RESEARCH: IMMUNOGLOBULIN
FOLDING PROJECT #17245 PROFILE
PROJECT TEAM
Manager(s): Neha VithaniInstitution: Washington University in St. Louis
WORK UNIT INFO
Atoms: 352,448Core: GRO_A8
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Proteins do lots of important jobs in our bodies! Scientists are making new types of proteins called immunoglobulins that can target specific things. This project uses computer simulations to create many different kinds of immunoglobulins and then trains an AI to design even more.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
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!.
RELATED TERMS GLOSSARY AI BETA
Proteins
Large biomolecules essential for various biological functions.
Proteins are the building blocks of life. They perform a wide range of tasks in our bodies, from transporting oxygen to fighting infections. Scientists can design new proteins with specific functions, which has applications in medicine and biotechnology.
Immunoglobulin
Antibodies that recognize and bind to specific antigens.
Immunoglobulins are specialized proteins produced by our immune system to fight off infections. They work by identifying and binding to specific foreign substances called antigens, marking them for destruction.
AI algorithm
A set of instructions that enables computers to learn from data.
AI algorithms are used in various fields to analyze large datasets and make predictions. In this project, an AI algorithm is being trained to design new immunoglobulin proteins.
Single-domain immunoglobulin
A type of antibody with only one antigen-binding domain.
Single-domain immunoglobulins are smaller and more stable than traditional antibodies. They can be used for targeted drug delivery and other applications.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:40:46|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:40:46|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|---|---|---|---|---|
| 1 | RYZEN 9 5950X 16-CORE | 32 | 26,012 | 832,384 | AMD |
| 2 | RYZEN THREADRIPPER 3960X 24-CORE | 48 | 15,642 | 750,816 | AMD |
| 3 | RYZEN 9 3950X 16-CORE | 32 | 20,409 | 653,088 | AMD |
| 4 | XEON CPU E5-2680 V3 @ 2.50GHZ | 24 | 12,657 | 303,768 | Intel |
| 5 | RYZEN 5 3600 6-CORE | 12 | 21,171 | 254,052 | AMD |
| 6 | XEON W-10855M CPU @ 2.80GHZ | 12 | 7,543 | 90,516 | Intel |
| 7 | CORE I5-2520M CPU @ 2.50GHZ | 4 | 5,181 | 20,724 | Intel |
| 8 | CORE I5-4460 CPU @ 3.20GHZ | 4 | 5,170 | 20,680 | Intel |