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FreshAirTonight

FreshAirTonight/af2complex

Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.

7 Releases
Latest: 1y ago
AF2Complex version 1.4.1v1.4.1Latest
FreshAirTonightFreshAirTonight·1y ago·September 8, 2024
GitHub

Added some experimental options and improvements. For example, an option to pair MSA by top N per species or organism.

AF2Complex version 1.4.0v1.4.0
FreshAirTonightFreshAirTonight·3y ago·January 30, 2023
GitHub

Support AF-Multimer v3 multimer models released by DeepMind in AlphaFold version 2.3.0 More options for input feature generation

AF2Complex v1.3.0v1.3.0
FreshAirTonightFreshAirTonight·3y ago·August 31, 2022
GitHub

📋 Changes

  • Google Colab notebook access
  • Added multiple MSA pairing options
  • Enhanced interface score assessment
  • Clustering predicted complexes
AF2Complex v1.2.2v1.2.2
FreshAirTonightFreshAirTonight·4y ago·March 11, 2022
GitHub

Modified the example to demonstrate an application of the new AF-Multimer version 2 models.

AF2Complex v1.2.1v1.2.1
FreshAirTonightFreshAirTonight·4y ago·March 9, 2022
GitHub

Minor bug fixes and code refactoring.

AF2Complex v1.2.0v1.2.0
FreshAirTonightFreshAirTonight·4y ago·February 21, 2022
GitHub

Updated version supports both monomer and multimer neural network models of AlphaFold for predicting protein complex.

AF2Complex v1.0.0v1.0.0
FreshAirTonightFreshAirTonight·4y ago·November 9, 2021
GitHub

First public release of AF2Complex. Predicting direct protein-protein interactions in multimeric proteins using AlphaFold neural network models. Developed and tested with AlphaFold v2.0.1.