Research section Research projects and references

Research: CANCER Folding Project #12923

Project #12923 overview

Project Summary AI Beta

Proteins are like tiny machines with specific shapes. Sometimes, changes in their instructions (mutations) can make them fold wrong, causing diseases like cancer and Alzheimer's. This project studies how these changes affect the stability of proteins at different temperatures.
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 12923

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

Data as of Sunday, 02 August 2026 22:08:06

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 46,308,778 186,000 248.97 0 hrs 6 mins
2 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 32,037,114 836,974 38.28 0 hrs 38 mins
3 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 28,793,929 186,000 154.81 0 hrs 9 mins
4 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 27,270,069 186,000 146.61 0 hrs 10 mins
5 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 16,156,265 1,071,707 15.08 1 hrs 36 mins
6 GeForce RTX 5080
GB203 [GeForce RTX 5080]
Nvidia GB203 15,938,331 186,000 85.69 0 hrs 17 mins
7 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 12,914,427 280,713 46.01 0 hrs 31 mins
8 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 10,746,579 937,919 11.46 2 hrs 6 mins
9 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 9,289,087 397,497 23.37 1 hrs 2 mins
10 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 8,144,599 855,716 9.52 2 hrs 31 mins
11 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 7,993,754 843,705 9.47 2 hrs 32 mins
12 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 7,044,504 186,000 37.87 0 hrs 38 mins
13 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 5,370,045 741,315 7.24 3 hrs 19 mins
14 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,844,365 466,661 10.38 2 hrs 19 mins
15 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 4,031,217 186,000 21.67 1 hrs 6 mins
16 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,544,059 186,000 13.68 1 hrs 45 mins