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Data from docking simulations to develop an efficient strategy able to evaluate the interactions between RAGE and MDA-induced albumin adducts

This data article contains the results of docking simulations performed in order to develop a suitable in silico strategy able to assess the stability of the putative complexes between RAGE and MDA induced adducts on human albumin as experimentally determined doi: 10.1016/j.redox.2016.12.017, (Degan...

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Detalles Bibliográficos
Autores principales: Mazzolari, Angelica, Coppa, Crescenzo, Altomare, Alessandra, Degani, Genny, Vistoli, Giulio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5435577/
https://www.ncbi.nlm.nih.gov/pubmed/28560271
http://dx.doi.org/10.1016/j.dib.2017.05.009
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author Mazzolari, Angelica
Coppa, Crescenzo
Altomare, Alessandra
Degani, Genny
Vistoli, Giulio
author_facet Mazzolari, Angelica
Coppa, Crescenzo
Altomare, Alessandra
Degani, Genny
Vistoli, Giulio
author_sort Mazzolari, Angelica
collection PubMed
description This data article contains the results of docking simulations performed in order to develop a suitable in silico strategy able to assess the stability of the putative complexes between RAGE and MDA induced adducts on human albumin as experimentally determined doi: 10.1016/j.redox.2016.12.017, (Degani et al., 2017) [1]. The docking simulations involved different approaches to give a simplified yet realistic representation of the protein adducts and their environment. With increasing complexity, simulations involved the corresponding albumin tripeptides and pentapeptides with the modified residue in the central position as well as pseudo-structures which were generated by collecting the albumin residues around the adducted residue within a sphere of 7.5 Å and 5 Å radius. The reliability of the tested approaches was assessed by monitoring the score differences between adducted and unmodified residues. The obtained results revealed the greater predictive power of the spherical pseudo-structures compared to the simple tri- or pentapeptidic sequences thus suggesting that RAGE recognition involves residues which are spatially close to the modified residue even though not necessarily adjacent in the primary sequence.
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spelling pubmed-54355772017-05-30 Data from docking simulations to develop an efficient strategy able to evaluate the interactions between RAGE and MDA-induced albumin adducts Mazzolari, Angelica Coppa, Crescenzo Altomare, Alessandra Degani, Genny Vistoli, Giulio Data Brief Data Article This data article contains the results of docking simulations performed in order to develop a suitable in silico strategy able to assess the stability of the putative complexes between RAGE and MDA induced adducts on human albumin as experimentally determined doi: 10.1016/j.redox.2016.12.017, (Degani et al., 2017) [1]. The docking simulations involved different approaches to give a simplified yet realistic representation of the protein adducts and their environment. With increasing complexity, simulations involved the corresponding albumin tripeptides and pentapeptides with the modified residue in the central position as well as pseudo-structures which were generated by collecting the albumin residues around the adducted residue within a sphere of 7.5 Å and 5 Å radius. The reliability of the tested approaches was assessed by monitoring the score differences between adducted and unmodified residues. The obtained results revealed the greater predictive power of the spherical pseudo-structures compared to the simple tri- or pentapeptidic sequences thus suggesting that RAGE recognition involves residues which are spatially close to the modified residue even though not necessarily adjacent in the primary sequence. Elsevier 2017-05-06 /pmc/articles/PMC5435577/ /pubmed/28560271 http://dx.doi.org/10.1016/j.dib.2017.05.009 Text en © 2017 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 Data Article
Mazzolari, Angelica
Coppa, Crescenzo
Altomare, Alessandra
Degani, Genny
Vistoli, Giulio
Data from docking simulations to develop an efficient strategy able to evaluate the interactions between RAGE and MDA-induced albumin adducts
title Data from docking simulations to develop an efficient strategy able to evaluate the interactions between RAGE and MDA-induced albumin adducts
title_full Data from docking simulations to develop an efficient strategy able to evaluate the interactions between RAGE and MDA-induced albumin adducts
title_fullStr Data from docking simulations to develop an efficient strategy able to evaluate the interactions between RAGE and MDA-induced albumin adducts
title_full_unstemmed Data from docking simulations to develop an efficient strategy able to evaluate the interactions between RAGE and MDA-induced albumin adducts
title_short Data from docking simulations to develop an efficient strategy able to evaluate the interactions between RAGE and MDA-induced albumin adducts
title_sort data from docking simulations to develop an efficient strategy able to evaluate the interactions between rage and mda-induced albumin adducts
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5435577/
https://www.ncbi.nlm.nih.gov/pubmed/28560271
http://dx.doi.org/10.1016/j.dib.2017.05.009
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