Research section Research projects and references

Research: CANCER Folding Project #17620

Project #17620 overview

Project Summary AI Beta

Scientists are now running bigger tests to study how changes in proteins affect their ability to work together. This project focuses on a complex protein called RIPK2, which forms pairs with other proteins. By making different changes to RIPK2, researchers can see how these alterations impact its function.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Sukrit Singh
Institution
Memorial Sloan-Kettering Cancer-Center

Work unit

Atoms
329,840
Core
0x22
Status
Public
Source material

Official 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.

Performance data

Hardware Performance for Project 17620

Compare community-sampled Folding@Home output for the GPUs and CPUs processing this project.

Data as of Friday, 14 August 2026 15:32:05

GPU PPD Averages

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 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 6,098,521 1,785,670 3.42 7 hrs 2 mins
2 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 3,978,583 1,545,968 2.57 9 hrs 20 mins
3 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,304,775 1,290,915 1.79 13 hrs 27 mins
4 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,656,332 1,634,391 1.01 23 hrs 41 mins