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Making fundamental scientific discoveries by combining information from literature, databases, and computational tools – An example

In recent years, the amount of available literature, data and computational tools has increased exponentially, providing opportunities and challenges to make use of this vast amount of material. Here, we describe how we utilized publicly available information to identify the previously hardly charac...

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Detalles Bibliográficos
Autores principales: Stielow, Bastian, Simon, Clara, Liefke, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Network of Computational and Structural Biotechnology 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175269/
https://www.ncbi.nlm.nih.gov/pubmed/34136100
http://dx.doi.org/10.1016/j.csbj.2021.04.052
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author Stielow, Bastian
Simon, Clara
Liefke, Robert
author_facet Stielow, Bastian
Simon, Clara
Liefke, Robert
author_sort Stielow, Bastian
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description In recent years, the amount of available literature, data and computational tools has increased exponentially, providing opportunities and challenges to make use of this vast amount of material. Here, we describe how we utilized publicly available information to identify the previously hardly characterized protein SAMD1 (SAM domain-containing protein 1) as a novel unmethylated CpG island-binding protein. This discovery is an example, how the richness of material and tools on the internet can be used to make scientific breakthroughs, but also the hurdles that may occur. Specifically, we discuss how the misrepresentation of SAMD1 in literature and databases may have prevented an earlier characterization of this protein and we address what can be learned from this example.
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spelling pubmed-81752692021-06-15 Making fundamental scientific discoveries by combining information from literature, databases, and computational tools – An example Stielow, Bastian Simon, Clara Liefke, Robert Comput Struct Biotechnol J Review Article In recent years, the amount of available literature, data and computational tools has increased exponentially, providing opportunities and challenges to make use of this vast amount of material. Here, we describe how we utilized publicly available information to identify the previously hardly characterized protein SAMD1 (SAM domain-containing protein 1) as a novel unmethylated CpG island-binding protein. This discovery is an example, how the richness of material and tools on the internet can be used to make scientific breakthroughs, but also the hurdles that may occur. Specifically, we discuss how the misrepresentation of SAMD1 in literature and databases may have prevented an earlier characterization of this protein and we address what can be learned from this example. Research Network of Computational and Structural Biotechnology 2021-05-14 /pmc/articles/PMC8175269/ /pubmed/34136100 http://dx.doi.org/10.1016/j.csbj.2021.04.052 Text en © 2021 The Author(s) https://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 Review Article
Stielow, Bastian
Simon, Clara
Liefke, Robert
Making fundamental scientific discoveries by combining information from literature, databases, and computational tools – An example
title Making fundamental scientific discoveries by combining information from literature, databases, and computational tools – An example
title_full Making fundamental scientific discoveries by combining information from literature, databases, and computational tools – An example
title_fullStr Making fundamental scientific discoveries by combining information from literature, databases, and computational tools – An example
title_full_unstemmed Making fundamental scientific discoveries by combining information from literature, databases, and computational tools – An example
title_short Making fundamental scientific discoveries by combining information from literature, databases, and computational tools – An example
title_sort making fundamental scientific discoveries by combining information from literature, databases, and computational tools – an example
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8175269/
https://www.ncbi.nlm.nih.gov/pubmed/34136100
http://dx.doi.org/10.1016/j.csbj.2021.04.052
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