EDBT 2026 Demo / reviewers in the wild / expert
Joel L. Sussman
dblp:38/6474
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2005
0000-0003-0306-3878ORCID · verified
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 · 97% Computational science and engineering · 3% |
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 › protein structure analysis › intrinsically disordered protein
intrinsically disordered protein prediction |
0.1 | 1 | 2005 | FoldIndex copyright: a simple tool to predict whether a given protein sequence is intrinsically unfolded · Bioinform. 2005 |
Bioinformatics and computational biology
protein structure prediction |
0.1 | 1 | 2005 | FoldIndex copyright: a simple tool to predict whether a given protein sequence is intrinsically unfolded · Bioinform. 2005 |
Bioinformatics and computational biology
sequence analysis |
0.0 | 1 | 1986 | DNAMAT: an efficient graphic matrix sequence homology algorithm and its application to structural analysis · Comput. Appl. Biosci. 1986 |
Bioinformatics and computational biology › sequence analysis
sequence homology |
0.0 | 1 | 1986 | DNAMAT: an efficient graphic matrix sequence homology algorithm and its application to structural analysis · Comput. Appl. Biosci. 1986 |
Computational science and engineering
structural analysis |
0.0 | 1 | 1986 | DNAMAT: an efficient graphic matrix sequence homology algorithm and its application to structural analysis · Comput. Appl. Biosci. 1986 |
Methods — techniques the papers use, named apart from their topics
lexicographical ordering · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | FoldIndex copyright: a simple tool to predict whether a given protein sequence is intrinsically unfoldedabstractSummary: An easy-to-use, versatile and freely available graphic web server, FoldIndex© is described: it predicts if a given protein sequence is intrinsically unfolded implementing the algorithm of Uversky and co-workers, which is based on the average residue hydrophobicity and net charge of the sequence. FoldIndex© has an error rate comparable to that of more sophisticated fold prediction methods. Sliding windows permit identification of large regions within a protein that possess folding propensities different from those of the whole protein. Availability: FoldIndex© can be accessed at http://bioportal.weizmann.ac.il/fldbin/findex Contact: [email protected] Supplementary information: http://www.weizmann.ac.il/sb/faculty_pages/Sussman/papers/suppl/Prilusky_2005 Jaime Prilusky, Clifford E. Felder, Tzviya Zeev-Ben-Mordehai, Edwin H. Rydberg, Orna Man, Jacques S. Beckmann, Israel Silman, Joel L. Sussman |
Bioinform. | 8 |
| 1986 | DNAMAT: an efficient graphic matrix sequence homology algorithm and its application to structural analysisabstractWe present a fast algorithm to produce a graphic matrix representation of sequence homology. The algorithm is based on lexicographical ordering of fragments. It preserves most of the options of a simple naive algorithm with a significant increase in speed. This algorithm was the bais for a program, called DNAMAT, that has been extensively tested during the last three years at the Weizmann Institute of Science and has proven to be very useful. In addition we suggest a way to extend our approach to analyse a series of related DNA or RNA sequences, in order to determine certain common structural features. The analysis is done by 'summing' a set of dot-matrices to produce an overall matrix that displays structural elements common to most of the sequences. We give an example of this procedure by analysing tRNA sequences. Ron Unger, David Harel, Joel L. Sussman |
Comput. Appl. Biosci. | 3 |