AF2Complex version 1.4.1

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

AF2Complex version 1.4.0

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

AF2Complex v1.3.0

New features added:

• Google Colab notebook access
• Added multiple MSA pairing options
• Enhanced interface score assessment
• Clustering predicted complexes

AF2Complex v1.2.2

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

AF2Complex v1.2.1

Minor bug fixes and code refactoring.

AF2Complex v1.2.0

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

AF2Complex v1.0.0

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.