Demo Data from EDBT 2026 / reviewers in the wild / expert
Adrian Carr
dblp:98/11253
· DBLP profile ↗
2ranked-venue papers
0as first author
1since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 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 · 100% | |
| Databases, data mining, and information retrieval
1 paper |
Data integration and cleaning · 50% Query processing and optimization · 50% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › data integration
biological data integration |
0.1 | 1 | 2012 | InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data · Bioinform. 2012 |
Data integration and cleaning
heterogeneous data integration |
0.0 | 1 | 2012 | InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
web services · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Prodigy protein: Python package for zero-shot protein engineering using protein language modelsabstractBACKGROUND: Protein Language Models (PLMs) are emerging as powerful tools for designing human proteins, including antibodies. These models can predict the effects of mutations in a zero-shot setting-without requiring additional fine-tuning-and suggest plausible amino acid substitutions. RESULTS: We introduce Protein Diversification and Generation through Yielded Mutations (Prodigy) Protein which provides several DirectedEvolution classes that introduce amino acid substitutions in a stepwise manner. Each substitution is evaluated using one of two scoring strategies, and the most promising candidates are sampled accordingly. Users can customize the number of evolution steps, specify target regions within the protein sequence, and set score thresholds to filter out low-quality substitutions during the design process. CONCLUSION: Protein Diversification and Generation through Yielded Mutations (Prodigy) Protein is a fast and flexible tool for in silico protein design. It introduces a consistent and efficient probabilistic framework that leverages any masked language modeling Protein Language Model (PLM) available via Hugging Face. Unlike existing tools, Prodigy Protein can integrate multiple PLMs to design protein variants-an approach not currently supported by other publicly available software. Matthew Massett, Adrian Carr |
BMC Bioinform. | 2 |
| 2012 | InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological dataabstractSUMMARY: InterMine is an open-source data warehouse system that facilitates the building of databases with complex data integration requirements and a need for a fast customizable query facility. Using InterMine, large biological databases can be created from a range of heterogeneous data sources, and the extensible data model allows for easy integration of new data types. The analysis tools include a flexible query builder, genomic region search and a library of 'widgets' performing various statistical analyses. The results can be exported in many commonly used formats. InterMine is a fully extensible framework where developers can add new tools and functionality. Additionally, there is a comprehensive set of web services, for which client libraries are provided in five commonly used programming languages. AVAILABILITY: Freely available from http://www.intermine.org under the LGPL license. CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Richard N. Smith, Jelena Aleksic, Daniela Butano, Adrian Carr, Sergio Contrino, Fengyuan Hu, Mike Lyne, Rachel Lyne, Alex Kalderimis, Kim Rutherford, Radek Stepan, Julie M. Sullivan, Matthew Wakeling, Xavier Watkins, Gos Micklem |
Bioinform. | 4 |