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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, 04 November 2026 00:30:17

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 3090
GA102 [GeForce RTX 3090]		 Nvidia GA102 8,909,115 173,809 51.26 0 hrs 28 mins
2 GeForce RTX 3080
GA102 [GeForce RTX 3080]		 Nvidia GA102 8,259,038 20,000 412.95 0 hrs 3 mins
3 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448		 Nvidia TU102 7,503,897 20,000 375.19 0 hrs 4 mins
4 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]		 Nvidia GA102 7,183,893 20,000 359.19 0 hrs 4 mins
5 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]		 Nvidia GA104 5,026,493 20,000 251.32 0 hrs 6 mins
6 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]		 Nvidia GA104 4,808,316 20,000 240.42 0 hrs 6 mins
7 GeForce RTX 3070
GA104 [GeForce RTX 3070]		 Nvidia GA104 4,195,786 20,000 209.79 0 hrs 7 mins
8 GeForce RTX 4060
AD107 [GeForce RTX 4060]		 Nvidia AD107 3,619,198 20,000 180.96 0 hrs 8 mins
9 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
10 Intel Arc B580 Graphics
Battlemage G21 [Intel Arc B580 Graphics]		 Intel Battlemage G21 3,128,472 20,000 156.42 0 hrs 9 mins
11 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]		 Nvidia GA104 2,919,463 20,000 145.97 0 hrs 10 mins
12 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]		 Nvidia TU106 2,080,811 104,294 19.95 1 hrs 12 mins
13 GeForce RTX 2060
TU106 [Geforce RTX 2060]		 Nvidia TU106 1,977,759 97,716 20.24 1 hrs 11 mins
14 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873		 Nvidia GP104 1,785,340 102,066 17.49 1 hrs 22 mins
15 RTX A2000 12GB
GA106 [RTX A2000 12GB]		 Nvidia GA106 1,642,504 20,000 82.13 0 hrs 18 mins
16 RTX 500 Ada Generation Laptop GPU
AD107GLM [RTX 500 Ada Generation Laptop GPU]		 Unknown AD107GLM 1,456,749 20,000 72.84 0 hrs 20 mins
17 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]		 Nvidia GA106M 1,439,789 93,760 15.36 1 hrs 34 mins
18 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463		 Nvidia GP104 1,179,921 40,019 29.48 0 hrs 49 mins
19 GeForce RTX 3050 Ti Mobile
GA107M [GeForce RTX 3050 Ti Mobile]		 Nvidia GA107M 1,018,415 20,000 50.92 0 hrs 28 mins
20 GeForce GTX 1660
TU116 [GeForce GTX 1660]		 Nvidia TU116 929,713 20,000 46.49 0 hrs 31 mins
21 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862		 Nvidia GP107 378,291 20,000 18.91 1 hrs 16 mins
22 GeForce GTX 1070 Mobile
GP104BM [GeForce GTX 1070 Mobile] 6463		 Nvidia GP104BM 233,471 20,000 11.67 2 hrs 3 mins