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Katherine A. Kantardjieff

dblp:53/4993 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2004
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 2 · 2 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
2 papers
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
protein crystallization
0.012004
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
0.012004
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
YearPublicationVenuePosition
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'
abstract
Katherine 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.1
2004 Protein isoelectric point as a predictor for increased crystallization screening efficiency
abstract
MOTIVATION: 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.1