RESEARCH: CANCER
FOLDING PROJECT #17627 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
The project relates to studying how changes in proteins can affect their function. Researchers are looking at a specific protein complex called RIPK2, which is made of two parts that connect together (dimerize). They're making changes to the protein and seeing how these changes impact how well the two parts connect.
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
FEC is a computational method used in biochemistry to predict the stability of protein structures and interactions. It helps researchers understand how proteins fold and interact with each other.
WUs
Work Units
WUs are individual tasks or calculations performed in computational biology research. They often involve analyzing large datasets or simulating complex biological processes.
Moonshot
A bold and ambitious scientific project aimed at achieving a significant breakthrough.
The Moonshot refers to a large-scale research initiative with the goal of achieving a transformative scientific achievement, often in medicine or healthcare.
Protein mutations
Changes in the DNA sequence that code for proteins.
Protein mutations are alterations in the genetic code that can lead to changes in protein structure and function. These changes can have various effects, ranging from harmless to disease-causing.
Dimerization complex
A protein complex formed by two identical or similar protein subunits.
A dimerization complex is a structure composed of two protein molecules that bind together. This interaction plays crucial roles in various biological processes, including cell signaling and enzymatic activity.
RIPK2
Receptor-interacting serine/threonine-protein kinase 2.
RIPK2 is a protein involved in the immune system's response to infection. It plays a role in activating inflammatory pathways and regulating cell death.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:37:50|
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 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 8,259,319 | 1,974,633 | 4.18 | 5 hrs 44 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 6,836,856 | 1,852,254 | 3.69 | 6 hrs 30 mins |
| 3 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 6,751,997 | 1,893,412 | 3.57 | 6 hrs 44 mins |
| 4 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,312,940 | 1,609,074 | 2.68 | 8 hrs 57 mins |
| 5 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 4,271,307 | 1,659,319 | 2.57 | 9 hrs 19 mins |
| 6 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,600,361 | 1,563,161 | 2.30 | 10 hrs 25 mins |
| 7 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 2,948,982 | 1,558,631 | 1.89 | 12 hrs 41 mins |
| 8 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,485,329 | 1,323,223 | 1.88 | 12 hrs 47 mins |
| 9 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,912,567 | 1,214,672 | 1.57 | 15 hrs 15 mins |
| 10 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,389,198 | 1,281,979 | 1.08 | 22 hrs 9 mins |
| 11 | GeForce GTX Titan X GM200 [GeForce GTX Titan X] 6144 |
Nvidia | GM200 | 777,055 | 1,075,776 | 0.72 | 33 hrs 14 mins |
| 12 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 699,072 | 769,805 | 0.91 | 26 hrs 26 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:37:50|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|