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Joanna Lange

dblp:177/5997 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2016
—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
multiple sequence alignment
0.212016
KMAD: knowledge-based multiple sequence alignment for intrinsically disordered proteins · Bioinform. 2016
Bioinformatics and computational biology
protein sequence analysis
0.212016
KMAD: knowledge-based multiple sequence alignment for intrinsically disordered proteins · Bioinform. 2016
Bioinformatics and computational biology › protein structure analysis
intrinsically disordered protein
0.112016
KMAD: knowledge-based multiple sequence alignment for intrinsically disordered proteins · Bioinform. 2016

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

substitution matrix augmentation · 0.2post-translational modification integration · 0.2
YearPublicationVenuePosition
2016 KMAD: knowledge-based multiple sequence alignment for intrinsically disordered proteins
abstract
UNLABELLED: Intrinsically disordered proteins (IDPs) lack tertiary structure and thus differ from globular proteins in terms of their sequence-structure-function relations. IDPs have lower sequence conservation, different types of active sites and a different distribution of functionally important regions, which altogether make their multiple sequence alignment (MSA) difficult. The KMAD MSA software has been written specifically for the alignment and annotation of IDPs. It augments the substitution matrix with knowledge about post-translational modifications, functional domains and short linear motifs. RESULTS: MSAs produced with KMAD describe well-conserved features among IDPs, tend to agree well with biological intuition, and are a good basis for designing new experiments to shed light on this large, understudied class of proteins. AVAILABILITY AND IMPLEMENTATION: KMAD web server is accessible at http://www.cmbi.ru.nl/kmad/ A standalone version is freely available. CONTACT: [email protected].
Joanna Lange, Lucjan Stanislaw Wyrwicz, Gert Vriend
Bioinform.1