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https://github.com/nyxflower/upsr

Predicting the enzymatic functions of protein structures
https://github.com/nyxflower/upsr

Last synced: 26 days ago
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Predicting the enzymatic functions of protein structures

Awesome Lists containing this project

README

        

(under development...)

## Datasets

Protein Data Bank (RCSB-PDB):
- file format content v-3.3 [[doc]](http://www.wwpdb.org/documentation/file-format-content/format33/v3.3.html)
- Programmatic access [[doc]](https://www.rcsb.org/pages/webservices)

Basic Local Alignment Search Tool (BLAST):
- Using the Common URL API [[doc]](https://ncbi.github.io/blast-cloud/dev/using-url-api.html)

UniProt
- Access programmatically [[doc]](https://www.uniprot.org/help/api)

## Papers

### Review

A review of machine learning methods to predict the solubility of overexpressed recombinant proteins in Escherichia coli
[[paper]](https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-15-134)

### Methods

#### Protein Solubility Prediction

DeepSol: A Deep Learning Framework for Sequence-Based Protein Solubility Prediction
[[paper]](https://sameerkhurana10.github.io/papers/pre_print.pdf)
[[source]](https://zenodo.org/record/1162886#.XdLx8ZJKhMY)

Structural Learning of Proteins Using Graph ConvolutionalNeural Networks
[[paper]](https://www.biorxiv.org/content/biorxiv/early/2019/04/16/610444.full.pdf)

SolXplain: An Explainable Sequence-Based Protein Solubility Predictor
[[paper]](https://www.biorxiv.org/content/early/2019/05/27/651067.full.pdf)

Solart: A Structure-Based Method To Predict Protein Solubility And Aggregation
[[paper]](https://www.biorxiv.org/content/early/2019/04/07/600734.full.pdf)
[[Webserver]](http://babylone.ulb.ac.be/SOLART/)

#### Protein Function Prediction

deepNF: deep network fusion for protein function prediction (*Bioinformatics* 2018) [[paper]](https://academic.oup.com/bioinformatics/article/34/22/3873/5026651)

#### ps model

- graph construction: k-nearest neighbours according to relative distance

## Tools

Biopython - freely available tools for biological computation
[[doc]](http://biopython.org/DIST/docs/tutorial/Tutorial.html)
[[doc_cn]](https://biopython-cn.readthedocs.io/zh_CN/latest/index.html)

ssbio - python package for structural systems biology
[[doc]](https://ssbio.readthedocs.io/en/latest/)

PyMOL - a user-sponsored molecular visualization system
[[web]](https://pymol.org/2/)

Pyecharts - open source visualization tools for Jupyter
[[Github]](https://github.com/pyecharts/pyecharts)