adaptyvbio/ProteinFlow
Versatile computational pipeline for processing protein structure data for deep learning applications.
This tool helps scientists and researchers prepare protein structure data for analysis using deep learning. It takes raw protein structural information from databases like the Protein Data Bank (PDB) or SAbDab, allows you to clean, filter, and organize it, and then outputs structured datasets ready for advanced computational models. Anyone working in protein engineering, drug discovery, or computational biology who uses deep learning to understand protein function or design new proteins would find this useful.
274 stars. No commits in the last 6 months.
Use this if you need to efficiently process large collections of protein structures into clean, standardized datasets for deep learning applications.
Not ideal if you are looking for a tool to perform molecular simulations or visualize protein structures without the need for deep learning preparation.
Stars
274
Forks
17
Language
Python
License
BSD-3-Clause
Category
Last pushed
Feb 14, 2024
Commits (30d)
0
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