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E. S. Shpigelman

dblp:48/5947 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 1993
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 1 · 1 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
1 paper
Bioinformatics and computational biology · 100%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
sequence analysis
0.011993
CURVATURE: software for the analysis of curved DNA · Comput. Appl. Biosci. 1993
Bioinformatics and computational biology › structural bioinformatics › nucleic acid structure analysis
DNA structure modeling
0.011993
CURVATURE: software for the analysis of curved DNA · Comput. Appl. Biosci. 1993

Methods — techniques the papers use, named apart from their topics

nearest-neighbor wedge model · 0.0
YearPublicationVenuePosition
1993 CURVATURE: software for the analysis of curved DNA
abstract
Software is presented to plot the sequence-dependent spatial trajectory of the DNA double helix and/or distribution of curvature along the DNA molecule. The nearest-neighbor wedge model is implemented to calculate overall DNA path using local helix parameters: helix twist angle, wedge (deflection) angle and direction (of deflection) angle. The procedures described proved to be very convenient as tools for investigation of a relationship between overall DNA curvature and its gel electrophoretic mobility. All parameters of the model had been estimated from experimental data. Using these wedge parameters the program takes, as input, any DNA sequence and calculates the likely degree of curvature at each point along the molecule. This information is displayed both graphically and in the form of simplified representations of curved double helices. The Software, CURVATURE, can thus be used to investigate possible roles of curvature in modulation of gene expression and for location of curved portions of DNA, which may play an important role in sequence-specific protein--DNA interactions.
E. S. Shpigelman, Edward N. Trifonov, Alexander Bolshoy
Comput. Appl. Biosci.1