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René Hoffmann

dblp:69/2451 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · unresolved

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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein structure analysis
protein structure annotation
0.012003
ProSAT: functional annotation of protein 3D structures · Bioinform. 2003
Bioinformatics and computational biology › structural bioinformatics
protein structure database
0.012003
ProSAT: functional annotation of protein 3D structures · Bioinform. 2003

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

structure visualization · 0.0annotation mapping · 0.0
YearPublicationVenuePosition
2003 ProSAT: functional annotation of protein 3D structures
abstract
ProSAT (for Protein Structure Annotation Tool) is a tool to facilitate interactive visualization of non-structure-based functional annotations in protein 3D structures. It performs automated mapping of the functional annotations onto the protein structure and allows functional sites to be readily identified upon visualization. The current version of ProSAT can be applied to large datasets of protein structures for fast visual identification of active and other functional sites derived from the SwissProt and Prosite databases.
Razif R. Gabdoulline, René Hoffmann, Florian Leitner, Rebecca C. Wade
Bioinform.2