RESEARCH: ENZYME-DYNAMICS
FOLDING PROJECT #15419 PROFILE
PROJECT TEAM
Manager(s): Adrija DuttaInstitution: UIUC
WORK UNIT INFO
Atoms: 263,915Core: 0x24
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project relates to understanding how enzymes work by looking at their shapes and how they change. By studying these changes, scientists hope to learn more about how drugs bind to enzymes and how to design better drugs.
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
A large biological molecule consisting of chains of amino acids.
Proteins are essential building blocks of living organisms. They perform a wide range of functions, including catalyzing biochemical reactions, transporting molecules, and providing structural support.
Molecular dynamics
A method for simulating the movement of atoms and molecules over time.
Molecular dynamics simulations are used to study the behavior of biological systems at the atomic level. By tracking the interactions between atoms, researchers can gain insights into how proteins fold, bind to other molecules, and carry out their functions.
Enzyme
A protein that catalyzes (speeds up) a biochemical reaction.
Enzymes are essential for all biological processes. They play a crucial role in metabolism, digestion, and DNA replication.
Binding pocket
A region on a protein where a molecule binds.
Binding pockets are often found in enzymes and receptors. They provide a specific site for molecules to interact with.
Ligand
A molecule that binds to a protein.
Ligands can be drugs, hormones, or other small molecules. They play a key role in signal transduction and cell regulation.
Drug discovery
The process of identifying and developing new medications.
Drug discovery is a complex and lengthy process that involves screening large libraries of compounds, testing their effectiveness in cells and animals, and conducting clinical trials in humans.
Enzyme engineering
The modification of enzymes to improve their function or create new properties.
Enzyme engineering has numerous applications in biotechnology, including the production of biofuels, pharmaceuticals, and industrial chemicals.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:31:33|
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 5090 GB202 [GeForce RTX 5090] |
Nvidia | GB202 | 34,900,709 | 206,010 | 169.41 | 0 hrs 8 mins |
| 2 | GeForce RTX 5080 GB203 [GeForce RTX 5080] |
Nvidia | GB203 | 21,851,818 | 206,010 | 106.07 | 0 hrs 14 mins |
| 3 | GeForce RTX 4090 AD102 [GeForce RTX 4090] |
Nvidia | AD102 | 21,594,951 | 375,220 | 57.55 | 0 hrs 25 mins |
| 4 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 19,259,598 | 407,817 | 47.23 | 0 hrs 30 mins |
| 5 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 18,341,615 | 960,091 | 19.10 | 1 hrs 15 mins |
| 6 | GeForce RTX 5070 Ti GB203 [GeForce RTX 5070 Ti] |
Nvidia | GB203 | 16,024,028 | 206,010 | 77.78 | 0 hrs 19 mins |
| 7 | GeForce RTX 5070 GB205 [GeForce RTX 5070] |
Nvidia | GB205 | 15,157,826 | 206,010 | 73.58 | 0 hrs 20 mins |
| 8 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 14,708,192 | 206,010 | 71.40 | 0 hrs 20 mins |
| 9 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 13,671,686 | 426,935 | 32.02 | 0 hrs 45 mins |
| 10 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 11,815,273 | 379,533 | 31.13 | 0 hrs 46 mins |
| 11 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 6,400,054 | 206,010 | 31.07 | 0 hrs 46 mins |
| 12 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 5,878,652 | 206,010 | 28.54 | 0 hrs 50 mins |
| 13 | GeForce RTX 5060 GB206 [GeForce RTX 5060] |
Nvidia | GB206 | 5,772,757 | 206,010 | 28.02 | 0 hrs 51 mins |
| 14 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 5,065,594 | 206,010 | 24.59 | 0 hrs 59 mins |
| 15 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 5,064,956 | 206,010 | 24.59 | 0 hrs 59 mins |
| 16 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,498,638 | 206,010 | 21.84 | 1 hrs 6 mins |
| 17 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 3,510,012 | 603,261 | 5.82 | 4 hrs 7 mins |
| 18 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,381,105 | 206,010 | 16.41 | 1 hrs 28 mins |
| 19 | GeForce RTX 5060 Ti GB206 [GeForce RTX 5060 Ti] |
Nvidia | GB206 | 3,308,377 | 206,010 | 16.06 | 1 hrs 30 mins |
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| 20 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,275,372 | 206,010 | 15.90 | 1 hrs 31 mins |
| 21 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 2,418,031 | 206,010 | 11.74 | 2 hrs 3 mins |
| 22 | GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463 |
Nvidia | GP104BM | 123,308 | 206,010 | 0.60 | 40 hrs 6 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:31:33|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|