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Fabrizio Benedetti

dblp:13/7065 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0002-9959-9142ORCID · corroborated

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

Applied, interdisciplinary, general and emerging computing · 2

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
protein structure analysis
0.312018
Knoto-ID: a tool to study the entanglement of open protein chains using the concept of knotoids · Bioinform. 2018
Bioinformatics and computational biology › protein structure analysis
protein topology
0.312018
Knoto-ID: a tool to study the entanglement of open protein chains using the concept of knotoids · Bioinform. 2018
Bioinformatics and computational biology
single-molecule analysis
0.012009
Hooke: an open software platform for force spectroscopy · Bioinform. 2009

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

topological invariant · 0.3knot theory · 0.3
YearPublicationVenuePosition
2018 Knoto-ID: a tool to study the entanglement of open protein chains using the concept of knotoids
abstract
Summary: The backbone of most proteins forms an open curve. To study their entanglement, a common strategy consists in searching for the presence of knots in their backbones using topological invariants. However, this approach requires to close the curve into a loop, which alters the geometry of curve. Knoto-ID allows evaluating the entanglement of open curves without the need to close them, using the recent concept of knotoids which is a generalization of the classical knot theory to open curves. Knoto-ID can analyse the global topology of the full chain as well as the local topology by exhaustively studying all subchains or only determining the knotted core. Knoto-ID permits to localize topologically non-trivial protein folds that are not detected by informatics tools detecting knotted protein folds. Availability and implementation: Knoto-ID is written in C++ and includes R (www.R-project.org) scripts to generate plots of projections maps, fingerprint matrices and disk matrices. Knoto-ID is distributed under the GNU General Public License (GPL), version 2 or any later version and is available at https://github.com/sib-swiss/Knoto-ID. A binary distribution for Mac OS X, Linux and Windows with detailed user guide and examples can be obtained from https://www.vital-it.ch/software/Knoto-ID.
Julien Dorier, Dimos Goundaroulis, Fabrizio Benedetti, Andrzej Stasiak
Bioinform.3
2009 Hooke: an open software platform for force spectroscopy
abstract
SUMMARY: Hooke is an open source, extensible software intended for analysis of atomic force microscope (AFM)-based single molecule force spectroscopy (SMFS) data. We propose it as a platform on which published and new algorithms for SMFS analysis can be integrated in a standard, open fashion, as a general solution to the current lack of a standard software for SMFS data analysis. Specific features and support for file formats are coded as independent plugins. Any user can code new plugins, extending the software capabilities. Basic automated dataset filtering and semi-automatic analysis facilities are included. AVAILABILITY: Software and documentation are available at (http://code.google.com/p/hooke). Hooke is a free software under the GNU Lesser General Public License.
Massimo Sandal, Fabrizio Benedetti, Marco Brucale, Alberto Gomez-Casado, Bruno Samorì
Bioinform.2