RESEARCH: CANCER
FOLDING PROJECT #17625 PROFILE
PROJECT TEAM
Manager(s): Sukrit SinghInstitution: Memorial Sloan-Kettering Cancer-Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 329,840Core: 0x22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Researchers are studying how changes in proteins affect their ability to work together. They're focusing on a complex pair of proteins called RIPK2, which is important for our immune system. By making small changes to the proteins and observing the results, scientists hope to learn more about how these proteins function and potentially develop new treatments for diseases.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
The previous FEC work unit test was completed successfully so now we're running larger "full size" WUs that are more scientifically useful for studying protein mutations with Free Energy Calculations.
As before, the approach and technology are similar to the Moonshot, but these set of projects instead are studying protein mutations and are much larger (since proteins are also much larger) In this case we are trying out multiple mutations and their impact upon a protein-protein of a dimerization complex (RIPK2), the most complex case.
RELATED TERMS GLOSSARY AI BETA
FEC
Free Energy Calculations
Free Energy Calculations (FEC) are a computational method used in biochemistry and drug discovery to predict the stability of protein structures and interactions. FECs help scientists understand how changes in amino acid sequences affect protein folding and function.
WU
Work Unit
A Work Unit (WU) in computational biology refers to a specific task or calculation performed within a larger project. WUs are often used in high-throughput screening and simulations where millions of calculations need to be processed.
protein mutations
Permanent alterations in the DNA sequence of a protein-coding gene.
Protein mutations are changes in the genetic code that can alter the structure and function of proteins. These changes can be caused by various factors like environmental exposure or errors during DNA replication. Some mutations are harmless, while others can lead to diseases.
dimerization
The process of two protein molecules associating to form a complex.
Dimerization is a fundamental biological process where two identical or similar protein molecules come together to create a larger complex. This association often plays crucial roles in protein function, stability, and signaling.
complex
A group of interacting molecules or protein subunits.
A complex in biology refers to a structured assembly of multiple biomolecules, often proteins. These complexes work together to carry out specific functions within cells, such as catalyzing reactions, transporting molecules, or regulating signaling pathways.
RIPK2
Receptor-interacting serine/threonine-protein kinase 2.
RIPK2 is a protein involved in the innate immune response. It plays a crucial role in detecting and responding to pathogen invasion by activating inflammatory pathways.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:37:53|
Rank Project |
Model Name Folding@Home Identifier |
Make Brand |
GPU Model |
PPD Average |
Points WU Average |
WUs Day Average |
WU Time Average |
|---|---|---|---|---|---|---|---|
| 1 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 6,417,591 | 1,885,417 | 3.40 | 7 hrs 3 mins |
| 2 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,764,025 | 1,777,984 | 3.24 | 7 hrs 24 mins |
| 3 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,060,326 | 1,558,019 | 2.61 | 9 hrs 13 mins |
| 4 | GeForce RTX 3070 Mobile / Max-Q GA104M [GeForce RTX 3070 Mobile / Max-Q] |
Nvidia | GA104M | 2,851,939 | 1,384,040 | 2.06 | 11 hrs 39 mins |
| 5 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 2,794,274 | 1,401,262 | 1.99 | 12 hrs 2 mins |
| 6 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,113,209 | 1,234,408 | 1.71 | 14 hrs 1 mins |
| 7 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,481,904 | 1,114,885 | 1.33 | 18 hrs 3 mins |
| 8 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 460,156 | 756,808 | 0.61 | 39 hrs 28 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:37:53|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|