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Ferenc Orosz

dblp:56/9662 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein structure analysis › intrinsically disordered protein
intrinsically disordered protein prediction
0.112011
Proteins without 3D structure: definition, detection and beyond · Bioinform. 2011
Bioinformatics and computational biology
protein structure prediction
0.112011
Proteins without 3D structure: definition, detection and beyond · Bioinform. 2011
Bioinformatics and computational biology › protein analysis › protein bioinformatics
protein function analysis
0.012011
Proteins without 3D structure: definition, detection and beyond · Bioinform. 2011

Methods — techniques the papers use, named apart from their topics

structural disorder prediction · 0.1
YearPublicationVenuePosition
2011 Proteins without 3D structure: definition, detection and beyond
abstract
MOTIVATION: Predictions, and experiments to a lesser extent, following the decoding of the human genome showed that a significant fraction of gene products do not have well-defined 3D structures. While the presence of structured domains traditionally suggested function, it was not clear what the absence of structure implied. These and many other findings initiated the extensive theoretical and experimental research into these types of proteins, commonly known as intrinsically disordered proteins (IDPs). Crucial to understanding IDPs is the evaluation of structural predictors based on different principles and trained on various datasets, which is currently the subject of active research. The view is emerging that structural disorder can be considered as a separate structural category and not simply as absence of secondary and/or tertiary structure. IDPs perform essential functions and their improper functioning is responsible for human diseases such as neurodegenerative disorders.
Ferenc Orosz, Judit Ovádi
Bioinform.1