Demo Data from EDBT 2026 / reviewers in the wild / expert
Lucjan Stanislaw Wyrwicz
dblp:33/6781
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
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
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
multiple sequence alignment |
0.2 | 1 | 2016 | KMAD: knowledge-based multiple sequence alignment for intrinsically disordered proteins · Bioinform. 2016 |
Bioinformatics and computational biology
protein sequence analysis |
0.2 | 1 | 2016 | KMAD: knowledge-based multiple sequence alignment for intrinsically disordered proteins · Bioinform. 2016 |
Bioinformatics and computational biology › protein structure analysis
intrinsically disordered protein |
0.1 | 1 | 2016 | KMAD: knowledge-based multiple sequence alignment for intrinsically disordered proteins · Bioinform. 2016 |
Bioinformatics and computational biology › proteomics
post-translational modification prediction |
0.1 | 1 | 2005 | AutoMotif server: prediction of single residue post-translational modifications in proteins · Bioinform. 2005 |
Bioinformatics and computational biology › proteomics
post-translational modification site prediction |
0.1 | 1 | 2005 | AutoMotif server: prediction of single residue post-translational modifications in proteins · Bioinform. 2005 |
Methods — techniques the papers use, named apart from their topics
substitution matrix augmentation · 0.2post-translational modification integration · 0.2support vector machine · 0.1linear functional motifs · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | KMAD: knowledge-based multiple sequence alignment for intrinsically disordered proteinsabstractUNLABELLED: 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. | 2 |
| 2005 | AutoMotif server: prediction of single residue post-translational modifications in proteinsabstractUNLABELLED: The AutoMotif Server allows for identification of post-translational modification (PTM) sites in proteins based only on local sequence information. The local sequence preferences of short segments around PTM residues are described here as linear functional motifs (LFMs). Sequence models for all types of PTMs are trained by support vector machine on short-sequence fragments of proteins in the current release of Swiss-Prot database (phosphorylation by various protein kinases, sulfation, acetylation, methylation, amidation, etc.). The accuracy of the identification is estimated using the standard leave-one-out procedure. The sensitivities for all types of short LFMs are in the range of 70%. AVAILABILITY: The AutoMotif Server is available free for academic use at http://automotif.bioinfo.pl/ Dariusz Plewczynski, Adrian Tkacz, Lucjan Stanislaw Wyrwicz, Leszek Rychlewski |
Bioinform. | 3 |