alphafold2-multimer¶

Description¶

AlphaFold2 is a deep learning model for protein structure prediction developed by the research group at DeepMind, an artificial intelligence (AI) research lab owned by Google. AlphaFold2 builds on the success of its predecessor, AlphaFold, and represents a significant breakthrough in the field of protein structure prediction. This model is available for commercial use. The AlphaFold2-Multimer NIM provides an interface and MSA toolkit for inferring protein structure from multimers, i.e. proteins made up of 2 or more polypeptide chains. Reference:

Environment Modules¶

Run module spider alphafold2-multimer-nim to find out what environment modules are available for this application.

Environment Variables¶

HPC_ALPHAFOLD2_MULTIMER_DIR - installation directory
HPC_ALPHAFOLD2_MULTIMER_BIN - executable directory
HPC_ALPHAFOLD2_MULTIMER_IMAGE - the alphafold2-multimer nim container image

Categories¶

biology