RESEARCH: ENZYME-DYNAMICS
FOLDING PROJECT #15415 PROFILE

PROJECT TEAM

Manager(s): Adrija Dutta
Institution: UIUC

WORK UNIT INFO

Atoms: 81,948
Core: 0x24
Status: Public

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

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

Protein

A large biomolecule made up of amino acids.

Scientific: Pharmaceutical
Biotechnology / Structural Biology

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.

Technical: Pharmaceutical
Biotechnology / Computational Biology

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.

Scientific: Biotech
Pharmacology / Drug Discovery

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.

Scientific: Biotech
Pharmacology / Drug Discovery

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.

Process: Biotech
Pharmacology / Research & Development

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.

Scientific: Pharmaceutical
Biotechnology / Metabolism

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.

Scientific: Pharmaceutical
Biochemistry / Enzymology

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