Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from SIGIR 2026 / reviewers in the wild / expert

Anne Mølgaard

dblp:09/1046 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2009
—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 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › molecular evolution
protein coevolution		 0.112009
InterMap3D: predicting and visualizing co-evolving protein residues · Bioinform. 2009
Bioinformatics and computational biology › structural bioinformatics › protein structure representation
protein structure visualization		 0.012009
InterMap3D: predicting and visualizing co-evolving protein residues · Bioinform. 2009

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

row and column weighting · 0.1mutual information · 0.1dependency · 0.1
YearPublicationVenuePosition
2009 InterMap3D: predicting and visualizing co-evolving protein residues
abstract
SUMMARY: InterMap3D predicts co-evolving protein residues and plots them on the 3D protein structure. Starting with a single protein sequence, InterMap3D automatically finds a set of homologous sequences, generates an alignment and fetches the most similar 3D structure from the Protein Data Bank (PDB). It can also accept a user-generated alignment. Based on the alignment, co-evolving residues are then predicted using three different methods: Row and Column Weighing of Mutual Information, Mutual Information/Entropy and Dependency. Finally, InterMap3D generates high-quality images of the protein with the predicted co-evolving residues highlighted. AVAILABILITY: http://www.cbs.dtu.dk/services/InterMap3D/.
Rodrigo Gouveia-Oliveira, Francisco S. Roque, Rasmus Wernersson, Thomas Sicheritz-Pontén, Peter Wad Sackett, Anne Mølgaard, Anders Gorm Pedersen
 Bioinform.6