Research section Research projects and references

Research: CANCER Folding Project #12016

Project #12016 overview

Project Summary AI Beta

This project relates to Class A GPCRs, proteins that act like 'molecular telephones' in our bodies, controlling many important functions. Since 35% of approved drugs target them, studying how they work can lead to better treatments for 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
229,510
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 12016

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

Data as of Sunday, 02 August 2026 22:12:06

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 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 21,163,962 491,279 43.08 0 hrs 33 mins
2 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 14,400,891 435,833 33.04 0 hrs 44 mins
3 GeForce RTX 3090 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 11,231,822 405,523 27.70 0 hrs 52 mins
4 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 10,173,633 390,640 26.04 0 hrs 55 mins
5 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 10,025,386 392,958 25.51 0 hrs 56 mins
6 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 8,682,698 373,249 23.26 1 hrs 2 mins
7 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 6,711,852 343,155 19.56 1 hrs 14 mins
8 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 5,160,117 313,598 16.45 1 hrs 28 mins
9 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,949,016 305,711 16.19 1 hrs 29 mins
10 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,052,534 290,180 13.97 1 hrs 43 mins
11 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 3,969,079 289,073 13.73 1 hrs 45 mins
12 Radeon RX 6900 XT
Navi 21 [Radeon RX 6900 XT]
AMD Navi 21 3,758,242 285,432 13.17 1 hrs 49 mins
13 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,458,317 275,217 12.57 1 hrs 55 mins
14 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,868,414 259,831 11.04 2 hrs 10 mins
15 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 2,032,019 231,950 8.76 2 hrs 44 mins
16 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 1,901,896 224,441 8.47 2 hrs 50 mins