RESEARCH: ENZYME-DYNAMICS
FOLDING PROJECT #15415 PROFILE
PROJECT TEAM
Manager(s): Adrija DuttaInstitution: UIUC
WORK UNIT INFO
Atoms: 81,948Core: 0x24
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project relates to studying how enzymes change shape to interact with other molecules. By using computer simulations, researchers are looking at how these changes affect how enzymes bind to things like drugs. Understanding this could help develop new drugs and improve our understanding of 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
A large biomolecule made up of amino acids.
Proteins are essential molecules found in all living organisms. They perform a wide range of functions, including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating cellular processes. Their complex three-dimensional structures enable them to interact with other molecules in specific ways.
Molecular dynamics
A computer simulation method used to study the motion of atoms and molecules over time.
Molecular dynamics simulations are used to understand how molecules move and interact. They can be applied to study a wide range of systems, including proteins, DNA, and drug-target complexes. By simulating the movement of atoms over time, researchers can gain insights into the mechanisms underlying biological processes.
Binding pocket
A specific region on a protein where a ligand can bind.
The binding pocket is a crucial site on proteins that allows them to interact with other molecules. Ligands, such as drugs or substrates, fit into these pockets and trigger specific biological responses. Understanding the structure and function of binding pockets is essential for drug design and development.
Ligand
A molecule that binds to a receptor or protein.
Ligands are molecules that interact with specific target sites on proteins. They can be natural substances, like hormones, or synthetic compounds, such as drugs. Ligand binding often triggers cellular responses and plays a key role in various biological processes.
Drug discovery
The process of identifying and developing new drugs.
Drug discovery is a complex and multi-stage process that involves identifying potential drug candidates, testing their effectiveness and safety, and ultimately bringing them to market. It requires expertise in various fields, including chemistry, biology, and medicine.
Enzyme
A protein that catalyzes a biochemical reaction.
Enzymes are biological catalysts that accelerate chemical reactions within living organisms. They play essential roles in various metabolic processes, such as digestion, energy production, and DNA replication.
Active-site
The region on an enzyme where the substrate binds and the reaction takes place.
The active site is a specialized region on an enzyme where substrates bind and undergo chemical transformations. The shape and chemical properties of the active site are crucial for enzyme specificity and catalytic activity.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:31:36|
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 | 23,568,758 | 34,714 | 678.94 | 0 hrs 2 mins |
| 2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 17,594,856 | 34,714 | 506.85 | 0 hrs 3 mins |
| 3 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 6,591,935 | 34,714 | 189.89 | 0 hrs 8 mins |
| 4 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 5,519,973 | 34,714 | 159.01 | 0 hrs 9 mins |
| 5 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 5,138,155 | 34,714 | 148.01 | 0 hrs 10 mins |
| 6 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,107,169 | 34,714 | 147.12 | 0 hrs 10 mins |
| 7 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 3,416,604 | 34,714 | 98.42 | 0 hrs 15 mins |
| 8 | Intel Arc B580 Graphics Battlemage G21 [Intel Arc B580 Graphics] |
Intel | Battlemage G21 | 2,984,525 | 34,714 | 85.97 | 0 hrs 17 mins |
| 9 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,750,657 | 34,714 | 79.24 | 0 hrs 18 mins |
| 10 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,067,510 | 114,659 | 18.03 | 1 hrs 20 mins |
| 11 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,522,265 | 140,120 | 10.86 | 2 hrs 13 mins |
| 12 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,501,256 | 139,290 | 10.78 | 2 hrs 14 mins |
| 13 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,321,552 | 133,638 | 9.89 | 2 hrs 26 mins |
| 14 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 898,508 | 51,922 | 17.30 | 1 hrs 23 mins |
| 15 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 381,891 | 88,040 | 4.34 | 5 hrs 32 mins |
| 16 | Quadro M5000 GM204GL [Quadro M5000] |
Nvidia | GM204GL | 378,945 | 34,714 | 10.92 | 2 hrs 12 mins |
| 17 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 255,868 | 77,125 | 3.32 | 7 hrs 14 mins |
| 18 | Quadro K5200 GK110 [Quadro K5200] |
Nvidia | GK110 | 224,989 | 34,714 | 6.48 | 3 hrs 42 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:31:36|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|