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

TL;DR

The paper presents a unified Python package and Galaxy tool for predicting various protein biophysical properties, making these complex assessments more accessible and easier to integrate for researchers.

Contribution

It introduces a comprehensive, user-friendly software suite that consolidates multiple protein property predictors into a single Python package and Galaxy tool.

Findings

Streamlined prediction of multiple protein properties

Enhanced accessibility for computational and experimental researchers

Facilitated integration of biophysical property assessments

Abstract

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 FUS-like phase separation. Our package significantly eases the integration and execution of these tools, enhancing accessibility for both computational and experimental researchers.