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Adrian A. Canutescu

dblp:78/4289 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2007
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 4 · 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
4 papers
Bioinformatics and computational biology · 100%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
structural bioinformatics
0.122007
ProtBuD: a database of biological unit structures of protein families and superfamilies · Bioinform. 2007
MollDE: a homology modeling framework you can click with · Bioinform. 2005
Bioinformatics and computational biology › bioinformatics infrastructure
biological data management
0.112007
BioDownloader: bioinformatics downloads and updates in a few clicks · Bioinform. 2007
Bioinformatics and computational biology › protein function prediction › protein classification
protein family classification
0.112006
ProtBuD: a database of biological unit structures of protein families and superfamilies · Bioinform. 2006
Bioinformatics and computational biology › structural bioinformatics
protein structure database
0.112006
ProtBuD: a database of biological unit structures of protein families and superfamilies · Bioinform. 2006
Bioinformatics and computational biology › structural bioinformatics › protein structure classification
SCOP
0.112006
ProtBuD: a database of biological unit structures of protein families and superfamilies · Bioinform. 2006
Bioinformatics and computational biology › protein structure prediction › template-based modeling
homology modeling
0.112005
MollDE: a homology modeling framework you can click with · Bioinform. 2005
Bioinformatics and computational biology
protein structure prediction
0.112005
MollDE: a homology modeling framework you can click with · Bioinform. 2005

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

http · 0.1batch download · 0.1FTP · 0.1protein quaternary server · 0.1PSI-BLAST · 0.1side-chain prediction · 0.1sequence profile building · 0.1secondary structure prediction · 0.1loop building · 0.1
YearPublicationVenuePosition
2007 BioDownloader: bioinformatics downloads and updates in a few clicks
abstract
UNLABELLED: There are many ftp or http servers storing data required for biological research. While some download applications are available, there is no user-friendly download application with a graphical interface specifically designed and adapted to meet the requirements of bioinformatics. BioDownloader is a program for downloading and updating files from ftp and http servers. It is optimized to work robustly with large numbers of files. It allows the selective retrieval of only the required files (batch downloads, multiple file masks, ls-lR file parsing, recursive search, recent updates, etc.). BioDownloader has a built-in repository containing the settings for common bioinformatics file-synchronization needs, including the Protein Data Bank (PDB) and National Center for Biotechnology Information (NCBI) databases. It can post-process downloaded files, including archive extraction and file conversions. AVAILABILITY: The program can be installed from http://dunbrack.fccc.edu/BioDownloader. The software is freely available for both non-commercial and commercial users under the BSD license.
Maxim V. Shapovalov, Adrian A. Canutescu, Roland L. Dunbrack Jr.
Bioinform.2
2007 ProtBuD: a database of biological unit structures of protein families and superfamilies
abstract
Bioinformatics (2006) 22(23), 2876–2882
Qifang Xu, Adrian A. Canutescu, Zoran Obradovic, Roland L. Dunbrack Jr.
Bioinform.2
2006 ProtBuD: a database of biological unit structures of protein families and superfamilies
abstract
MOTIVATION: Modeling of protein interactions is often possible from known structures of related complexes. It is often time-consuming to find the most appropriate template. Hypothesized biological units (BUs) often differ from the asymmetric units and it is usually preferable to model from the BUs. RESULTS: ProtBuD is a database of BUs for all structures in the Protein Data Bank (PDB). We use both the PDBs BUs and those from the Protein Quaternary Server. ProtBuD is searchable by PDB entry, the Structural Classification of Proteins (SCOP) designation or pairs of SCOP designations. The database provides the asymmetric and BU contents of related proteins in the PDB as identified in SCOP and Position-Specific Iterated BLAST (PSI-BLAST). The asymmetric unit is different from PDB and/or Protein Quaternary Server (PQS) BUs for 52% of X-ray structures, and the PDB and PQS BUs disagree on 18% of entries. AVAILABILITY: The database is provided as a standalone program and a web server from http://dunbrack.fccc.edu/ProtBuD.php.
Qifang Xu, Adrian A. Canutescu, Zoran Obradovic, Roland L. Dunbrack Jr.
Bioinform.2
2005 MollDE: a homology modeling framework you can click with
abstract
UNLABELLED: Molecular Integrated Development Environment (MolIDE) is an integrated application designed to provide homology modeling tools and protocols under a uniform, user-friendly graphical interface. Its main purpose is to combine the most frequent modeling steps in a semi-automatic, interactive way, guiding the user from the target protein sequence to the final three-dimensional protein structure. The typical basic homology modeling process is composed of building sequence profiles of the target sequence family, secondary structure prediction, sequence alignment with PDB structures, assisted alignment editing, side-chain prediction and loop building. All of these steps are available through a graphical user interface. MolIDE's user-friendly and streamlined interactive modeling protocol allows the user to focus on the important modeling questions, hiding from the user the raw data generation and conversion steps. MolIDE was designed from the ground up as an open-source, cross-platform, extensible framework. This allows developers to integrate additional third-party programs to MolIDE. AVAILABILITY: http://dunbrack.fccc.edu/molide/molide.php CONTACT: [email protected].
Adrian A. Canutescu, Roland L. Dunbrack Jr.
Bioinform.1