bio2byte/b2btools
Suite of estimators of protein biophysical properties.
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bio2byte/b2btools repository overview
Bio2Byte Tools
This package provides you structural predictions for protein sequences made by Bio2Byte group.
🧪 About this Python package
This package, called b2bTools, offers biophysical feature predictors for protein sequences as well as different file parses and other utilities to help you with your protein data analysis.
If your input data consists on one or more sequences not aligned, we provide you with the Single Sequence mode. On the other hand, if your input is a Multiple Sequence Alignment (MSA), we provide the MSA mode. For NMR data, we have the predictor ShiftCrypt.
About the available predictors:
| Predictor | Usage | Bio.Tools | Online predictor |
|---|---|---|---|
| DynaMine | Fast predictor of protein backbone dynamics using only sequence information as input. The version here also predicts side-chain dynamics and secondary structure predictors using the same principle. | Link | Start predicting online ▶️ |
| DisoMine | Predicts protein disorder with recurrent neural networks not directly from the amino acid sequence, but instead from more generic predictions of key biophysical properties, here protein dynamics, secondary structure and early folding. | Link | Start predicting online ▶️ |
| EfoldMine | Predicts from the primary amino acid sequence of a protein, which amino acids are likely involved in early folding events. | Link | Start predicting online ▶️ |
| AgMata | Single-sequence based predictor of protein regions that are likely to cause beta-aggregation. | Link | Start predicting online ▶️ |
| PSPer | PSP (Phase Separating Protein) predicts whether a protein is likely to phase-separate with a particular mechanism involving RNA interacts (FUS-like proteins). It will highlight the regions in your protein that are involved mechanistically, and provide an overall score. | Link | Start predicting online ▶️ |
| ShiftCrypt | Auto-encoding NMR chemical shifts from their native vector space to a residue-level biophysical index | Link | Start predicting online ▶️ |
© Wim Vranken, Bio2Byte group, VUB, Belgium
Tag summary
Content type
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sha256:ac4032cc1…
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3.1 GB
Last updated
5 months ago
docker pull bio2byte/b2btools:3.0.8-pypi_py3.11-linux64