Demo Data from VLDB 2026 / reviewers in the wild / expert
David A. Case
dblp:82/948
· DBLP profile ↗
3ranked-venue papers
0as first author
0since 2021 · last 2018
0000-0003-2314-2346ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 3
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 · 82% Computational science and engineering · 18% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Distributed systems · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › molecular informatics
molecular visualization |
0.3 | 1 | 2018 | NGLview-interactive molecular graphics for Jupyter notebooks · Bioinform. 2018 |
Bioinformatics and computational biology
structural bioinformatics |
0.1 | 1 | 2011 | A Grid-enabled web portal for NMR structure refinement with AMBER · Bioinform. 2011 |
Computational science and engineering › computational chemistry › molecular simulation
molecular dynamics |
0.1 | 1 | 2018 | NGLview-interactive molecular graphics for Jupyter notebooks · Bioinform. 2018 |
Distributed systems
grid computing |
0.0 | 1 | 2011 | A Grid-enabled web portal for NMR structure refinement with AMBER · Bioinform. 2011 |
Methods — techniques the papers use, named apart from their topics
jupyter widget · 0.3WebGL · 0.3simulated annealing · 0.2molecular dynamics simulation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | NGLview-interactive molecular graphics for Jupyter notebooksabstractSummary: NGLview is a Jupyter/IPython widget to interactively view molecular structures as well as trajectories from molecular dynamics simulations. Fast and scalable molecular graphics are provided through the NGL Viewer. The widget supports showing data from the file-system, online data bases and from objects of many popular analysis libraries including mdanalysis, mdtraj, pytraj, rdkit and more. Availability and implementation: The source code is freely available under the MIT license at https://github.com/arose/nglview. Python packages are available from PyPI and bioconda. NGLview uses Python on the server-side and JavaScript on the client. The integration with Jupyter is done through the ipywidgets package. The NGL Viewer is embedded client-side to provide WebGL accelerated molecular graphics. Contact: [email protected]. David A. Case, Alexander S. Rose |
Bioinform. | 2 |
| 2012 | Energetic Selection of Topology in FerredoxinsabstractModels of early protein evolution posit the existence of short peptides that bound metals and ions and served as transporters, membranes or catalysts. The Cys-X-X-Cys-X-X-Cys heptapeptide located within bacterial ferredoxins, enclosing an Fe₄S₄ metal center, is an attractive candidate for such an early peptide. Ferredoxins are ancient proteins and the simple α+β fold is found alone or as a domain in larger proteins throughout all three kingdoms of life. Previous analyses of the heptapeptide conformation in experimentally determined ferredoxin structures revealed a pervasive right-handed topology, despite the fact that the Fe₄S₄ cluster is achiral. Conformational enumeration of a model CGGCGGC heptapeptide bound to a cubane iron-sulfur cluster indicates both left-handed and right-handed folds could exist and have comparable stabilities. However, only the natural ferredoxin topology provides a significant network of backbone-to-cluster hydrogen bonds that would stabilize the metal-peptide complex. The optimal peptide configuration (alternating α(L),α(R)) is that of an α-sheet, providing an additional mechanism where oligomerization could stabilize the peptide and facilitate iron-sulfur cluster binding. J. Dongun Kim, Agustina Rodriguez-Granillo, David A. Case, Vikas Nanda, Paul G. Falkowski |
PLoS Comput. Biol. | 3 |
| 2011 | A Grid-enabled web portal for NMR structure refinement with AMBERabstractMOTIVATION: The typical workflow for NMR structure determination involves collecting thousands of conformational restraints, calculating a bundle of 20-40 conformers in agreement with them and refining the energetics of these conformers. The structure calculation step employs simulated annealing based on molecular dynamics (MD) simulations with very simplified force fields. The value of refining the calculated conformers using restrained MD (rMD) simulations with state-of-art force fields is documented. This refinement however presents various subtleties, from the proper formatting of conformational restraints to the definition of suitable protocols. RESULTS: We describe a web interface to set up and run calculations with the AMBER package, which we called AMPS-NMR (AMBER-based Portal Server for NMR structures). The interface allows the refinement of NMR structures through rMD. Some predefined protocols are provided for this purpose, which can be personalized; it is also possible to create an entirely new protocol. AMPS-NMR can handle various restraint types. Standard rMD refinement in explicit water of the structures of three different proteins are shown as examples. AMPS-NMR additionally includes a workspace for the user to store different calculations. As an ancillary service, a web interface to AnteChamber is available, enabling the calculation of force field parameters for organic molecules such as ligands in protein-ligand adducts. AVAILABILITY AND IMPLEMENTATION: AMPS-NMR is embedded within the NMR services of the WeNMR project and is available at http://py-enmr.cerm.unifi.it/access/index/amps-nmr; its use requires registration with a digital certificate. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Ivano Bertini, David A. Case, Lucio Ferella, Andrea Giachetti 0002, Antonio Rosato |
Bioinform. | 2 |