Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Laurie E. Grove

dblp:34/10758 · DBLP profile ↗
← Back
2ranked-venue papers
1as first author
0since 2021 · last 2013
0000-0002-5440-1876ORCID · corroborated

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

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

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › drug discovery
drug design
0.222013
FTFlex: accounting for binding site flexibility to improve fragment-based identification of druggable hot spots · Bioinform. 2013
FTSite: high accuracy detection of ligand binding sites on unbound protein structures · Bioinform. 2012
Bioinformatics and computational biology › protein-protein interaction prediction
binding hot spot identification
0.212013
FTFlex: accounting for binding site flexibility to improve fragment-based identification of druggable hot spots · Bioinform. 2013
Bioinformatics and computational biology › protein structure analysis › protein binding site analysis
binding site detection
0.112012
FTSite: high accuracy detection of ligand binding sites on unbound protein structures · Bioinform. 2012
Bioinformatics and computational biology
protein structure analysis
0.112012
FTSite: high accuracy detection of ligand binding sites on unbound protein structures · Bioinform. 2012

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

rotamer library · 0.2small organic molecule probing · 0.1
YearPublicationVenuePosition
2013 FTFlex: accounting for binding site flexibility to improve fragment-based identification of druggable hot spots
abstract
UNLABELLED: Computational solvent mapping finds binding hot spots, determines their druggability and provides information for drug design. While mapping of a ligand-bound structure yields more accurate results, usually the apo structure serves as the starting point in design. The FTFlex algorithm, implemented as a server, can modify an apo structure to yield mapping results that are similar to those of the respective bound structure. Thus, FTFlex is an extension of our FTMap server, which only considers rigid structures. FTFlex identifies flexible residues within the binding site and determines alternative conformations using a rotamer library. In cases where the mapping results of the apo structure were in poor agreement with those of the bound structure, FTFlex was able to yield a modified apo structure, which lead to improved FTMap results. In cases where the mapping results of the apo and bound structures were in good agreement, no new structure was predicted. AVAILABILITY: FTFlex is freely available as a web-based server at http://ftflex.bu.edu/.
Laurie E. Grove, David R. Hall, Dmitri Beglov, Sandor Vajda, Dima Kozakov
Bioinform.1
2012 FTSite: high accuracy detection of ligand binding sites on unbound protein structures
abstract
MOTIVATION: Binding site identification is a classical problem that is important for a range of applications, including the structure-based prediction of function, the elucidation of functional relationships among proteins, protein engineering and drug design. We describe an accurate method of binding site identification, namely FTSite. This method is based on experimental evidence that ligand binding sites also bind small organic molecules of various shapes and polarity. The FTSite algorithm does not rely on any evolutionary or statistical information, but achieves near experimental accuracy: it is capable of identifying the binding sites in over 94% of apo proteins from established test sets that have been used to evaluate many other binding site prediction methods. AVAILABILITY: FTSite is freely available as a web-based server at http://ftsite.bu.edu.
Chi-Ho Ngan, David R. Hall, Brandon S. Zerbe, Laurie E. Grove, Dima Kozakov, Sandor Vajda
Bioinform.4