Demo Data from EDBT 2026 / reviewers in the wild / expert
Giorgia F. Camagni
dblp:334/5072
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
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 · 67% Computational science and engineering · 33% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational science and engineering › computational chemistry › molecular simulation
molecular dynamics |
0.7 | 1 | 2023 | RING-PyMOL: residue interaction networks of structural ensembles and molecular dynamics · Bioinform. 2023 |
Bioinformatics and computational biology › structural bioinformatics › protein structure representation
residue interaction network |
0.7 | 1 | 2023 | RING-PyMOL: residue interaction networks of structural ensembles and molecular dynamics · Bioinform. 2023 |
Bioinformatics and computational biology
structural biology |
0.7 | 1 | 2023 | RING-PyMOL: residue interaction networks of structural ensembles and molecular dynamics · Bioinform. 2023 |
Methods — techniques the papers use, named apart from their topics
structural clustering · 0.7non-covalent interaction calculation · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | RING-PyMOL: residue interaction networks of structural ensembles and molecular dynamicsabstractRING-PyMOL is a plugin for PyMOL providing a set of analysis tools for structural ensembles and molecular dynamic simulations. RING-PyMOL combines residue interaction networks, as provided by the RING software, with structural clustering to enhance the analysis and visualization of the conformational complexity. It combines precise calculation of non-covalent interactions with the power of PyMOL to manipulate and visualize protein structures. The plugin identifies and highlights correlating contacts and interaction patterns that can explain structural allostery, active sites, and structural heterogeneity connected with molecular function. It is easy to use and extremely fast, processing and rendering hundreds of models and long trajectories in seconds. RING-PyMOL generates a number of interactive plots and output files for use with external tools. The underlying RING software has been improved extensively. It is 10 times faster, can process mmCIF files and it identifies typed interactions also for nucleic acids. AVAILABILITY AND IMPLEMENTATION: https://github.com/BioComputingUP/ring-pymol. Alessio Del Conte, Alexander Miguel Monzon, Damiano Clementel, Giorgia F. Camagni, Giovanni Minervini, Silvio C. E. Tosatto, Damiano Piovesan |
Bioinform. | 4 |