FreshAirTonight/af2complex
Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.
This tool helps biologists and biochemists predict and model how proteins interact with each other in a cell. You input the genetic sequences of multiple proteins, and it outputs 3D structural models of how those proteins might bind together, indicating likely interaction sites and overall complex shapes. This is for researchers studying fundamental biological processes, drug discovery, or protein engineering.
169 stars. No commits in the last 6 months.
Use this if you need to understand or discover how a set of proteins might physically interact and form complexes, especially for challenging interactions like transient or membrane proteins that are hard to study experimentally.
Not ideal if you are looking for experimental validation or a high-throughput screening tool for compounds, as this focuses solely on predicting protein-protein interactions from sequence data.
Stars
169
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18
Language
Python
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Last pushed
Sep 08, 2024
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