Research section Research projects and references

Research: CANCER Folding Project #13012

Project #13012 overview

Project Summary AI Beta

This project looks at how fluorescent proteins bind to rare earth elements. They want to make a new type of fluorescent protein that grabs onto specific rare earth elements even better than existing ones. This could help us detect diseases like cancer earlier and develop new medicines.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Lin Zhu
Institution
the University of Illinois Urbana-Champaign

Work unit

Atoms
60,000
Core
0x24
Status
Public
Source material

Official Project Description

Super-Charged Fluorescent Protein Design Rare earth elements play vital roles in various biological processes, and their detection using fluorescent proteins could advance biomedical research and diagnostics.

By developing more sensitive and specific sensors for rare earth elements, this project could contribute to the early detection of diseases, such as cancer and neurodegenerative disorders, where abnormal levels of certain elements are often observed.

Moreover, the enhanced understanding of binding mechanisms between fluorescent proteins and rare earth elements could lead to the development of novel therapeutic agents or drug delivery systems tailored to target specific cellular pathways or tissues, thereby potentially improving treatment outcomes and patient well-being.

This project aims to investigate the binding mechanism of supercharged fluorescent proteins for capturing rare earth elements and then design a new variant of fluorescent protein that exhibits stronger binding affinity for specific rare earth elements than existing fluorescent proteins.
In this project, there are 100 double mutant systems of yellow fluorescent protein with a negative charge of 31.

Performance data

Hardware Performance for Project 13012

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

Data as of Friday, 14 August 2026 15:42:18

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 10,518,552 570,079 18.45 1 hrs 18 mins
2 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 8,653,350 89,042 97.18 0 hrs 15 mins
3 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 6,582,105 487,323 13.51 1 hrs 47 mins
4 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 5,681,400 89,042 63.81 0 hrs 23 mins
5 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 5,233,644 89,042 58.78 0 hrs 24 mins
6 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 5,060,642 449,357 11.26 2 hrs 8 mins
7 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,341,025 289,301 15.01 1 hrs 36 mins
8 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,470,074 89,042 38.97 0 hrs 37 mins
9 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 3,234,824 89,042 36.33 0 hrs 40 mins
10 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,210,399 385,251 8.33 2 hrs 53 mins
11 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 3,016,705 376,621 8.01 2 hrs 60 mins
12 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 Super]
Nvidia TU106 3,008,632 89,042 33.79 0 hrs 43 mins
13 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 2,724,326 89,042 30.60 0 hrs 47 mins
14 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,081,625 255,772 8.14 2 hrs 57 mins
15 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,600,992 305,273 5.24 4 hrs 35 mins
16 GeForce RTX 2060 Mobile / Max-Q
TU106M [GeForce RTX 2060 Mobile / Max-Q]
Nvidia TU106M 1,570,715 89,042 17.64 1 hrs 22 mins
17 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,480,162 89,042 16.62 1 hrs 27 mins
18 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,205,239 276,548 4.36 5 hrs 30 mins
19 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,166,883 289,619 4.03 5 hrs 57 mins
20 GeForce GTX 1070 Mobile
GP104BM [GeForce GTX 1070 Mobile] 6463
Nvidia GP104BM 1,134,554 89,042 12.74 1 hrs 53 mins
21 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 797,076 238,578 3.34 7 hrs 11 mins
22 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 432,682 89,042 4.86 4 hrs 56 mins
23 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 103,305 89,042 1.16 20 hrs 41 mins
24 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 90,760 89,042 1.02 23 hrs 33 mins