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Amanda L. Jonsson

dblp:85/8885 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1

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 › protein domain identification
protein domain classification
0.112011
Generation of a consensus protein domain dictionary · Bioinform. 2011
Bioinformatics and computational biology
structural bioinformatics
0.112011
Generation of a consensus protein domain dictionary · Bioinform. 2011
Bioinformatics and computational biology › protein structure prediction
protein folding
0.012011
Generation of a consensus protein domain dictionary · Bioinform. 2011

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

consensus analysis · 0.1
YearPublicationVenuePosition
2011 Generation of a consensus protein domain dictionary
abstract
MOTIVATION: The discovery of new protein folds is a relatively rare occurrence even as the rate of protein structure determination increases. This rarity reinforces the concept of folds as reusable units of structure and function shared by diverse proteins. If the folding mechanism of proteins is largely determined by their topology, then the folding pathways of members of existing folds could encompass the full set used by globular protein domains. RESULTS: We have used recent versions of three common protein domain dictionaries (SCOP, CATH and Dali) to generate a consensus domain dictionary (CDD). Surprisingly, 40% of the metafolds in the CDD are not composed of autonomous structural domains, i.e. they are not plausible independent folding units. This finding has serious ramifications for bioinformatics studies mining these domain dictionaries for globular protein properties. However, our main purpose in deriving this CDD was to generate an updated CDD to choose targets for MD simulation as part of our dynameomics effort, which aims to simulate the native and unfolding pathways of representatives of all globular protein consensus folds (metafolds). Consequently, we also compiled a list of representative protein targets of each metafold in the CDD. AVAILABILITY AND IMPLEMENTATION: This domain dictionary is available at www.dynameomics.org.
R. Dustin Schaeffer, Amanda L. Jonsson, Andrew M. Simms, Valerie Daggett
Bioinform.2