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bio2Byte Tools deployment as a Python package and Galaxy tool to predict protein biophysical properties

Jose Gavaldá-García,Adrián Díaz,Wim F. Vranken

2024 · DOI: 10.1093/bioinformatics/btae543
1 Citations

TLDR

A unified Python package for the prediction of protein biophysical properties, streamlining previous tools developed by the Bio2Byte research group, significantly eases the integration and execution of these tools, enhancing accessibility for both computational and experimental researchers.

Abstract

Abstract Summary 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.