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Maria Giulia Prado

dblp:197/8406 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2017
0000-0002-3836-477XORCID · reported

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 · 100%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › protein structure prediction › template-based modeling
homology modeling
0.312017
PyMod 2.0: improvements in protein sequence-structure analysis and homology modeling within PyMOL · Bioinform. 2017
Bioinformatics and computational biology
multiple sequence alignment
0.312017
PyMod 2.0: improvements in protein sequence-structure analysis and homology modeling within PyMOL · Bioinform. 2017
Bioinformatics and computational biology
protein structure prediction
0.312017
PyMod 2.0: improvements in protein sequence-structure analysis and homology modeling within PyMOL · Bioinform. 2017
Bioinformatics and computational biology › structural bioinformatics › sequence-structure relationship
sequence-structure analysis
0.312017
PyMod 2.0: improvements in protein sequence-structure analysis and homology modeling within PyMOL · Bioinform. 2017
Bioinformatics and computational biology
structural bioinformatics
0.312017
PyMod 2.0: improvements in protein sequence-structure analysis and homology modeling within PyMOL · Bioinform. 2017

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

clustalomega · 0.3SALIGN · 0.3PSIPRED · 0.3MODELLER · 0.3
YearPublicationVenuePosition
2017 PyMod 2.0: improvements in protein sequence-structure analysis and homology modeling within PyMOL
abstract
Motivation: The recently released PyMod GUI integrates many of the individual steps required for protein sequence-structure analysis and homology modeling within the interactive visualization capabilities of PyMOL. Here we describe the improvements introduced into the version 2.0 of PyMod. Results: The original code of PyMod has been completely rewritten and improved in version 2.0 to extend PyMOL with packages such as Clustal Omega, PSIPRED and CAMPO. Integration with the popular web services ESPript and WebLogo is also provided. Finally, a number of new MODELLER functionalities have also been implemented, including SALIGN, modeling of quaternary structures, DOPE scores, disulfide bond modeling and choice of heteroatoms to be included in the final model. Availability and Implementation: PyMod 2.0 installer packages for Windows, Linux and Mac OS X and user guides are available at http://schubert.bio.uniroma1.it/pymod/index.html. The open source code of the project is hosted at https://github.com/pymodproject/pymod. Contact: [email protected] or [email protected]
Giacomo Janson, Maria Giulia Prado, Alessandro Paiardini
Bioinform.3