RESEARCH: CANCER
FOLDING PROJECT #18227 PROFILE

PROJECT TEAM

Manager(s): Justin Miller
Institution: University of Pennsylvania

WORK UNIT INFO

Atoms: 383,200
Core: 0x23
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project uses computer simulations to study how the protein Phosphoglycerate kinase (PGK) works. PGK is important for energy production in cells and problems with it can cause health issues. By simulating PGK, researchers hope to understand its structure and function better. They are also testing different simulation methods to see which ones are most accurate.

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

OFFICAL PROJECT DESCRIPTION

In this project we simulate the protein Phosphoglycerate kinase (PGK), a vital component in cell metabolism (specifically glycolysis, the processing of sugar into ATP for the cell).

PGK catalyzes the conversion of 1,3 bisphosphoglycerate to 3-phosphoglycerate generating one molecule of ATP in the process.

While the biochemical activity of PGK has been long understoon, how this process is achieved from a structural perspective is less well known. PGK deficiencies lead to hemolytic anemia and myopathy, over-expression has been linked to a variety of cancers, and PGK can metabolize a variety of different drugs.

We hope that simulations of PGK will lead to a better understanding of how PGK completes these essential catalytic activities. In our prior projects we have looked at the impact of ligands on PGK conformations.

As our experimental collaborators have several biophysical measurements of PGK, we also believe this gives us an excellent opportunity to assess how force fields, one of the fundamental processes of our computer simulations, affect the accuracy of our simulations.

In project 18224, we looked at a commonly used force field, charmm36 performed.

In 18227 and 18228, we look at how the force fields amber03 and amber14sb perform.

We believe these findings will aid not only this project, but all simulation projects going forward.

RELATED TERMS GLOSSARY AI BETA

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

Phosphoglycerate kinase

Enzyme catalyzing a key step in glycolysis.

Technical: Biotechnology
Biochemistry / Cellular Metabolism

Phosphoglycerate kinase (PGK) is an enzyme essential for cellular energy production. It plays a crucial role in glycolysis, the process of breaking down sugar to generate ATP (the cell's energy currency). PGK catalyzes a specific reaction converting 1,3-bisphosphoglycerate to 3-phosphoglycerate, releasing energy used to form ATP.


Glycolysis

Metabolic pathway converting glucose to pyruvate.

Scientific: Biotechnology
Biochemistry / Cellular Metabolism

Glycolysis is a fundamental metabolic pathway that breaks down glucose into pyruvate. This process occurs in the cytoplasm of cells and is essential for energy production. During glycolysis, glucose is sequentially converted through several enzymatic reactions, ultimately generating ATP (the cell's energy currency) and pyruvate.


ATP

Adenosine triphosphate

Scientific: Biotechnology
Biochemistry / Cellular Energy

ATP (Adenosine Triphosphate) is the primary energy currency of cells. It stores and releases energy in a readily usable form for cellular processes such as muscle contraction, protein synthesis, and nerve impulse transmission.


Hemolytic anemia

Anemia caused by red blood cell destruction.

Pathology: Pharmaceuticals
Medicine / Blood Disorders

Hemolytic anemia is a type of anemia characterized by the premature destruction of red blood cells. This can lead to fatigue, weakness, pale skin, and shortness of breath. Causes include genetic disorders, autoimmune diseases, infections, and certain medications.


Myopathy

Disease affecting muscle function.

Pathology: Pharmaceuticals
Medicine / Muscle Disorders

Myopathy is a general term for any disease that affects muscle function. This can lead to weakness, pain, stiffness, and difficulty moving. Causes include genetic disorders, infections, autoimmune diseases, and certain medications.


Cancer

Uncontrolled cell growth.

Pathology: Pharmaceuticals
Medicine / Oncology

Cancer is a group of diseases characterized by uncontrolled cell growth and spread. This can damage surrounding tissues and organs. Causes include genetic mutations, environmental factors, and lifestyle choices.


Force field

Model of molecular interactions.

Technical: Biotechnology
Computer Simulation / Molecular Dynamics

A force field is a mathematical model used in computer simulations to represent the interactions between atoms and molecules. It describes how atoms attract and repel each other based on their distance and electronic properties. Force fields are essential for simulating the behavior of complex biological systems.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:31:15
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 42,215,121 101,000 417.97 0 hrs 3 mins
2 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 28,622,787 101,000 283.39 0 hrs 5 mins
3 GeForce RTX 5080
GB203 [GeForce RTX 5080]
Nvidia GB203 22,340,936 104,613 213.56 0 hrs 7 mins
4 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 21,518,333 110,702 194.38 0 hrs 7 mins
5 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 21,317,349 133,589 159.57 0 hrs 9 mins
6 GeForce RTX 5070 Ti
GB203 [GeForce RTX 5070 Ti]
Nvidia GB203 19,154,959 101,000 189.65 0 hrs 8 mins
7 GeForce RTX 4090 Laptop GPU
AD103M / GN21-X11 [GeForce RTX 4090 Laptop GPU]
Nvidia AD103M / GN21-X11 14,215,317 101,000 140.75 0 hrs 10 mins
8 GeForce RTX 4070 Ti SUPER
AD103 [GeForce RTX 4070 Ti SUPER]
Nvidia AD103 13,478,652 259,032 52.03 0 hrs 28 mins
9 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 13,477,314 797,257 16.90 1 hrs 25 mins
10 GeForce RTX 5070
GB205 [GeForce RTX 5070]
Nvidia GB205 12,507,860 101,000 123.84 0 hrs 12 mins
11 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 11,018,866 251,079 43.89 0 hrs 33 mins
12 RTX 5000 Ada Generation Laptop GPU
AD103GLM [RTX 5000 Ada Generation Laptop GPU]
Nvidia AD103GLM 10,625,529 736,658 14.42 1 hrs 40 mins
13 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 8,956,066 632,089 14.17 1 hrs 42 mins
14 GeForce RTX 5060 Ti
GB206 [GeForce RTX 5060 Ti]
Nvidia GB206 8,841,135 101,000 87.54 0 hrs 16 mins
15 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 8,498,310 466,334 18.22 1 hrs 19 mins
16 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 8,303,473 253,808 32.72 0 hrs 44 mins
17 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 7,466,761 477,166 15.65 1 hrs 32 mins
18 GeForce RTX 4070 Max-Q / Mobile
AD106M [GeForce RTX 4070 Max-Q / Mobile]
Nvidia AD106M 7,278,360 101,000 72.06 0 hrs 20 mins
19 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 6,876,473 607,550 11.32 2 hrs 7 mins
20 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 6,545,685 602,884 10.86 2 hrs 13 mins
21 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 6,405,016 600,313 10.67 2 hrs 15 mins
22 TITAN RTX
TU102 [TITAN RTX] 16310
Nvidia TU102 6,398,400 101,000 63.35 0 hrs 23 mins
23 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 5,786,899 101,000 57.30 0 hrs 25 mins
24 GeForce RTX 5080 Max-Q / Mobile
GB203M / GN22-X9 [GeForce RTX 5080 Max-Q / Mobile]
Nvidia GB203M / GN22-X9 5,581,243 101,000 55.26 0 hrs 26 mins
25 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 5,319,670 551,602 9.64 2 hrs 29 mins
26 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 5,230,769 101,000 51.79 0 hrs 28 mins
27 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 5,080,687 137,513 36.95 0 hrs 39 mins
28 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 5,043,521 101,000 49.94 0 hrs 29 mins
29 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,667,488 512,761 9.10 2 hrs 38 mins
30 Radeon RX 6800(XT)/6900XT
Navi 21 [Radeon RX 6800(XT)/6900XT]
AMD Navi 21 4,076,887 405,703 10.05 2 hrs 23 mins
31 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,070,418 523,999 7.77 3 hrs 5 mins
32 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 Super]
Nvidia TU104 3,979,025 101,000 39.40 0 hrs 37 mins
33 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 3,776,188 288,284 13.10 1 hrs 50 mins
34 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 3,769,272 101,000 37.32 0 hrs 39 mins
35 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 3,551,306 176,859 20.08 1 hrs 12 mins
36 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,435,122 342,529 10.03 2 hrs 24 mins
37 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 3,310,515 444,847 7.44 3 hrs 13 mins
38 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 3,295,471 443,719 7.43 3 hrs 14 mins
39 GeForce RTX 4050 Max-Q / Mobile
AD107M [GeForce RTX 4050 Max-Q / Mobile]
Nvidia AD107M 3,237,600 498,077 6.50 3 hrs 42 mins
40 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,128,340 491,044 6.37 3 hrs 46 mins
41 RTX A4000
GA104GL [RTX A4000]
Nvidia GA104GL 3,064,160 101,000 30.34 0 hrs 47 mins
42 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,965,061 484,904 6.11 3 hrs 55 mins
43 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 2,774,974 758,096 3.66 6 hrs 33 mins
44 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 2,698,385 466,881 5.78 4 hrs 9 mins
45 RTX 2000 Ada Generation Laptop GPU
AD107GLM [RTX 2000 Ada Generation Laptop GPU]
Nvidia AD107GLM 2,646,214 470,034 5.63 4 hrs 16 mins
46 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,620,948 434,760 6.03 3 hrs 59 mins
47 GeForce RTX 4060 Max-Q / Mobile
AD107M [GeForce RTX 4060 Max-Q / Mobile]
Nvidia AD107M 2,200,152 342,547 6.42 3 hrs 44 mins
48 GeForce RTX 3080 Mobile / Max-Q 8GB/16GB
GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]
Nvidia GA104M 1,871,014 101,000 18.52 1 hrs 18 mins
49 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,855,469 159,757 11.61 2 hrs 4 mins
50 P104-100
GP104 [P104-100]
Nvidia GP104 1,596,687 101,000 15.81 1 hrs 31 mins
51 RTX A2000 12GB
GA106 [RTX A2000 12GB]
Nvidia GA106 1,526,538 101,000 15.11 1 hrs 35 mins
52 Radeon RX 6700(XT)/6800M
Navi 22 XT-XL [Radeon RX 6700(XT)/6800M]
AMD Navi 22 XT-XL 1,438,188 101,000 14.24 1 hrs 41 mins
53 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,216,422 101,000 12.04 1 hrs 60 mins
54 Radeon RX 6600(XT/M)
Navi 23 XT-XL [Radeon RX 6600(XT/M)]
AMD Navi 23 XT-XL 1,104,271 335,671 3.29 7 hrs 18 mins
55 RX 5600 OEM/5600XT/5700/5700XT
Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]
AMD Navi 10 817,460 276,943 2.95 8 hrs 8 mins
56 R9 Fury X/NANO
Fiji XT [R9 Fury X/NANO]
AMD Fiji XT 649,341 101,000 6.43 3 hrs 44 mins
57 GeForce GTX 1650
TU106 [GeForce GTX 1650]
Nvidia TU106 480,630 101,000 4.76 5 hrs 3 mins
58 RX 5500/5500M/Pro 5500M
Navi 14 [RX 5500/5500M/Pro 5500M]
AMD Navi 14 432,810 253,458 1.71 14 hrs 3 mins
59 RX Vega M GL
Polaris 22 XL [RX Vega M GL]
AMD Polaris 22 XL 165,457 101,000 1.64 14 hrs 39 mins
60 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 124,118 101,000 1.23 19 hrs 32 mins
61 Vega Mobile APU
Lucienne [Vega Mobile APU]
AMD Lucienne 28,373 101,000 0.28 85 hrs 26 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:31:15
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 5 3600X 6-CORE 12 AMD
2 RYZEN 7 5700X 8-CORE 16 AMD