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David L. Beveridge

dblp:00/2062 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2006
—ORCID · unresolved

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 · 56% Computational science and engineering · 44%

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › structural bioinformatics › molecular structure prediction
DNA structure prediction		 0.112006
Structural bioinformatics of DNA: a web-based tool for the analysis of molecular dynamics results and structure prediction · Bioinform. 2006
Computational science and engineering › computational chemistry › molecular simulation › molecular dynamics
molecular dynamics analysis		 0.112006
Structural bioinformatics of DNA: a web-based tool for the analysis of molecular dynamics results and structure prediction · Bioinform. 2006

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

relational database · 0.1molecular dynamics simulation · 0.1
YearPublicationVenuePosition
2006 Structural bioinformatics of DNA: a web-based tool for the analysis of molecular dynamics results and structure prediction
abstract
UNLABELLED: We report here the release of a web-based tool (MDDNA) to study and model the fine structural details of DNA on the basis of data extracted from a set of molecular dynamics (MD) trajectories of DNA sequences involving all the unique tetranucleotides. The dynamic web interface can be employed to analyze the first neighbor sequence context effects on the 10 unique dinucleotide steps of DNA. Functionality is included to build all atom models of any user-defined sequence based on the MD results. The backend of this interface is a relational database storing the conformational details of DNA obtained in 39 different MD simulation trajectories comprising all the 136 unique tetranucleotide steps. Examples of the use of this data to predict DNA structures are included. AVAILABILITY: http://humphry.chem.wesleyan.edu:8080/MDDNA. SUPPLEMENTARY INFORMATION: Supplementary data including color figures are available at Bioinformatics online.
Surjit B. Dixit, David L. Beveridge
 Bioinform.2