RESEARCH: ENZYME-DYNAMICS
FOLDING PROJECT #15420 PROFILE

PROJECT TEAM

Manager(s): Adrija Dutta
Institution: UIUC

WORK UNIT INFO

Atoms: 263,915
Core: 0x24
Status: Public

TLDR; PROJECT SUMMARY AI BETA

The project relates to studying how enzymes change shape to bind with other molecules. Using computer simulations, we're looking at the flexibility of enzymes' active sites to see how this affects their ability to interact with different substances. This could help us design better drugs and understand how enzymes 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

Note: Glossary items are a high level summary and may not be 100% accurate.

Protein

A large biomolecule composed of amino acids.

Scientific: Pharmaceutical Research
Biotechnology / Structural Biology

Proteins are essential building blocks of living organisms. They perform a wide range of functions, including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating cellular processes. Understanding protein structure and function is crucial for advancements in medicine, agriculture, and biotechnology.


Molecular Dynamics

A computational method for simulating the movement of atoms and molecules over time.

Technical: Drug Discovery
Biotechnology / Computational Biology

Molecular dynamics simulations are used to study the behavior of biomolecules at the atomic level. They allow researchers to investigate protein folding, ligand binding, and other dynamic processes that are difficult to observe experimentally.


Enzyme

A biological catalyst that speeds up chemical reactions.

Scientific: Pharmaceutical Research
Biotechnology / Biochemistry

Enzymes are essential proteins that play a critical role in virtually all biological processes. They accelerate biochemical reactions by lowering the activation energy required for the reaction to occur. Understanding enzyme function is crucial for developing new drugs and therapies.


Ligand

A molecule that binds to a protein or receptor.

Scientific: Drug Discovery
Biotechnology / Pharmacology

Ligands are molecules that interact with proteins, such as enzymes and receptors. They can bind to specific sites on proteins, triggering various biological responses. Understanding ligand-protein interactions is essential for developing new drugs and therapies.


Drug Discovery

The process of identifying and developing new drugs.

Industry: Pharmaceutical Industry
Biotechnology / Pharmaceutical Research

Drug discovery is a complex and time-consuming process that involves identifying potential drug candidates, testing their efficacy and safety, and ultimately bringing them to market. Advances in biotechnology, such as molecular modeling and high-throughput screening, have significantly accelerated the drug discovery process.

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 5080
GB203 [GeForce RTX 5080]
Nvidia GB203 77,254,697 205,931 375.15 0 hrs 4 mins
2 GeForce RTX 5090
GB202 [GeForce RTX 5090]
Nvidia GB202 34,362,758 205,931 166.87 0 hrs 9 mins
3 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 19,729,418 205,931 95.81 0 hrs 15 mins
4 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 19,459,495 367,504 52.95 0 hrs 27 mins
5 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 17,418,182 920,547 18.92 1 hrs 16 mins
6 GeForce RTX 5070 Ti
GB203 [GeForce RTX 5070 Ti]
Nvidia GB203 17,337,116 205,931 84.19 0 hrs 17 mins
7 GeForce RTX 4070 Ti SUPER
AD103 [GeForce RTX 4070 Ti SUPER]
Nvidia AD103 14,421,030 205,931 70.03 0 hrs 21 mins
8 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 12,904,069 450,317 28.66 0 hrs 50 mins
9 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 11,815,353 399,234 29.60 0 hrs 49 mins
10 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 6,320,472 205,931 30.69 0 hrs 47 mins
11 GeForce RTX 5060
GB206 [GeForce RTX 5060]
Nvidia GB206 6,024,074 205,931 29.25 0 hrs 49 mins
12 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 5,803,701 205,931 28.18 0 hrs 51 mins
13 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 5,033,021 205,931 24.44 0 hrs 59 mins
14 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 4,906,193 205,931 23.82 1 hrs 0 mins
15 GeForce RTX 5060 Ti
GB206 [GeForce RTX 5060 Ti]
Nvidia GB206 4,714,714 205,931 22.89 1 hrs 3 mins
16 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 4,643,540 205,931 22.55 1 hrs 4 mins
17 RTX 4000 SFF Ada Generation
AD104GL [RTX 4000 SFF Ada Generation]
Nvidia AD104GL 4,545,917 205,931 22.07 1 hrs 5 mins
18 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,457,857 205,931 21.65 1 hrs 7 mins
19 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 3,429,972 205,931 16.66 1 hrs 26 mins
20 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 3,400,342 596,975 5.70 4 hrs 13 mins
21 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,092,303 205,931 15.02 1 hrs 36 mins
22 Radeon RX 6700(XT)/6800M
Navi 22 XT-XL [Radeon RX 6700(XT)/6800M]
AMD Navi 22 XT-XL 2,456,436 205,931 11.93 2 hrs 1 mins
23 Radeon RX 9060(XT)
Navi 44 [Radeon RX 9060(XT)]
AMD Navi 44 2,299,401 205,931 11.17 2 hrs 9 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