Research section Research projects and references

Research: PEPTIDE-CONFORMATION-MODELING Folding Project #12100

Project #12100 overview

Project Summary AI Beta

This project relates to figuring out how short chains of amino acids (peptides) fold into different shapes. By using computer models, researchers hope to understand all the possible shapes peptides can take and use this knowledge to design new peptides for things like building materials inspired by nature.
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
4,745
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 12100

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

Data as of Sunday, 02 August 2026 22:12:03

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 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 13,963,271 366,114 38.14 0 hrs 38 mins
2 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,568,585 48,127 32.59 0 hrs 44 mins
3 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 1,148,999 44,349 25.91 0 hrs 56 mins
4 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 796,466 39,441 20.19 1 hrs 11 mins
5 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 682,917 37,091 18.41 1 hrs 18 mins