Demo Data from EDBT 2026 / reviewers in the wild / expert
Devanshu Devanshu
dblp:216/4452
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › structural biology › protein structure and function › protein stability prediction
mutation-induced stability change |
0.3 | 1 | 2018 | pStab: prediction of stable mutants, unfolding curves, stability maps and protein electrostatic frustration · Bioinform. 2018 |
Bioinformatics and computational biology › protein structure analysis
protein electrostatics |
0.3 | 1 | 2018 | pStab: prediction of stable mutants, unfolding curves, stability maps and protein electrostatic frustration · Bioinform. 2018 |
Bioinformatics and computational biology › structural biology › protein structure and function
protein stability prediction |
0.3 | 1 | 2018 | pStab: prediction of stable mutants, unfolding curves, stability maps and protein electrostatic frustration · Bioinform. 2018 |
Methods — techniques the papers use, named apart from their topics
statistical-mechanical ensemble model · 0.3charge-shuffling · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | pStab: prediction of stable mutants, unfolding curves, stability maps and protein electrostatic frustrationabstractSummary: We present a web-server for rapid prediction of changes in protein stabilities over a range of temperatures and experimental conditions upon single- or multiple-point substitutions of charged residues. Potential mutants are identified by a charge-shuffling procedure while the stability changes (i.e. an unfolding curve) are predicted employing an ensemble-based statistical-mechanical model. We expect this server to be a simple yet detailed tool for engineering stabilities, identifying electrostatically frustrated residues, generating local stability maps and in constructing fitness landscapes. Availability and implementation: The web-server is freely available at http://pbl.biotech.iitm.ac.in/pStab and supports recent versions of all major browsers. Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online. Soundhararajan Gopi, Devanshu Devanshu, Praveen Krishna, Athi N. Naganathan |
Bioinform. | 2 |