PROJECT #17245 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: 352,448

Core: GRO_A8

Status: Public