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Can an InChI for Nano Address the Need for a Simplified Representation of Complex Nanomaterials across Experimental and Nanoinformatics Studies?

Chemoinformatics has developed efficient ways of representing chemical structures for small molecules as simple text strings, simplified molecular-input line-entry system (SMILES) and the IUPAC International Chemical Identifier (InChI), which are machine-readable. In particular, InChIs have been ext...

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Autores principales: Lynch, Iseult, Afantitis, Antreas, Exner, Thomas, Himly, Martin, Lobaskin, Vladimir, Doganis, Philip, Maier, Dieter, Sanabria, Natasha, Papadiamantis, Anastasios G., Rybinska-Fryca, Anna, Gromelski, Maciej, Puzyn, Tomasz, Willighagen, Egon, Johnston, Blair D., Gulumian, Mary, Matzke, Marianne, Green Etxabe, Amaia, Bossa, Nathan, Serra, Angela, Liampa, Irene, Harper, Stacey, Tämm, Kaido, Jensen, Alexander CØ, Kohonen, Pekka, Slater, Luke, Tsoumanis, Andreas, Greco, Dario, Winkler, David A., Sarimveis, Haralambos, Melagraki, Georgia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764592/
https://www.ncbi.nlm.nih.gov/pubmed/33322568
http://dx.doi.org/10.3390/nano10122493
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author Lynch, Iseult
Afantitis, Antreas
Exner, Thomas
Himly, Martin
Lobaskin, Vladimir
Doganis, Philip
Maier, Dieter
Sanabria, Natasha
Papadiamantis, Anastasios G.
Rybinska-Fryca, Anna
Gromelski, Maciej
Puzyn, Tomasz
Willighagen, Egon
Johnston, Blair D.
Gulumian, Mary
Matzke, Marianne
Green Etxabe, Amaia
Bossa, Nathan
Serra, Angela
Liampa, Irene
Harper, Stacey
Tämm, Kaido
Jensen, Alexander CØ
Kohonen, Pekka
Slater, Luke
Tsoumanis, Andreas
Greco, Dario
Winkler, David A.
Sarimveis, Haralambos
Melagraki, Georgia
author_facet Lynch, Iseult
Afantitis, Antreas
Exner, Thomas
Himly, Martin
Lobaskin, Vladimir
Doganis, Philip
Maier, Dieter
Sanabria, Natasha
Papadiamantis, Anastasios G.
Rybinska-Fryca, Anna
Gromelski, Maciej
Puzyn, Tomasz
Willighagen, Egon
Johnston, Blair D.
Gulumian, Mary
Matzke, Marianne
Green Etxabe, Amaia
Bossa, Nathan
Serra, Angela
Liampa, Irene
Harper, Stacey
Tämm, Kaido
Jensen, Alexander CØ
Kohonen, Pekka
Slater, Luke
Tsoumanis, Andreas
Greco, Dario
Winkler, David A.
Sarimveis, Haralambos
Melagraki, Georgia
author_sort Lynch, Iseult
collection PubMed
description Chemoinformatics has developed efficient ways of representing chemical structures for small molecules as simple text strings, simplified molecular-input line-entry system (SMILES) and the IUPAC International Chemical Identifier (InChI), which are machine-readable. In particular, InChIs have been extended to encode formalized representations of mixtures and reactions, and work is ongoing to represent polymers and other macromolecules in this way. The next frontier is encoding the multi-component structures of nanomaterials (NMs) in a machine-readable format to enable linking of datasets for nanoinformatics and regulatory applications. A workshop organized by the H2020 research infrastructure NanoCommons and the nanoinformatics project NanoSolveIT analyzed issues involved in developing an InChI for NMs (NInChI). The layers needed to capture NM structures include but are not limited to: core composition (possibly multi-layered); surface topography; surface coatings or functionalization; doping with other chemicals; and representation of impurities. NM distributions (size, shape, composition, surface properties, etc.), types of chemical linkages connecting surface functionalization and coating molecules to the core, and various crystallographic forms exhibited by NMs also need to be considered. Six case studies were conducted to elucidate requirements for unambiguous description of NMs. The suggested NInChI layers are intended to stimulate further analysis that will lead to the first version of a “nano” extension to the InChI standard.
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spelling pubmed-77645922020-12-27 Can an InChI for Nano Address the Need for a Simplified Representation of Complex Nanomaterials across Experimental and Nanoinformatics Studies? Lynch, Iseult Afantitis, Antreas Exner, Thomas Himly, Martin Lobaskin, Vladimir Doganis, Philip Maier, Dieter Sanabria, Natasha Papadiamantis, Anastasios G. Rybinska-Fryca, Anna Gromelski, Maciej Puzyn, Tomasz Willighagen, Egon Johnston, Blair D. Gulumian, Mary Matzke, Marianne Green Etxabe, Amaia Bossa, Nathan Serra, Angela Liampa, Irene Harper, Stacey Tämm, Kaido Jensen, Alexander CØ Kohonen, Pekka Slater, Luke Tsoumanis, Andreas Greco, Dario Winkler, David A. Sarimveis, Haralambos Melagraki, Georgia Nanomaterials (Basel) Article Chemoinformatics has developed efficient ways of representing chemical structures for small molecules as simple text strings, simplified molecular-input line-entry system (SMILES) and the IUPAC International Chemical Identifier (InChI), which are machine-readable. In particular, InChIs have been extended to encode formalized representations of mixtures and reactions, and work is ongoing to represent polymers and other macromolecules in this way. The next frontier is encoding the multi-component structures of nanomaterials (NMs) in a machine-readable format to enable linking of datasets for nanoinformatics and regulatory applications. A workshop organized by the H2020 research infrastructure NanoCommons and the nanoinformatics project NanoSolveIT analyzed issues involved in developing an InChI for NMs (NInChI). The layers needed to capture NM structures include but are not limited to: core composition (possibly multi-layered); surface topography; surface coatings or functionalization; doping with other chemicals; and representation of impurities. NM distributions (size, shape, composition, surface properties, etc.), types of chemical linkages connecting surface functionalization and coating molecules to the core, and various crystallographic forms exhibited by NMs also need to be considered. Six case studies were conducted to elucidate requirements for unambiguous description of NMs. The suggested NInChI layers are intended to stimulate further analysis that will lead to the first version of a “nano” extension to the InChI standard. MDPI 2020-12-11 /pmc/articles/PMC7764592/ /pubmed/33322568 http://dx.doi.org/10.3390/nano10122493 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lynch, Iseult
Afantitis, Antreas
Exner, Thomas
Himly, Martin
Lobaskin, Vladimir
Doganis, Philip
Maier, Dieter
Sanabria, Natasha
Papadiamantis, Anastasios G.
Rybinska-Fryca, Anna
Gromelski, Maciej
Puzyn, Tomasz
Willighagen, Egon
Johnston, Blair D.
Gulumian, Mary
Matzke, Marianne
Green Etxabe, Amaia
Bossa, Nathan
Serra, Angela
Liampa, Irene
Harper, Stacey
Tämm, Kaido
Jensen, Alexander CØ
Kohonen, Pekka
Slater, Luke
Tsoumanis, Andreas
Greco, Dario
Winkler, David A.
Sarimveis, Haralambos
Melagraki, Georgia
Can an InChI for Nano Address the Need for a Simplified Representation of Complex Nanomaterials across Experimental and Nanoinformatics Studies?
title Can an InChI for Nano Address the Need for a Simplified Representation of Complex Nanomaterials across Experimental and Nanoinformatics Studies?
title_full Can an InChI for Nano Address the Need for a Simplified Representation of Complex Nanomaterials across Experimental and Nanoinformatics Studies?
title_fullStr Can an InChI for Nano Address the Need for a Simplified Representation of Complex Nanomaterials across Experimental and Nanoinformatics Studies?
title_full_unstemmed Can an InChI for Nano Address the Need for a Simplified Representation of Complex Nanomaterials across Experimental and Nanoinformatics Studies?
title_short Can an InChI for Nano Address the Need for a Simplified Representation of Complex Nanomaterials across Experimental and Nanoinformatics Studies?
title_sort can an inchi for nano address the need for a simplified representation of complex nanomaterials across experimental and nanoinformatics studies?
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7764592/
https://www.ncbi.nlm.nih.gov/pubmed/33322568
http://dx.doi.org/10.3390/nano10122493
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