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Research: CANCER Folding Project #15005

Project #15005 overview

Project Summary AI Beta

This project relates to improving how proteins called transcription factors work. These factors control our genes and can be affected by mutations. By simulating different changes in a specific factor (WRINKLED1), researchers hope to find the best ones to boost its activity and potentially treat diseases like cancer.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Nathan Tvedt
Institution
University of Illinois at Urbana Champaign

Work unit

Atoms
73,672
Core
0x27
Status
Beta

No related projects listed.

Source material

Official Project Description

DNA transcription factors regulate activity of genes, by binding to regions of DNA and either promoting or preventing gene transcription.

One of the most fundamental tasks for life, we are interested in studying how to improve binding by transcription factors to increase their activity.

This applies to many diseases, including cancer, but also other biological applications.

We are simulating many mutations of an example transcription factor WRINKLED1, and selecting the best to experimentally verify.

Performance data

Hardware Performance for Project 15005

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

Data as of Wednesday, 23 September 2026 18:30:17

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
GA102 [GeForce RTX 3080]		 Nvidia GA102 8,193,812 20,000 409.69 0 hrs 4 mins
2 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]		 Nvidia GA104 5,508,635 20,000 275.43 0 hrs 5 mins
3 Intel Arc B580 Graphics
Battlemage G21 [Intel Arc B580 Graphics]		 Intel Battlemage G21 3,580,085 20,000 179.00 0 hrs 8 mins
4 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]		 Nvidia GA104 3,551,516 20,000 177.58 0 hrs 8 mins
5 GeForce RTX 2060
TU106 [Geforce RTX 2060]		 Nvidia TU106 1,945,332 57,038 34.11 0 hrs 42 mins
6 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873		 Nvidia GP104 1,823,348 102,752 17.75 1 hrs 21 mins
7 RTX A2000 12GB
GA106 [RTX A2000 12GB]		 Nvidia GA106 1,642,504 20,000 82.13 0 hrs 18 mins
8 GeForce RTX 3050 Ti Mobile
GA107M [GeForce RTX 3050 Ti Mobile]		 Nvidia GA107M 1,018,415 20,000 50.92 0 hrs 28 mins
9 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862		 Nvidia GP107 393,345 20,000 19.67 1 hrs 13 mins
10 GeForce GTX 1070 Mobile
GP104BM [GeForce GTX 1070 Mobile] 6463		 Nvidia GP104BM 194,870 20,000 9.74 2 hrs 28 mins