Demo Data from VLDB 2026 / reviewers in the wild / expert
Bernhard Rupp
dblp:36/3571
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2004
0000-0002-3300-6965ORCID · corroborated
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 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
protein crystallization |
0.0 | 1 | 2004 | Distributions of pI versus pH provide prior information for the design of crystallization screening experiments: response to comment on 'Protein isoelectric point as a predictor for increased crystallization screening efficiency' · Bioinform. 2004 |
Bioinformatics and computational biology › genomics
structural genomics |
0.0 | 1 | 2004 | Protein isoelectric point as a predictor for increased crystallization screening efficiency · Bioinform. 2004 |
Methods — techniques the papers use, named apart from their topics
statistical analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2004 | Distributions of pI versus pH provide prior information for the design of crystallization screening experiments: response to comment on 'Protein isoelectric point as a predictor for increased crystallization screening efficiency'abstractKatherine A. Kantardjieff, Mortaza Jamshidian, Bernhard Rupp; Distributions of pI versus pH provide prior information for the design of crystallization screenin Katherine A. Kantardjieff, Mortaza Jamshidian, Bernhard Rupp |
Bioinform. | 3 |
| 2004 | Protein isoelectric point as a predictor for increased crystallization screening efficiencyabstractMOTIVATION: Increased efficiency in initial crystallization screening reduces cost and material requirements in structural genomics. Because pH is one of the few consistently reported parameters in the Protein Data Bank (PDB), the isoelectric point (pI) of a protein has been explored as a useful indirect predictor for the optimal choice of range and distribution of the pH sampling in crystallization trials. RESULTS: We have analyzed 9596 unique protein crystal forms from the August 2003 PDB and have found a significant relationship between the calculated pI of successfully crystallized proteins and the difference between pI and reported pH at which they were crystallized. These preferences provide strong prior information for the design of crystallization screening experiments with significantly increased efficiency and corresponding reduction in material requirements, leading to potential cost savings of millions of US$ for structural genomics projects involving high-throughput crystallographic structure determination. AVAILABILITY: A prototype example of a screen design and efficiency estimator program, CrysPred, is available at http://www-structure.llnl.gov/cryspred/ Katherine A. Kantardjieff, Bernhard Rupp |
Bioinform. | 2 |