RESEARCH: ENZYME-DYNAMICS
FOLDING PROJECT #15416 PROFILE
PROJECT TEAM
Manager(s): Adrija DuttaInstitution: UIUC
WORK UNIT INFO
Atoms: 103,643Core: 0x24
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project looks at how enzymes change shape to bind with other molecules. By using computer simulations, scientists can see how small movements in the enzyme's active site affect its ability to attach to things like drugs. This knowledge can help us design better medicines and understand how proteins work.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Protein function is closely linked to its dynamic structural behavior, particularly in regions involved in molecular recognition.
Using large-scale molecular dynamics simulations, we are studying intrinsic conformational variability across a diverse set of enzymes.
By analyzing binding pocket flexibility, structural rearrangements, and transient conformations, we aim to understand how active-site dynamics influence ligand binding.
These insights can support advances in drug discovery, enzyme engineering, and a deeper understanding of protein function.
RELATED TERMS GLOSSARY AI BETA
Protein
Large biomolecules essential for various biological functions.
Proteins are complex molecules that play vital roles in all living organisms. They perform a wide range of functions, including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating cellular processes.
Molecular
Relating to molecules or their interactions.
Molecular refers to anything at the level of individual atoms and molecules. This is often used in biology to describe interactions between molecules like proteins and DNA.
Dynamics
The motion and behavior of systems over time.
Dynamics describes how things move and change. In biology, this is often used to describe the movement of molecules or parts of cells.
Simulations
Computer-based models used to study complex systems.
Simulations are like computer experiments. Scientists use them to study things that are hard to observe in real life, like how molecules interact.
Enzymes
Biological catalysts that speed up chemical reactions.
Enzymes are proteins that help speed up chemical reactions in living things. They're essential for processes like digestion and energy production.
Binding
The process of molecules attaching to each other.
Binding describes how molecules stick together. This is important for many biological processes, like how drugs interact with their targets.
Ligand
A molecule that binds to a receptor or other target.
A ligand is a molecule that can bind to another molecule, like a drug binding to a protein in the body.
Drug Discovery
The process of identifying and developing new medications.
Drug discovery is a complex process that involves finding new molecules that can treat diseases. This often includes testing thousands of compounds to find those that are effective and safe.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:31:35|
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 5080 GB203 [GeForce RTX 5080] |
Nvidia | GB203 | 23,130,957 | 51,310 | 450.81 | 0 hrs 3 mins |
| 2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 19,003,913 | 51,310 | 370.37 | 0 hrs 4 mins |
| 3 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 6,823,904 | 51,310 | 132.99 | 0 hrs 11 mins |
| 4 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 5,266,955 | 51,310 | 102.65 | 0 hrs 14 mins |
| 5 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 4,727,115 | 51,310 | 92.13 | 0 hrs 16 mins |
| 6 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 4,212,224 | 51,310 | 82.09 | 0 hrs 18 mins |
| 7 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,816,476 | 51,310 | 74.38 | 0 hrs 19 mins |
| 8 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,189,325 | 51,310 | 62.16 | 0 hrs 23 mins |
| 9 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,845,638 | 223,773 | 12.72 | 1 hrs 53 mins |
| 10 | Radeon RX 9060(XT) Navi 44 [Radeon RX 9060(XT)] |
AMD | Navi 44 | 2,432,113 | 51,310 | 47.40 | 0 hrs 30 mins |
| 11 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,348,993 | 51,310 | 45.78 | 0 hrs 31 mins |
| 12 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 2,339,719 | 51,310 | 45.60 | 0 hrs 32 mins |
| 13 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,163,574 | 166,782 | 12.97 | 1 hrs 51 mins |
| 14 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,366,267 | 51,310 | 26.63 | 0 hrs 54 mins |
| 15 | Quadro M5000 GM204GL [Quadro M5000] |
Nvidia | GM204GL | 384,225 | 51,310 | 7.49 | 3 hrs 12 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:31:35|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|