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Datanator: an integrated database of molecular data for quantitatively modeling cellular behavior
Integrative research about multiple biochemical subsystems has significant potential to help advance biology, bioengineering and medicine. However, it is difficult to obtain the diverse data needed for integrative research. To facilitate biochemical research, we developed Datanator (https://datanato...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779073/ https://www.ncbi.nlm.nih.gov/pubmed/33174603 http://dx.doi.org/10.1093/nar/gkaa1008 |
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author | Roth, Yosef D Lian, Zhouyang Pochiraju, Saahith Shaikh, Bilal Karr, Jonathan R |
author_facet | Roth, Yosef D Lian, Zhouyang Pochiraju, Saahith Shaikh, Bilal Karr, Jonathan R |
author_sort | Roth, Yosef D |
collection | PubMed |
description | Integrative research about multiple biochemical subsystems has significant potential to help advance biology, bioengineering and medicine. However, it is difficult to obtain the diverse data needed for integrative research. To facilitate biochemical research, we developed Datanator (https://datanator.info), an integrated database and set of tools for finding clouds of multiple types of molecular data about specific molecules and reactions in specific organisms and environments, as well as data about chemically-similar molecules and reactions in phylogenetically-similar organisms in similar environments. Currently, Datanator includes metabolite concentrations, RNA modifications and half-lives, protein abundances and modifications, and reaction rate constants about a broad range of organisms. Going forward, we aim to launch a community initiative to curate additional data. Datanator also provides tools for filtering, visualizing and exporting these data clouds. We believe that Datanator can facilitate a wide range of research from integrative mechanistic models, such as whole-cell models, to comparative data-driven analyses of multiple organisms. |
format | Online Article Text |
id | pubmed-7779073 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-77790732021-01-07 Datanator: an integrated database of molecular data for quantitatively modeling cellular behavior Roth, Yosef D Lian, Zhouyang Pochiraju, Saahith Shaikh, Bilal Karr, Jonathan R Nucleic Acids Res Database Issue Integrative research about multiple biochemical subsystems has significant potential to help advance biology, bioengineering and medicine. However, it is difficult to obtain the diverse data needed for integrative research. To facilitate biochemical research, we developed Datanator (https://datanator.info), an integrated database and set of tools for finding clouds of multiple types of molecular data about specific molecules and reactions in specific organisms and environments, as well as data about chemically-similar molecules and reactions in phylogenetically-similar organisms in similar environments. Currently, Datanator includes metabolite concentrations, RNA modifications and half-lives, protein abundances and modifications, and reaction rate constants about a broad range of organisms. Going forward, we aim to launch a community initiative to curate additional data. Datanator also provides tools for filtering, visualizing and exporting these data clouds. We believe that Datanator can facilitate a wide range of research from integrative mechanistic models, such as whole-cell models, to comparative data-driven analyses of multiple organisms. Oxford University Press 2020-11-11 /pmc/articles/PMC7779073/ /pubmed/33174603 http://dx.doi.org/10.1093/nar/gkaa1008 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Roth, Yosef D Lian, Zhouyang Pochiraju, Saahith Shaikh, Bilal Karr, Jonathan R Datanator: an integrated database of molecular data for quantitatively modeling cellular behavior |
title | Datanator: an integrated database of molecular data for quantitatively modeling cellular behavior |
title_full | Datanator: an integrated database of molecular data for quantitatively modeling cellular behavior |
title_fullStr | Datanator: an integrated database of molecular data for quantitatively modeling cellular behavior |
title_full_unstemmed | Datanator: an integrated database of molecular data for quantitatively modeling cellular behavior |
title_short | Datanator: an integrated database of molecular data for quantitatively modeling cellular behavior |
title_sort | datanator: an integrated database of molecular data for quantitatively modeling cellular behavior |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7779073/ https://www.ncbi.nlm.nih.gov/pubmed/33174603 http://dx.doi.org/10.1093/nar/gkaa1008 |
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