About: An Overview of Practical Applications of Protein Disorder Prediction and Drive for Faster, More Accurate Predictions

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	An Overview of Practical Applications of Protein Disorder Prediction and Drive for Faster, More Accurate Predictions
Creator	Cheng, Jianlin Deng, Xin Eickholt, Jesse Gumm, Jordan Karki, Suman
Source	Medline; PMC
abstract	Protein disordered regions are segments of a protein chain that do not adopt a stable structure. Thus far, a variety of protein disorder prediction methods have been developed and have been widely used, not only in traditional bioinformatics domains, including protein structure prediction, protein structure determination and function annotation, but also in many other biomedical fields. The relationship between intrinsically-disordered proteins and some human diseases has played a significant role in disorder prediction in disease identification and epidemiological investigations. Disordered proteins can also serve as potential targets for drug discovery with an emphasis on the disordered-to-ordered transition in the disordered binding regions, and this has led to substantial research in drug discovery or design based on protein disordered region prediction. Furthermore, protein disorder prediction has also been applied to healthcare by predicting the disease risk of mutations in patients and studying the mechanistic basis of diseases. As the applications of disorder prediction increase, so too does the need to make quick and accurate predictions. To fill this need, we also present a new approach to predict protein residue disorder using wide sequence windows that is applicable on the genomic scale.
has issue date	2015-07-07(xsd:dateTime)
bibo:doi	10.3390/ijms160715384
bibo:pmid	26198229
has license	cc-by
sha1sum (hex)	d37ad55db18a412c55ca07e3780ab65ec8040908
schema:url	https://doi.org/10.3390/ijms160715384
resource representing a document's title	An Overview of Practical Applications of Protein Disorder Prediction and Drive for Faster, More Accurate Predictions
has PubMed Central identifier	PMC4519904
has PubMed identifier	26198229
schema:publication	Int J Mol Sci
resource representing a document's body	covid:d37ad55db18a412c55ca07e3780ab65ec8040908#body_text
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