RESEARCH: PEPTIDE-CONFORMATION-MODELING
FOLDING PROJECT #12100 PROFILE
PROJECT TEAM
Manager(s): Hassan NadeemInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 4,745Core: 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
Peptide
A short chain of amino acids linked together.
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.
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.
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.
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.
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.
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 |
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