Research section Research projects and references

Research: CANCER Folding Project #12015

Project #12015 overview

Project Summary AI Beta

This project relates to Class A GPCRs, which are important targets for many medicines. These proteins act like cellular communication systems, sending signals within the body. Understanding how they work can help create new drugs to treat diseases like cancer, diabetes, depression, and anxiety.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Prateek Bansal
Institution
University of Illinois Urbana-Champaign

Work unit

Atoms
218,675
Core
0x22
Status
Public
Source material

Official Project Description

Class A GPCRs: Class A GPCRs are pivotal drug targets in our body, as they are involved in regulating almost all homeostatic processes in the human body.

It is estimated that around 35% of all drugs currently approved by the FDA target one of these GPCRs.

These proteins act like 'molecular telephones' and transmit signals from outside the cell to inside the cell.

Here, we aim to study the process that underlies their action on our body.

This is integral for providing insights into the protein's function and design better and new drugs targeting cancer, diabetes, depression and anxiety.

Performance data

Hardware Performance for Project 12015

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

Data as of Sunday, 02 August 2026 22:12:07

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 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 19,809,094 446,214 44.39 0 hrs 32 mins
2 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 14,549,816 411,512 35.36 0 hrs 41 mins
3 GeForce RTX 3090 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 11,336,148 383,990 29.52 0 hrs 49 mins
4 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 10,451,257 373,190 28.01 0 hrs 51 mins
5 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 9,917,849 366,258 27.08 0 hrs 53 mins
6 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 8,044,963 343,936 23.39 1 hrs 2 mins
7 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 7,771,897 339,249 22.91 1 hrs 3 mins
8 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 5,514,030 296,591 18.59 1 hrs 17 mins
9 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 4,640,240 277,416 16.73 1 hrs 26 mins
10 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,523,068 282,137 16.03 1 hrs 30 mins
11 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,189,711 275,316 15.22 1 hrs 35 mins
12 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,504,425 259,219 13.52 1 hrs 47 mins
13 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,264,114 253,907 12.86 1 hrs 52 mins
14 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 3,173,024 251,202 12.63 1 hrs 54 mins
15 RTX A2000
GA106 [RTX A2000]
Nvidia GA106 1,517,010 197,586 7.68 3 hrs 8 mins
16 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,436,480 194,252 7.39 3 hrs 15 mins
17 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,419,518 193,296 7.34 3 hrs 16 mins
18 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,262,509 187,697 6.73 3 hrs 34 mins
19 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 750,673 58,500 12.83 1 hrs 52 mins