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Au courant computation of the PDB to audit diffraction anisotropy of soluble and membrane proteins

This data article makes available the informed computation of the whole Protein Data Bank (PDB) to investigate diffraction anisotropy on a large scale and to perform statistics. This data has been investigated in detail in “X-ray diffraction reveals the intrinsic difference in the physical propertie...

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Autores principales: Robert, Xavier, Kassis-Sahyoun, Josiane, Ceres, Nicoletta, Martin, Juliette, Sawaya, Michael R., Read, Randy J., Gouet, Patrice, Falson, Pierre, Chaptal, Vincent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139481/
https://www.ncbi.nlm.nih.gov/pubmed/30225276
http://dx.doi.org/10.1016/j.dib.2018.05.072
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author Robert, Xavier
Kassis-Sahyoun, Josiane
Ceres, Nicoletta
Martin, Juliette
Sawaya, Michael R.
Read, Randy J.
Gouet, Patrice
Falson, Pierre
Chaptal, Vincent
author_facet Robert, Xavier
Kassis-Sahyoun, Josiane
Ceres, Nicoletta
Martin, Juliette
Sawaya, Michael R.
Read, Randy J.
Gouet, Patrice
Falson, Pierre
Chaptal, Vincent
author_sort Robert, Xavier
collection PubMed
description This data article makes available the informed computation of the whole Protein Data Bank (PDB) to investigate diffraction anisotropy on a large scale and to perform statistics. This data has been investigated in detail in “X-ray diffraction reveals the intrinsic difference in the physical properties of membrane and soluble proteins” [1]. Diffraction anisotropy is traditionally associated with absence of contacts in-between macromolecules within the crystals in a given direction of space. There are however many case that do not follow this empirical rule. To investigate and sort out this discrepancy, we computed diffraction anisotropy for every entry of the PDB, and put them in context of relevant metrics to compare X-ray diffraction in reciprocal space to the crystal packing in real space. These metrics were either extracted from PDB files when available (resolution, space groups, cell parameters, solvent content), or calculated using standard procedures (anisotropy, crystal contacts, presence of ligands). More specifically, we separated entries to compare soluble vs membrane proteins, and further separated the later in subcategories according to their insertion in the membrane, function, or type of crystallization (Type I vs Type II crystal packing). This informed database is being made available to investigators in the raw and curated formats that can be re-used for further downstream studies. This dataset is useful to test ideas and to ascertain hypothesis based on statistical analysis.
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spelling pubmed-61394812018-09-17 Au courant computation of the PDB to audit diffraction anisotropy of soluble and membrane proteins Robert, Xavier Kassis-Sahyoun, Josiane Ceres, Nicoletta Martin, Juliette Sawaya, Michael R. Read, Randy J. Gouet, Patrice Falson, Pierre Chaptal, Vincent Data Brief Crystallopgraphy This data article makes available the informed computation of the whole Protein Data Bank (PDB) to investigate diffraction anisotropy on a large scale and to perform statistics. This data has been investigated in detail in “X-ray diffraction reveals the intrinsic difference in the physical properties of membrane and soluble proteins” [1]. Diffraction anisotropy is traditionally associated with absence of contacts in-between macromolecules within the crystals in a given direction of space. There are however many case that do not follow this empirical rule. To investigate and sort out this discrepancy, we computed diffraction anisotropy for every entry of the PDB, and put them in context of relevant metrics to compare X-ray diffraction in reciprocal space to the crystal packing in real space. These metrics were either extracted from PDB files when available (resolution, space groups, cell parameters, solvent content), or calculated using standard procedures (anisotropy, crystal contacts, presence of ligands). More specifically, we separated entries to compare soluble vs membrane proteins, and further separated the later in subcategories according to their insertion in the membrane, function, or type of crystallization (Type I vs Type II crystal packing). This informed database is being made available to investigators in the raw and curated formats that can be re-used for further downstream studies. This dataset is useful to test ideas and to ascertain hypothesis based on statistical analysis. Elsevier 2018-05-19 /pmc/articles/PMC6139481/ /pubmed/30225276 http://dx.doi.org/10.1016/j.dib.2018.05.072 Text en © 2018 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Crystallopgraphy
Robert, Xavier
Kassis-Sahyoun, Josiane
Ceres, Nicoletta
Martin, Juliette
Sawaya, Michael R.
Read, Randy J.
Gouet, Patrice
Falson, Pierre
Chaptal, Vincent
Au courant computation of the PDB to audit diffraction anisotropy of soluble and membrane proteins
title Au courant computation of the PDB to audit diffraction anisotropy of soluble and membrane proteins
title_full Au courant computation of the PDB to audit diffraction anisotropy of soluble and membrane proteins
title_fullStr Au courant computation of the PDB to audit diffraction anisotropy of soluble and membrane proteins
title_full_unstemmed Au courant computation of the PDB to audit diffraction anisotropy of soluble and membrane proteins
title_short Au courant computation of the PDB to audit diffraction anisotropy of soluble and membrane proteins
title_sort au courant computation of the pdb to audit diffraction anisotropy of soluble and membrane proteins
topic Crystallopgraphy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6139481/
https://www.ncbi.nlm.nih.gov/pubmed/30225276
http://dx.doi.org/10.1016/j.dib.2018.05.072
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