Research section Research projects and references

Research: PEPTIDE-CONFORMATION-MODELING Folding Project #12105

Project #12105 overview

Project Summary AI Beta

This project explores the different shapes short peptides can take. By using computer models and machine learning, we can understand how these shapes affect their function. This knowledge can then be used to design new peptides for things like innovative materials.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Hassan Nadeem
Institution
University of Illinois at Urbana-Champaign

Work unit

Atoms
41,000
Core
0x22
Status
Public
Source material

Official Project Description

Peptide Conformations Short peptides can be used to observe possible conformations, which are important factors for determining their function.

Insights from these simulations can then be further extended to larger peptides.

In this study, we aim to explore the conformational space of all possible short peptides and using modeling techniques like machine learning to gain insights.

These can then be used for rational design of peptides for applications in biologically-inspired materials.

Performance data

Hardware Performance for Project 12105

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

Data as of Sunday, 02 August 2026 22:11:58

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 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 3,172,521 406,173 7.81 3 hrs 4 mins
2 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,628,631 376,214 6.99 3 hrs 26 mins
3 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 2,237,841 354,796 6.31 3 hrs 48 mins
4 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 1,982,259 347,605 5.70 4 hrs 13 mins
5 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,689,615 331,351 5.10 4 hrs 42 mins
6 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,448,430 309,256 4.68 5 hrs 7 mins
7 P102-100
GP102 [P102-100]
Nvidia GP102 1,356,068 297,492 4.56 5 hrs 16 mins
8 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,321,090 301,072 4.39 5 hrs 28 mins
9 P104-100
GP104 [P104-100]
Nvidia GP104 1,315,194 302,603 4.35 5 hrs 31 mins
10 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,302,360 297,857 4.37 5 hrs 29 mins
11 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,191,216 303,667 3.92 6 hrs 7 mins
12 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 1,159,667 303,833 3.82 6 hrs 17 mins
13 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 884,179 265,837 3.33 7 hrs 13 mins
14 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 878,539 264,902 3.32 7 hrs 14 mins
15 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 869,242 254,673 3.41 7 hrs 2 mins
16 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 733,503 235,484 3.11 7 hrs 42 mins
17 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 646,525 222,373 2.91 8 hrs 15 mins
18 GeForce GTX 1650
TU116 [GeForce GTX 1650] 3091
Nvidia TU116 581,277 238,156 2.44 9 hrs 50 mins
19 GeForce GTX 1060 Mobile
GP106M [GeForce GTX 1060 Mobile]
Nvidia GP106M 498,335 142,988 3.49 6 hrs 53 mins
20 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 449,377 211,621 2.12 11 hrs 18 mins
21 GeForce GTX 960
GM206 [GeForce GTX 960] 2308
Nvidia GM206 323,989 187,405 1.73 13 hrs 53 mins
22 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 312,453 209,306 1.49 16 hrs 5 mins
23 GeForce GTX 950
GM206 [GeForce GTX 950] 1572
Nvidia GM206 234,501 170,728 1.37 17 hrs 28 mins
24 RX 5500/5500M/Pro 5500M
Navi 14 [RX 5500/5500M/Pro 5500M]
AMD Navi 14 181,338 145,827 1.24 19 hrs 18 mins
25 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 102,992 120,663 0.85 28 hrs 7 mins