Folding.LAR.Systems Folding.LAR.Systems Folding.LAR.Systems Folding.LAR.Systems
Research section Research projects and references
  1. Projects
  2. Research Project Folding Profile

Research: PARKINSONS Folding Project #15101

Project #15101 overview

Project Summary AI Beta

This project uses computer simulations to study how the noradrenaline transporter (NET) works. NET is a protein that helps control mood and pain, and understanding how it works could lead to better antidepressants and painkillers.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Ning Wang
Institution
University of Illinois Urbana-Champaign

Work unit

Atoms
155,646
Core
0x23
Status
Public
Source material

Official Project Description

These projects involve simulations of the noradrenaline transporter (NET), a key protein responsible for terminating noradrenergic signaling by using sodium and chloride gradients to drive the reuptake of noradrenaline into presynaptic neurons.

NET is a crucial pharmacological target for numerous antidepressants and analgesics.

The aim of these simulations is to unravel the molecular mechanisms underlying noradrenaline transport, providing insights that could facilitate the design of more effective drugs.

Performance data

Hardware Performance for Project 15101

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

Data as of Friday, 14 August 2026 15:39:26

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 11,409,261 262,035 43.54 0 hrs 33 mins
2 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]		 Nvidia GA102 11,161,333 316,410 35.27 0 hrs 41 mins
3 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]		 Nvidia GA102 8,198,089 284,131 28.85 0 hrs 50 mins
4 GeForce RTX 3080
GA102 [GeForce RTX 3080]		 Nvidia GA102 7,770,428 280,953 27.66 0 hrs 52 mins
5 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]		 AMD Navi 31 7,417,747 273,312 27.14 0 hrs 53 mins
6 GeForce RTX 2070
TU106 [GeForce RTX 2070]		 Nvidia TU106 7,190,388 120,479 59.68 0 hrs 24 mins
7 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]		 Nvidia GA104 6,338,339 262,026 24.19 0 hrs 60 mins
8 GeForce RTX 3070
GA104 [GeForce RTX 3070]		 Nvidia GA104 4,645,237 235,310 19.74 1 hrs 13 mins
9 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]		 Nvidia GA104 3,312,206 200,127 16.55 1 hrs 27 mins
10 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218		 Nvidia TU104 3,220,544 95,097 33.87 0 hrs 43 mins
11 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]		 Nvidia GA104 3,172,489 212,001 14.96 1 hrs 36 mins
12 GeForce RTX 4060
AD107 [GeForce RTX 4060]		 Nvidia AD107 3,136,005 206,890 15.16 1 hrs 35 mins
13 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]		 Nvidia GA106 2,857,161 201,720 14.16 1 hrs 42 mins
14 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]		 AMD Navi 21 2,529,120 188,081 13.45 1 hrs 47 mins
15 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]		 Nvidia GA106M 2,248,431 201,341 11.17 2 hrs 9 mins
16 GeForce RTX 2060
TU106 [Geforce RTX 2060]		 Nvidia TU106 2,228,061 187,858 11.86 2 hrs 1 mins
17 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]		 AMD Navi 22 XT-XL 2,226,863 44,013 50.60 0 hrs 28 mins
18 GeForce RTX 3050 8GB
GA107 [GeForce RTX 3050 8GB]		 Nvidia GA107 1,686,426 169,639 9.94 2 hrs 25 mins
19 RX 5600 OEM/5600XT/5700/5700XT
Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]		 AMD Navi 10 1,486,177 44,013 33.77 0 hrs 43 mins
20 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463		 Nvidia GP104 1,403,831 159,024 8.83 2 hrs 43 mins