RESEARCH: CANCER
FOLDING PROJECT #17619 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 testing how tiny changes in proteins called mutations affect their ability to work together. They're focusing on a complex pair of proteins called RIPK2, which is like a difficult puzzle to solve. This helps scientists understand diseases better.
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 to predict the stability of biomolecular structures like proteins. It involves calculating the free energy changes associated with different protein conformations.
WUs
Work Units
WUs represent individual tasks or jobs in high-throughput computational workflows. In this context, they likely refer to units of computation for protein simulations.
protein mutations
Permanent alterations in the DNA sequence of a protein-coding gene.
Protein mutations are changes in the genetic code that can lead to variations in the amino acid sequence of a protein. These changes can affect protein function, stability, and interactions with other molecules.
Free Energy Calculations
A computational method used to predict the stability of biomolecular structures.
Free energy calculations are a powerful tool for understanding protein folding and interactions. By simulating the behavior of molecules at the atomic level, researchers can gain insights into how proteins function and how mutations affect their properties.
dimerization complex
A protein complex formed by the association of two identical or similar protein subunits.
Dimerization is a common mechanism for proteins to interact and function. Proteins can dimerize through various interactions, such as hydrogen bonds, hydrophobic interactions, and electrostatic forces.
RIPK2
Receptor-interacting serine/threonine-protein kinase 2
RIPK2 is a protein involved in the innate immune response. It plays a role in signaling pathways that activate inflammation and cell death.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:38:02|
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 | 6,851,308 | 1,910,059 | 3.59 | 6 hrs 41 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 5,833,444 | 1,746,460 | 3.34 | 7 hrs 11 mins |
| 3 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 3,449,871 | 1,478,213 | 2.33 | 10 hrs 17 mins |
| 4 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,428,539 | 1,473,704 | 2.33 | 10 hrs 19 mins |
| 5 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,314,241 | 1,292,508 | 1.79 | 13 hrs 24 mins |
| 6 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,690,831 | 1,280,276 | 1.32 | 18 hrs 10 mins |
| 7 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,400,442 | 1,633,012 | 0.86 | 27 hrs 59 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:38:02|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|