Demo Data from EDBT 2026 / reviewers in the wild / expert
Justina Jankauskaite
dblp:235/6733
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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 bioinformatics
binding affinity database |
0.4 | 1 | 2019 | SKEMPI 2.0: an updated benchmark of changes in protein-protein binding energy, kinetics and thermodynamics upon mutation · Bioinform. 2019 |
Bioinformatics and computational biology › protein analysis
protein-protein interaction |
0.4 | 1 | 2019 | SKEMPI 2.0: an updated benchmark of changes in protein-protein binding energy, kinetics and thermodynamics upon mutation · Bioinform. 2019 |
Bioinformatics and computational biology
structural bioinformatics |
0.4 | 1 | 2019 | SKEMPI 2.0: an updated benchmark of changes in protein-protein binding energy, kinetics and thermodynamics upon mutation · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
manual curation · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | SKEMPI 2.0: an updated benchmark of changes in protein-protein binding energy, kinetics and thermodynamics upon mutationabstractMotivation: Understanding the relationship between the sequence, structure, binding energy, binding kinetics and binding thermodynamics of protein-protein interactions is crucial to understanding cellular signaling, the assembly and regulation of molecular complexes, the mechanisms through which mutations lead to disease, and protein engineering. Results: We present SKEMPI 2.0, a major update to our database of binding free energy changes upon mutation for structurally resolved protein-protein interactions. This version now contains manually curated binding data for 7085 mutations, an increase of 133%, including changes in kinetics for 1844 mutations, enthalpy and entropy changes for 443 mutations, and 440 mutations, which abolish detectable binding. Availability and implementation: The database is available as supplementary data and at https://life.bsc.es/pid/skempi2/. Supplementary information: Supplementary data are available at Bioinformatics online. Justina Jankauskaite, Brian Jiménez-García, Justas Dapkunas, Juan Fernández-Recio, Iain H. Moal |
Bioinform. | 1 |