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Research: CANCER Folding Project #12925

Project #12925 overview

Project Summary AI Beta

Proteins need to fold correctly to work. Sometimes changes in their DNA (mutations) mess up this folding and cause diseases like cancer or Alzheimer's. This project looks at how specific mutations affect how tightly packed proteins are, helping us understand why some proteins break down easily when it's hot.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Diego Kleiman
Institution
University of Illinois Urbana-Champaign

Work unit

Atoms
671,031
Core
0x23
Status
Public
Source material

Official Project Description

Protein misfolding occurs when a peptide cannot fold into its native structure.

Mutations in the protein sequence may cause alterations of the native folded conformation, leading to diseases such as cancer and Alzheimer's.

Understanding protein misfolding as a function of mutations is currently one of the biggest challenges in the biological sciences.

This project is concerned with characterizing the effect of specific mutations on the hydrophobic packing of proteins at different temperatures to predict thermostability.

Performance data

Hardware Performance for Project 12925

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

Data as of Sunday, 02 August 2026 22:08:04

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 5090
GB202 [GeForce RTX 5090]		 Nvidia GB202 53,379,050 186,000 286.98 0 hrs 5 mins
2 GeForce RTX 4090
AD102 [GeForce RTX 4090]		 Nvidia AD102 34,193,551 663,977 51.50 0 hrs 28 mins
3 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]		 Nvidia AD103 28,171,384 186,000 151.46 0 hrs 10 mins
4 GeForce RTX 4080
AD103 [GeForce RTX 4080]		 Nvidia AD103 26,541,858 354,829 74.80 0 hrs 19 mins
5 GeForce RTX 5070 Ti
GB203 [GeForce RTX 5070 Ti]		 Nvidia GB203 19,260,191 186,000 103.55 0 hrs 14 mins
6 GeForce RTX 5080
GB203 [GeForce RTX 5080]		 Nvidia GB203 16,721,967 186,000 89.90 0 hrs 16 mins
7 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]		 Nvidia AD104 16,522,376 1,078,894 15.31 1 hrs 34 mins
8 GeForce RTX 5070
GB205 [GeForce RTX 5070]		 Nvidia GB205 14,904,094 186,000 80.13 0 hrs 18 mins
9 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]		 Nvidia AD104 13,824,064 363,988 37.98 0 hrs 38 mins
10 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]		 Nvidia GA102 10,329,168 926,292 11.15 2 hrs 9 mins
11 GeForce RTX 3090
GA102 [GeForce RTX 3090]		 Nvidia GA102 10,253,241 921,195 11.13 2 hrs 9 mins
12 GeForce RTX 4070
AD104 [GeForce RTX 4070]		 Nvidia AD104 9,274,950 186,000 49.87 0 hrs 29 mins
13 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448		 Nvidia TU102 6,149,952 186,000 33.06 0 hrs 44 mins
14 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]		 Nvidia GA104 6,049,330 774,774 7.81 3 hrs 4 mins
15 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]		 AMD Navi 31 5,726,549 186,000 30.79 0 hrs 47 mins
16 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]		 Nvidia GA104 4,071,002 186,000 21.89 1 hrs 6 mins
17 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218		 Nvidia TU104 3,515,865 615,004 5.72 4 hrs 12 mins
18 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]		 Nvidia TU104 3,402,169 640,452 5.31 4 hrs 31 mins
19 Intel Arc B580 Graphics
Battlemage G21 [Intel Arc B580 Graphics]		 Intel Battlemage G21 3,244,395 636,054 5.10 4 hrs 42 mins