RESEARCH: CANCER
FOLDING PROJECT #17910 PROFILE

PROJECT TEAM

Manager(s): Austin Weigle
Institution: University of Illinois at Urbana-Champaign
Project URL: View Project Website

WORK UNIT INFO

Atoms: 66,134
Core: 0x22
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project looks at how enzymes called acyltransferases change shape when they bind to different molecules. These enzymes are important for things like gene activity and cancer, but they don't all have the same building blocks. By studying their movements, scientists hope to understand how these enzymes evolved to recognize specific targets without needing identical sequences.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL PROJECT DESCRIPTION

Understanding the molecular basis of substrate specificity for a given protein family is fundamental for the biophysical study of any metabolic process and related molecule design.

In this project, we model the apo and holo dynamics of acyltransferase enzymes demonstrating variable substrate specificity and organismal evolutionary stage.

Human acyltransferase activity is generally implicated in gene expression and cancer development.

Averaging ~18-25 sequence identity within their family, our selected acyltransferase enzymes maintain a remarkably conserved topology, where the front and back domains of these proteins form a doughnut-like shape bridged by an ~50 residue intrinsically disordered loop (IDL).

Sequence-based analyses suggest that some correlation exists between the extent of disorder in this IDL region and the extent of demonstrated substrate permissiveness by the respective enzyme.

By comparing loop dynamics in response to substrate recognition between the different modeled proteins, our goal is to offer fundamental insights into how soluble proteins can evolve substrate specificity without converging to a conserved amino acid sequence.

RELATED TERMS GLOSSARY AI BETA

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

substrate specificity

The ability of an enzyme to selectively bind and act upon a particular substrate.

Scientific: Pharmaceutical Research
Biochemistry / Protein Structure

Substrate specificity refers to an enzyme's ability to recognize and bind to specific molecules called substrates. This selectivity is crucial for biological processes as it ensures that enzymes catalyze the desired reactions without affecting other molecules in the cell.


acyltransferase

An enzyme that catalyzes the transfer of an acyl group (an organic molecule containing a carbonyl group) from one molecule to another.

Technical: Biotechnology
Biochemistry / Metabolic Pathways

Acyltransferases are enzymes responsible for transferring acyl groups between molecules. This process plays a vital role in various metabolic pathways, including lipid synthesis, signal transduction, and protein modification.


organismal evolutionary stage

The developmental point or stage of an organism within its evolutionary history.

Scientific: Biomedical Research
Biology / Evolutionary Biology

Organismal evolutionary stage refers to the position an organism holds in its evolutionary lineage. Different stages reflect varying levels of complexity and adaptation to environmental pressures throughout the organism's history.


gene expression

The process by which information encoded in a gene is used to synthesize functional products, such as proteins or RNA molecules.

Scientific: Biotechnology
Molecular Biology / Genetics

Gene expression is the fundamental process by which genetic information is converted into functional molecules. It involves two main steps: transcription, where DNA is copied into RNA, and translation, where RNA is used to build proteins.


cancer development

The multi-step process by which normal cells transform into cancerous cells.

Scientific: Pharmaceutical Research
Medicine / Oncology

Cancer development is a complex process involving genetic mutations and alterations in cellular signaling pathways. These changes allow cells to grow uncontrollably, invade surrounding tissues, and spread throughout the body.


sequence identity

The percentage of amino acid residues that are identical between two protein sequences.

Scientific: Biotechnology
Bioinformatics / Protein Sequence Analysis

Sequence identity is a measure of similarity between protein sequences. A higher sequence identity indicates greater evolutionary relatedness between the proteins.


topology

The three-dimensional arrangement of atoms and molecules within a protein.

Technical: Biotechnology
Structural Biology / Protein Folding

Protein topology refers to the overall spatial structure of a protein molecule. Understanding protein topology is crucial for comprehending its function and interactions with other molecules.


intrinsically disordered loop (IDL)

A region of a protein that lacks a defined three-dimensional structure.

Scientific: Biotechnology
Structural Biology / Protein Dynamics

Intrinsically disordered loops (IDLs) are flexible regions within proteins that lack a stable conformation. These loops play important roles in protein function by mediating interactions with other molecules and adapting to changing cellular environments.


substrate permissiveness

The ability of an enzyme to accept a wide range of substrates.

Scientific: Pharmaceutical Research
Biochemistry / Enzyme Kinetics

Substrate permissiveness refers to the broad spectrum of molecules an enzyme can effectively catalyze. Enzymes with high substrate permissiveness are versatile and can participate in multiple metabolic pathways.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:34:33
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 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 10,229,343 78,091 130.99 0 hrs 11 mins
2 GeForce RTX 3090 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 8,318,214 74,279 111.99 0 hrs 13 mins
3 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 8,049,258 74,241 108.42 0 hrs 13 mins
4 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 7,576,589 74,468 101.74 0 hrs 14 mins
5 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 7,048,332 177,022 39.82 0 hrs 36 mins
6 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 6,682,655 68,033 98.23 0 hrs 15 mins
7 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 6,079,101 67,062 90.65 0 hrs 16 mins
8 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 5,106,965 63,387 80.57 0 hrs 18 mins
9 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 4,442,644 59,924 74.14 0 hrs 19 mins
10 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 4,229,485 59,262 71.37 0 hrs 20 mins
11 RTX A5000
GA102GL [RTX A5000]
Nvidia GA102GL 3,826,102 56,366 67.88 0 hrs 21 mins
12 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 3,787,572 57,888 65.43 0 hrs 22 mins
13 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,305,692 54,502 60.65 0 hrs 24 mins
14 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 3,104,347 51,068 60.79 0 hrs 24 mins
15 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,985,385 51,829 57.60 0 hrs 25 mins
16 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 2,940,048 52,065 56.47 0 hrs 26 mins
17 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 2,901,917 52,377 55.40 0 hrs 26 mins
18 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 2,632,361 50,507 52.12 0 hrs 28 mins
19 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 2,560,866 50,750 50.46 0 hrs 29 mins
20 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,394,207 49,225 48.64 0 hrs 30 mins
21 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,371,124 49,111 48.28 0 hrs 30 mins
22 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,110,868 46,787 45.12 0 hrs 32 mins
23 GeForce RTX 3080 Mobile / Max-Q 8GB/16GB
GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]
Nvidia GA104M 1,922,601 44,505 43.20 0 hrs 33 mins
24 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 1,785,767 44,087 40.51 0 hrs 36 mins
25 GeForce RTX 2060 Mobile
TU106M [GeForce RTX 2060 Mobile]
Nvidia TU106M 1,562,982 42,209 37.03 0 hrs 39 mins
26 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,338,080 40,512 33.03 0 hrs 44 mins
27 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,294,400 40,086 32.29 0 hrs 45 mins
28 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,281,977 39,683 32.31 0 hrs 45 mins
29 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,231,706 39,187 31.43 0 hrs 46 mins
30 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,072,636 37,144 28.88 0 hrs 50 mins
31 P104-100
GP104 [P104-100]
Nvidia GP104 1,004,554 36,761 27.33 0 hrs 53 mins
32 Geforce RTX 3050
GA106 [Geforce RTX 3050]
Nvidia GA106 998,070 36,376 27.44 0 hrs 52 mins
33 Tesla M40
GM200GL [Tesla M40] 6844
Nvidia GM200GL 951,682 35,411 26.88 0 hrs 54 mins
34 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 648,178 31,463 20.60 1 hrs 10 mins
35 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 604,315 30,775 19.64 1 hrs 13 mins
36 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 571,743 30,656 18.65 1 hrs 17 mins
37 P106-090
GP106 [P106-090]
Nvidia GP106 330,371 24,980 13.23 1 hrs 49 mins
38 GeForce GTX 1650 Mobile / Max-Q
TU117M [GeForce GTX 1650 Mobile / Max-Q]
Nvidia TU117M 235,147 22,972 10.24 2 hrs 21 mins
39 GeForce GTX 950
GM206 [GeForce GTX 950] 1572
Nvidia GM206 229,077 22,641 10.12 2 hrs 22 mins
40 GeForce GTX 750 Ti
GM107 [GeForce GTX 750 Ti] 1389
Nvidia GM107 138,161 19,002 7.27 3 hrs 18 mins
41 GeForce GTX 750
GM107 [GeForce GTX 750] 1111
Nvidia GM107 94,565 16,622 5.69 4 hrs 13 mins
42 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 53,547 13,617 3.93 6 hrs 6 mins
43 GeForce GT 710
GK208B [GeForce GT 710] 366
Nvidia GK208B 7,235 8,284 0.87 27 hrs 29 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:34:33
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make