Demo Data from VLDB 2026 / reviewers in the wild / expert
Ori Shachar
dblp:63/8713
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
—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 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › protein design
multistate protein design |
0.1 | 1 | 2010 | SPRINT: side-chain prediction inference toolbox for multistate protein design · Bioinform. 2010 |
Bioinformatics and computational biology
protein design |
0.1 | 1 | 2010 | SPRINT: side-chain prediction inference toolbox for multistate protein design · Bioinform. 2010 |
Bioinformatics and computational biology › structural biology
protein structure and function |
0.1 | 1 | 2010 | SPRINT: side-chain prediction inference toolbox for multistate protein design · Bioinform. 2010 |
Bioinformatics and computational biology
protein structure prediction |
0.1 | 1 | 2010 | SPRINT: side-chain prediction inference toolbox for multistate protein design · Bioinform. 2010 |
Bioinformatics and computational biology › protein structure prediction
side-chain prediction |
0.1 | 1 | 2010 | SPRINT: side-chain prediction inference toolbox for multistate protein design · Bioinform. 2010 |
Methods — techniques the papers use, named apart from their topics
probabilistic graphical model · 0.1dead-end elimination · 0.1belief propagation · 0.1a* search · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | SPRINT: side-chain prediction inference toolbox for multistate protein designabstractUNLABELLED: SPRINT is a software package that performs computational multistate protein design using state-of-the-art inference on probabilistic graphical models. The input to SPRINT is a list of protein structures, the rotamers modeled for each structure and the pre-calculated rotamer energies. Probabilistic inference is performed using the belief propagation or A* algorithms, and dead-end elimination can be applied as pre-processing. The output can either be a list of amino acid sequences simultaneously compatible with these structures, or probabilistic amino acid profiles compatible with the structures. In addition, higher order (e.g. pairwise) amino acid probabilities can also be predicted. Finally, SPRINT also has a module for protein side-chain prediction and single-state design. AVAILABILITY: The full C++ source code for SPRINT can be freely downloaded from http://www.protonet.cs.huji.ac.il/sprint. Menachem Fromer, Chen Yanover, Amir Harel, Ori Shachar, Yair Weiss, Michal Linial |
Bioinform. | 4 |