RESEARCH: PEPTIDE-CONFORMATION-MODELING
FOLDING PROJECT #12101 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 4,745
Core: 0x22
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project explores how short chains of amino acids (peptides) fold into different shapes. By using computer models and machine learning, scientists hope to understand how these shapes affect the peptides' functions. This knowledge can then be used to design new peptides for applications in things like bio-inspired materials.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL 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.

RELATED TERMS GLOSSARY AI BETA

Note: Glossary items are a high level summary and may not be 100% accurate.

Peptide

A short chain of amino acids linked together.

Scientific: Pharmaceuticals
Biotechnology / Protein Engineering

Peptides are chains of amino acids, the building blocks of proteins. They play various roles in biological systems, including signaling and enzymatic activity. Studying peptide conformations helps understand how they fold and function.


Conformations

The different 3-dimensional shapes that a molecule can adopt.

Scientific: Pharmaceuticals
Biotechnology / Structural Biology

Conformations refer to the various ways a molecule can fold and arrange its atoms. Understanding these shapes is crucial for comprehending how molecules interact and function.


Simulations

Computer-based models that mimic real-world processes.

Technical: Pharmaceuticals
Biotechnology / Computational Biology

Simulations use computer programs to recreate and study complex systems. In biomedicine, they are used to model molecular interactions, protein folding, and drug effects.


Machine Learning

A type of artificial intelligence that allows computers to learn from data.

Technical: Pharmaceuticals
Biotechnology / Data Science

Machine learning algorithms enable computers to analyze vast datasets and identify patterns. In biotechnology, it's used for drug discovery, protein design, and disease prediction.


Rational Design

The process of designing molecules with specific properties.

Scientific: Pharmaceuticals
Biotechnology / Drug Discovery

Rational design involves using scientific knowledge and computational tools to create molecules that target specific biological pathways. It's a crucial approach for developing new drugs and therapies.


Biologically-Inspired Materials

Materials that mimic the structures and functions of biological systems.

Scientific: Manufacturing
Materials Science / Biomimetics

Biologically-inspired materials draw inspiration from nature's designs to create innovative products. Examples include self-healing materials and biocompatible implants.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:35:54
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 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,488,432 59,897 41.55 0 hrs 35 mins
2 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 2,436,926 80,808 30.16 0 hrs 48 mins
3 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,631,556 51,061 31.95 0 hrs 45 mins
4 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,513,806 51,088 29.63 0 hrs 49 mins
5 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 1,205,548 46,955 25.67 0 hrs 56 mins
6 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 837,532 41,759 20.06 1 hrs 12 mins
7 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 747,101 39,945 18.70 1 hrs 17 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:35:54
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make