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Brendan Hassett

dblp:41/167 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2005
—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 · 67% Computational science and engineering · 33%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational science and engineering
computational geometry
0.112005
Improving conformational searches by geometric screening · Bioinform. 2005
Bioinformatics and computational biology › computational biophysics
conformational search
0.112005
Improving conformational searches by geometric screening · Bioinform. 2005
Bioinformatics and computational biology › molecular informatics › molecular modeling
molecular docking
0.112005
Improving conformational searches by geometric screening · Bioinform. 2005

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

geometric screening · 0.1energy minimization · 0.1
YearPublicationVenuePosition
2005 Improving conformational searches by geometric screening
abstract
MOTIVATION: Conformational searches in molecular docking are a time-consuming process with wide range of applications. Favorable conformations of the ligands that successfully bind with receptors are sought to form stable ligand-receptor complexes. Usually a large number of conformations are generated and their binding energies are examined. We propose adding a geometric screening phase before an energy minimization procedure so that only conformations that geometrically fit in the binding site will be prompted for energy calculation. RESULTS: Geometric screening can drastically reduce the number of conformations to be examined from millions (or higher) to thousands (or lower). The method can also handle cases when there are more variables than geometric constraints. An early-stage implementation is able to finish the geometric filtering of conformations for molecules with up to nine variables in 1 min. To the best of our knowledge, this is the first time such results are reported deterministically. CONTACT: [email protected].
R. Allen White, Liqun Wang, Ron Goldman 0002, Lydia E. Kavraki, Brendan Hassett
Bioinform.6