RESEARCH: CANCER
FOLDING PROJECT #17621 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 small changes in proteins can affect their function. Scientists are looking at a complex protein pair called RIPK2 and seeing how different mutations change how they interact. This helps us understand diseases caused by these protein malfunctions.
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) is a computational method used to predict the stability and interactions of molecules, particularly proteins. It helps researchers understand how changes in amino acid sequences affect protein folding and function.
WUs
Work Units
Work Units (WUs) are individual tasks or computational jobs assigned to researchers for processing large datasets in scientific simulations. They are commonly used in distributed computing platforms.
Protein Mutations
Changes in the DNA sequence that code for proteins, leading to variations in protein structure and function.
Protein mutations are alterations in the genetic code that affect how proteins are made. These changes can result in altered protein structures or functions, which can have various impacts on an organism's health.
Free Energy Calculations
A computational method used to predict the stability and interactions of molecules.
Free Energy Calculations (FEC) is a powerful tool for understanding how molecules interact with each other. By calculating the free energy changes associated with these interactions, researchers can gain insights into protein folding, binding affinities, and other crucial biological processes.
Dimerization Complex
A complex formed by two identical protein molecules binding together.
A dimerization complex is a structure formed when two identical proteins join together. This interaction plays a vital role in many biological processes, including signal transduction, enzyme activity, and DNA replication.
RIPK2
Receptor-interacting serine/threonine-protein kinase 2
RIPK2 is a protein involved in regulating immune responses. It plays a crucial role in signaling pathways triggered by pathogen recognition and inflammatory stimuli.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:37:59|
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 | 7,468,415 | 1,912,379 | 3.91 | 6 hrs 9 mins |
| 2 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 6,150,535 | 1,728,217 | 3.56 | 6 hrs 45 mins |
| 3 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,246,758 | 1,577,843 | 2.69 | 8 hrs 55 mins |
| 4 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 3,525,886 | 1,484,442 | 2.38 | 10 hrs 6 mins |
| 5 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,918,028 | 1,483,923 | 1.97 | 12 hrs 12 mins |
| 6 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 2,788,699 | 1,334,212 | 2.09 | 11 hrs 29 mins |
| 7 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 2,774,822 | 1,547,019 | 1.79 | 13 hrs 23 mins |
| 8 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,654,277 | 1,633,643 | 1.01 | 23 hrs 42 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:37:59|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|