RESEARCH: PEPTIDE-CONFORMATION-MODELING
FOLDING PROJECT #12100 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 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.

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: Pharmaceutical Research
Biotechnology / Biochemistry

Peptides are chains of amino acids, the building blocks of proteins. They play various roles in the body, such as signaling and transporting molecules. Studying peptide conformations helps understand how they function and interact with other molecules.


Conformations

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

Scientific: Pharmaceutical Research
Biotechnology / Structural Biology

Conformations refer to the various 3D shapes a molecule can take. For peptides, these shapes influence their function and interactions with other molecules. Understanding peptide conformations is crucial for designing effective drugs and materials.


Simulations

Computer models used to mimic real-world processes.

Scientific: Pharmaceutical Research
Biotechnology / Computational Biology

Simulations use computer programs to recreate biological systems and processes. In peptide research, simulations help predict how peptides fold and interact, providing insights into their function.


Machine Learning

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

Technical: Biotechnology
Computer Science / Artificial Intelligence

Machine learning is a powerful tool used in various fields, including biotechnology. It enables computers to analyze large datasets and identify patterns, which can be applied to predict peptide conformations and design new drugs.


Rational Design

The process of designing molecules with specific properties using scientific knowledge.

Scientific: Pharmaceutical Research
Biotechnology / Drug Discovery

Rational design involves using our understanding of biological systems to create molecules with desired functions. In peptide research, this approach can be used to develop peptides for targeted therapies and other applications.


Biologically-Inspired Materials

Materials designed based on principles found in nature.

Scientific: Nanotechnology
Materials Science / Biomimicry

Biologically-inspired materials draw inspiration from natural structures and processes. Peptide-based materials can mimic the properties of tissues or create new functionalities, leading to advancements in fields like medicine and engineering.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:35:55
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

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:35:55
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make