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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Bibliographic Details
Published in:Computational and structural biotechnology journal Vol. 19; pp. 3027 - 3033
Main Authors: Stielow, Bastian, Simon, Clara, Liefke, Robert
Format: Journal Article
Language:English
Published: Elsevier B.V 01.01.2021
Research Network of Computational and Structural Biotechnology
Elsevier
Subjects:
biotechnology
CpG islands
Human genome
Internet
learning
materials
Protein structure prediction
proteins
Review
SAMD1
Transcription factors
Transcription factors
Protein structure prediction
Databases
Human genome
SAMD1
CpG islands
ISSN:2001-0370, 2001-0370
Online Access:Get full text
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Summary: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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SourceType-Scholarly Journals-1
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ISSN:2001-0370
2001-0370
DOI:10.1016/j.csbj.2021.04.052