PROJECT #17242 RESEARCH FOR IMMUNOGLOBULIN
FOLDING PERFORMANCE PROFILE
PROJECT SUMMARY
Proteins come in all shapes and sizes and contain different chemical properties.
This variety allows them to have an extraordinary diversity of functions from helping your muscles contract to breaking down the food you eat to helping with the copying of your genetic code.
Given the versatility of proteins in nature, people have become interested in designing new proteins to carry out new functions.
In particular, people have been interested in designing new immunoglobulin proteins, as these proteins are good at identifying and binding to specific target proteins, which can be used to modulate the function of an existing system in your body.
In this project, we are simulating a large variety of single-domain immunoglobulin proteins then using the resulting data to train an AI algorithm to design new immunoglobulin proteins!.
PROJECT INFO
Manager(s): Neha Vithani
Institution: Washington University in St. Louis
PROJECT WORK UNIT SUMMARY
Atoms: 67,191
Core: GRO_A8
Status: Public
PROJECT FOLDING PPD AVERAGES BY GPU
PPDDB data as of Saturday, 01 April 2023 12:14:49
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PROJECT FOLDING PPD AVERAGES BY CPU BETA
PPDDB data as of Saturday, 01 April 2023 12:14:49