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Lidio M. C. Meireles

dblp:35/9424 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

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

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
protein dynamics
0.112011
ProDy: Protein Dynamics Inferred from Theory and Experiments · Bioinform. 2011
Bioinformatics and computational biology › structural biology › protein structure and function
protein structure and dynamics
0.112011
ProDy: Protein Dynamics Inferred from Theory and Experiments · Bioinform. 2011
Bioinformatics and computational biology
structural bioinformatics
0.112011
ProDy: Protein Dynamics Inferred from Theory and Experiments · Bioinform. 2011

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

principal component analysis · 0.1
YearPublicationVenuePosition
2011 ProDy: Protein Dynamics Inferred from Theory and Experiments
abstract
SUMMARY: We developed a Python package, ProDy, for structure-based analysis of protein dynamics. ProDy allows for quantitative characterization of structural variations in heterogeneous datasets of structures experimentally resolved for a given biomolecular system, and for comparison of these variations with the theoretically predicted equilibrium dynamics. Datasets include structural ensembles for a given family or subfamily of proteins, their mutants and sequence homologues, in the presence/absence of their substrates, ligands or inhibitors. Numerous helper functions enable comparative analysis of experimental and theoretical data, and visualization of the principal changes in conformations that are accessible in different functional states. ProDy application programming interface (API) has been designed so that users can easily extend the software and implement new methods. AVAILABILITY: ProDy is open source and freely available under GNU General Public License from http://www.csb.pitt.edu/ProDy/.
Ahmet Bakan, Lidio M. C. Meireles, Ivet Bahar
Bioinform.2