RESEARCH: CANCER
FOLDING PROJECT #17628 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 using powerful computer simulations to study how changes in proteins affect their ability to interact with each other. This is done by simulating mutations in a complex protein pair called RIPK2, which is important for immune system function.
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 of protein structures and interactions. FEC helps researchers understand how mutations affect protein folding and function.
WUs
Work Units
Work Units (WUs) are individual tasks or jobs assigned to computational resources in high-throughput screening and simulations. In bioinformatics, WUs often involve protein analysis, drug discovery, or genomic data processing.
Mutations
Permanent alterations in the DNA sequence.
Mutations are changes in the genetic code (DNA) that can alter the function of genes. They can be caused by errors during DNA replication, exposure to radiation or chemicals, or inherited from parents. Mutations can have various effects on organisms, ranging from being harmless to causing diseases.
Protein
Large biomolecules essential for diverse biological functions.
Proteins are complex molecules made up of amino acids that perform a vast array of functions in living organisms. They act as enzymes catalyzing biochemical reactions, transport molecules across cell membranes, provide structural support, and participate in immune responses.
Dimerization
The process of two molecules binding together to form a stable complex.
Dimerization is the formation of a dimer, which is a pair of identical or similar molecules that associate non-covalently. Dimerization plays crucial roles in protein function, cell signaling, and gene regulation.
Complex
A group of interacting molecules that work together to perform a specific function.
A protein complex is a collection of multiple proteins that associate to carry out a particular biological process. These complexes often exhibit high specificity and cooperativity, allowing for intricate regulation and control of cellular activities.
RIPK2
Receptor-interacting protein kinase 2
RIPK2 is a protein kinase involved in the innate immune response. It plays a crucial role in signaling pathways triggered by pathogen recognition receptors, leading to inflammation and cell death.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:37:48|
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 | 8,272,505 | 1,974,724 | 4.19 | 5 hrs 44 mins |
| 2 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 6,506,508 | 1,877,763 | 3.47 | 6 hrs 56 mins |
| 3 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,378,193 | 1,598,937 | 2.74 | 8 hrs 46 mins |
| 4 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 4,326,485 | 1,201,616 | 3.60 | 6 hrs 40 mins |
| 5 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 4,308,217 | 1,331,285 | 3.24 | 7 hrs 25 mins |
| 6 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 3,529,830 | 1,484,336 | 2.38 | 10 hrs 6 mins |
| 7 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,892,402 | 1,249,326 | 2.32 | 10 hrs 22 mins |
| 8 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 1,816,546 | 1,214,947 | 1.50 | 16 hrs 3 mins |
| 9 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,194,813 | 1,166,554 | 1.02 | 23 hrs 26 mins |
| 10 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,132,241 | 962,295 | 1.18 | 20 hrs 24 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:37:48|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|