EDBT 2026 Demo / reviewers in the wild / expert
Jose Gavaldá-García
dblp:331/9750
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
0000-0001-6431-3442ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 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% |
Topics — the 1 heaviest of 1, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › molecular property prediction
protein property prediction |
0.8 | 1 | 2024 | bio2Byte Tools deployment as a Python package and Galaxy tool to predict protein biophysical properties · Bioinform. 2024 |
Methods — techniques the papers use, named apart from their topics
sequence-based prediction · 0.8machine learning · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | bio2Byte Tools deployment as a Python package and Galaxy tool to predict protein biophysical propertiesabstractSUMMARY: We introduce a unified Python package for the prediction of protein biophysical properties, streamlining previous tools developed by the Bio2Byte research group. This suite facilitates comprehensive assessments of protein characteristics, incorporating predictors for backbone and sidechain dynamics, local secondary structure propensities, early folding, long disorder, beta-sheet aggregation, and fused in sarcoma (FUS)-like phase separation. Our package significantly eases the integration and execution of these tools, enhancing accessibility for both computational and experimental researchers. AVAILABILITY AND IMPLEMENTATION: The suite is available on the Python Package Index (PyPI): https://pypi.org/project/b2bTools/ and Bioconda: https://bioconda.github.io/recipes/b2btools/README.html for Linux and macOS systems, with Docker images hosted on Biocontainers: https://quay.io/repository/biocontainers/b2btools?tab=tags&tag=latest and Docker Hub: https://hub.docker.com/u/bio2byte. Online deployments are available on Galaxy Europe: https://usegalaxy.eu/root?tool_id=b2btools_single_sequence and our online server: https://bio2byte.be/b2btools/. The source code can be found at https://bitbucket.org/bio2byte/b2btools_releases. Jose Gavaldá-García, Adrián Díaz, Wim F. Vranken |
Bioinform. | 1 |