RESEARCH: CANCER
FOLDING PROJECT #17619 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

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

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

FEC

Free Energy Calculations

Acronym: Pharmaceuticals
Biotechnology / Protein Engineering

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

Acronym: Pharmaceuticals
Biotechnology / Computational Biology

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.

Technical: Pharmaceuticals
Biotechnology / Structural Biology

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.

Technical: Pharmaceuticals
Biotechnology / Computational Biology

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.

Technical: Pharmaceuticals
Biotechnology / Structural Biology

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

Protein Name: Pharmaceuticals
Biotechnology / Immunology

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