RESEARCH: PEPTIDE-CONFORMATION-MODELING
FOLDING PROJECT #12102 PROFILE
PROJECT TEAM
Manager(s): Hassan NadeemInstitution: University of Illinois at Urbana-Champaign
WORK UNIT INFO
Atoms: 4,745Core: 0x22
Status: Public
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TLDR; PROJECT SUMMARY AI BETA
This project looks at how short chains of amino acids (peptides) fold into different shapes. By understanding these shapes, we can design new peptides for use 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
Peptide
A short chain of amino acids linked together.
Peptides are small chains of amino acids, the building blocks of proteins. They play various roles in biological systems, including acting as hormones, enzymes, and signaling molecules.
Conformations
The different three-dimensional shapes that a molecule can take.
Conformations refer to the various 3D shapes a molecule can adopt. This is particularly important for proteins, as their shape determines their function.
Simulations
Computer models used to study complex systems.
Simulations use computer programs to mimic real-world processes. In biotechnology, simulations are used to study protein folding, drug interactions, and other biological phenomena.
Machine Learning
A type of artificial intelligence that allows computers to learn from data.
Machine learning is a branch of artificial intelligence where algorithms are trained on large datasets to identify patterns and make predictions. It's increasingly used in biotechnology for tasks like drug discovery and protein design.
Rational Design
A systematic approach to designing molecules with specific properties.
Rational design uses knowledge of molecular structures and interactions to create new molecules with desired characteristics. This is commonly used in drug development to design more effective and safer medications.
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 | 2,909,808 | 66,828 | 43.54 | 0 hrs 33 mins |
| 2 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,875,343 | 73,712 | 25.44 | 0 hrs 57 mins |
| 3 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,770,302 | 55,408 | 31.95 | 0 hrs 45 mins |
| 4 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 1,306,028 | 51,209 | 25.50 | 0 hrs 56 mins |
| 5 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 932,530 | 45,965 | 20.29 | 1 hrs 11 mins |
| 6 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 815,589 | 43,539 | 18.73 | 1 hrs 17 mins |
| 7 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 304,430 | 31,772 | 9.58 | 2 hrs 30 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 |
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