …

lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests

V Mariani, M Biasini, A Barbato, T Schwede - Bioinformatics, 2013 - edoc.unibas.ch
The assessment of protein structure prediction techniques requires objective criteria to
measure the similarity between a computational model and the experimentally determined …
[PDF] semanticscholar.org

[PDF][PDF] lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests

V Mariani, M Biasini, A Barbato… - …, 2013 - pdfs.semanticscholar.org
Motivation: The assessment of protein structure prediction techniques requires objective
criteria to measure the similarity between a computational model and the experimentally …

lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests.

V Mariani, M Biasini, A Barbato… - Bioinformatics (Oxford …, 2013 - folia.unifr.ch
RESULTS The Local Distance Difference Test (lDDT) is a superposition-free score that
evaluates local distance differences of all atoms in a model, including validation of …

lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests.

V Mariani, M Biasini, A Barbato… - Bioinformatics (Oxford …, 2013 - europepmc.org
Results The Local Distance Difference Test (lDDT) is a superposition-free score that
evaluates local distance differences of all atoms in a model, including validation of …
[PDF] core.ac.uk

[PDF][PDF] lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests

V Mariani, M Biasini, A Barbato, T Schwede - BIOINFORMATICS, 2013 - core.ac.uk
Motivation: The assessment of protein structure prediction techniques requires objective
criteria to measure the similarity between a computational model and the experimentally …

lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests.

V Mariani, M Biasini, A Barbato, T Schwede - Bioinformatics, 2013 - search.ebscohost.com
Motivation: The assessment of protein structure prediction techniques requires objective
criteria to measure the similarity between a computational model and the experimentally …

[引用][C] lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests

V Mariani, M Biasini, A Barbato, T Schwede - Bioinformatics, 2013 - cir.nii.ac.jp
lDDT: a local superposition-free score for comparing protein structures and models using
distance difference tests | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] …
[HTML] nih.gov

[HTML][HTML] lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests

V Mariani, M Biasini, A Barbato, T Schwede - Bioinformatics, 2013 - ncbi.nlm.nih.gov
Motivation: The assessment of protein structure prediction techniques requires objective
criteria to measure the similarity between a computational model and the experimentally …