RESEARCH: CANCER
FOLDING PROJECT #17625 PROFILE

PROJECT TEAM

Manager(s): Sukrit Singh
Institution: Memorial Sloan-Kettering Cancer-Center
Project URL: View Project Website

WORK UNIT INFO

Atoms: 329,840
Core: 0x22
Status: Public

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

Note: Glossary items are a high level summary and may not be 100% accurate.

FEC

Free Energy Calculations

Acronym: Pharmaceuticals
Biotechnology / Protein Engineering

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

Acronym: Pharmaceuticals
Biotechnology / Computational Biology

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.

Scientific: Pharmaceuticals
Biotechnology / Molecular Biology

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.

Scientific: Pharmaceuticals
Biotechnology / Molecular Biology

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.

Scientific: Pharmaceuticals
Biotechnology / Molecular Biology

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.

Gene/Protein Name: Pharmaceuticals
Biotechnology / Immunology

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