RESEARCH: PANTOTHENATE-KINASE-DIMER-SIMULATION
FOLDING PROJECT #12266 PROFILE
PROJECT TEAM
Manager(s): Louis SmithInstitution: University of Pennsylvania
WORK UNIT INFO
Atoms: 263,487Core: 0x23
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project relates to studying a human enzyme that's important for energy production in cells. By understanding how the enzyme works, scientists hope to find ways to control its activity and treat diseases like diabetes.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
These simulations are exploring the landscape of the dimer pantothenate kinase 1 from humans.
This enzyme is the rate-limiting step in the synthesis of Acetyl-CoA, and is widely expressed across many tissues.
The enzyme processes vitamin B5 (pantothenate) yielding phosphopantothenate, which is then worked up by other enzymes into Acetyl-CoA.
Acetyl-CoA binds to the same site as pantothenate, and thus prevents the enzyme from overproducing pantothenate through product inhibition.
These simulations are part of an effort to identify conformations that are important for other inhibitors of that site.
Being able to control when the enzyme is productive regardless of whether AcCoA is abundant gives a framework for manipulating cellular metabolism and signalling in many diseases, particularly diabetes. This simulation, because it is ligand free, will advance the state of research on this important protein, so that subsequent studies can better understand modulating compounds relevant to particular diseases.
RELATED TERMS GLOSSARY AI BETA
pantothenate kinase 1
An enzyme that phosphorylates pantothenate to phosphopantothenate.
Pantothenate kinase 1 is a crucial enzyme involved in the production of Acetyl-CoA, a vital molecule for cellular energy and metabolism. It catalyzes the phosphorylation of pantothenate (vitamin B5) into phosphopantothenate, which is then further processed to form Acetyl-CoA. This enzyme plays a significant role in various metabolic pathways and its regulation is essential for maintaining cellular homeostasis.
Acetyl-CoA
A molecule that plays a central role in cellular metabolism.
Acetyl-CoA is a crucial molecule involved in numerous metabolic processes within cells. It serves as the primary fuel source for energy production through oxidative phosphorylation and is also essential for the synthesis of fatty acids, cholesterol, and other important biomolecules. The regulation of Acetyl-CoA levels plays a vital role in maintaining cellular homeostasis and influencing various physiological functions.
pantothenate
Vitamin B5.
Pantothenic acid, also known as vitamin B5, is an essential nutrient that plays a vital role in various metabolic processes within the body. It is a precursor to coenzyme A (CoA), which is involved in the metabolism of carbohydrates, fats, and proteins. Pantothenate deficiency can lead to fatigue, muscle cramps, and other health problems.
phosphopantothenate
An intermediate in the synthesis of Acetyl-CoA.
Phosphopantothenate is an essential intermediate molecule in the biosynthesis of Acetyl-CoA. It is formed by the phosphorylation of pantothenate (vitamin B5) catalyzed by pantothenate kinase 1. Phosphopantothenate then undergoes further enzymatic reactions to yield Acetyl-CoA, a crucial molecule for cellular energy production and metabolism.
dimer
Two identical protein molecules joined together.
A dimer is a type of protein complex formed by the association of two identical polypeptide chains. These subunits interact through various non-covalent bonds, resulting in a stable structure with unique functional properties. Dimers play essential roles in numerous biological processes, including enzymatic catalysis, signal transduction, and cell adhesion.
inhibitors
Molecules that block the activity of enzymes or other proteins.
Inhibitors are molecules that bind to specific target proteins and reduce their activity. They play a crucial role in drug development as they can be designed to inhibit the function of disease-causing proteins. Inhibitors can act through various mechanisms, including blocking enzyme active sites, disrupting protein-protein interactions, or altering protein conformation.
conformations
Different shapes that a protein can adopt.
A protein's conformation refers to its three-dimensional shape, which is crucial for its function. Proteins can exist in multiple conformations, and these changes can be influenced by factors such as temperature, pH, and binding interactions. Understanding protein conformations is essential for comprehending protein function and designing drugs that target specific proteins.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Tuesday, 14 April 2026 06:35:01|
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 | 26,528,326 | 1,324,315 | 20.03 | 1 hrs 12 mins |
| 2 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 17,754,252 | 1,153,144 | 15.40 | 1 hrs 34 mins |
| 3 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 17,114,190 | 1,140,564 | 15.01 | 1 hrs 36 mins |
| 4 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 13,528,225 | 1,061,232 | 12.75 | 1 hrs 53 mins |
| 5 | RTX 6000 Ada Generation AD102GL [RTX 6000 Ada Generation] |
Nvidia | AD102GL | 13,440,869 | 1,063,533 | 12.64 | 1 hrs 54 mins |
| 6 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 13,039,501 | 1,030,199 | 12.66 | 1 hrs 54 mins |
| 7 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 11,968,896 | 1,009,452 | 11.86 | 2 hrs 1 mins |
| 8 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,381,987 | 937,230 | 10.01 | 2 hrs 24 mins |
| 9 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 9,250,765 | 932,976 | 9.92 | 2 hrs 25 mins |
| 10 | RTX A6000 GA102GL [RTX A6000] |
Nvidia | GA102GL | 8,616,833 | 336,951 | 25.57 | 0 hrs 56 mins |
| 11 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 8,389,967 | 759,033 | 11.05 | 2 hrs 10 mins |
| 12 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 7,596,793 | 686,252 | 11.07 | 2 hrs 10 mins |
| 13 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 7,350,433 | 843,518 | 8.71 | 2 hrs 45 mins |
| 14 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,728,576 | 835,908 | 8.05 | 2 hrs 59 mins |
| 15 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 6,293,793 | 790,834 | 7.96 | 3 hrs 1 mins |
| 16 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 5,909,091 | 802,950 | 7.36 | 3 hrs 16 mins |
| 17 | GeForce RTX 4060 Ti 16GB AD106 [GeForce RTX 4060 Ti 16GB] |
Nvidia | AD106 | 5,883,036 | 813,394 | 7.23 | 3 hrs 19 mins |
| 18 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 5,854,582 | 762,500 | 7.68 | 3 hrs 8 mins |
| 19 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 5,785,377 | 801,656 | 7.22 | 3 hrs 20 mins |
|
|
|||||||
| 20 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 5,764,777 | 799,184 | 7.21 | 3 hrs 20 mins |
| 21 | L4 AD104GL [L4] |
Nvidia | AD104GL | 5,649,939 | 781,315 | 7.23 | 3 hrs 19 mins |
| 22 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 5,531,539 | 779,491 | 7.10 | 3 hrs 23 mins |
| 23 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,428,876 | 784,626 | 6.92 | 3 hrs 28 mins |
| 24 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 5,263,401 | 763,419 | 6.89 | 3 hrs 29 mins |
| 25 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 4,665,014 | 747,994 | 6.24 | 3 hrs 51 mins |
| 26 | RTX A4500 GA102GL [RTX A4500] |
Nvidia | GA102GL | 4,480,027 | 675,685 | 6.63 | 3 hrs 37 mins |
| 27 | GeForce RTX 4070 Max-Q / Mobile AD106M [GeForce RTX 4070 Max-Q / Mobile] |
Nvidia | AD106M | 4,276,072 | 735,530 | 5.81 | 4 hrs 8 mins |
| 28 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 4,093,154 | 665,281 | 6.15 | 3 hrs 54 mins |
| 29 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,047,597 | 709,392 | 5.71 | 4 hrs 12 mins |
| 30 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 3,887,468 | 695,220 | 5.59 | 4 hrs 18 mins |
| 31 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,607,524 | 684,386 | 5.27 | 4 hrs 33 mins |
| 32 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,555,518 | 669,440 | 5.31 | 4 hrs 31 mins |
| 33 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 3,401,982 | 416,946 | 8.16 | 2 hrs 56 mins |
| 34 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,329,089 | 662,066 | 5.03 | 4 hrs 46 mins |
| 35 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 3,235,362 | 652,067 | 4.96 | 4 hrs 50 mins |
| 36 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 3,213,505 | 659,038 | 4.88 | 4 hrs 55 mins |
| 37 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,181,549 | 646,244 | 4.92 | 4 hrs 52 mins |
| 38 | GeForce RTX 4050 Max-Q / Mobile AD107M [GeForce RTX 4050 Max-Q / Mobile] |
Nvidia | AD107M | 3,144,780 | 654,599 | 4.80 | 4 hrs 60 mins |
| 39 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 2,980,180 | 642,929 | 4.64 | 5 hrs 11 mins |
|
|
|||||||
| 40 | GeForce RTX 3070 Mobile / Max-Q GA104M [GeForce RTX 3070 Mobile / Max-Q] |
Nvidia | GA104M | 2,906,477 | 642,219 | 4.53 | 5 hrs 18 mins |
| 41 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 2,821,059 | 626,424 | 4.50 | 5 hrs 20 mins |
| 42 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,767,395 | 626,190 | 4.42 | 5 hrs 26 mins |
| 43 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,366,481 | 593,919 | 3.98 | 6 hrs 1 mins |
| 44 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,286,900 | 570,641 | 4.01 | 5 hrs 59 mins |
| 45 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,107,554 | 577,989 | 3.65 | 6 hrs 35 mins |
| 46 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 1,805,206 | 495,917 | 3.64 | 6 hrs 36 mins |
| 47 | Radeon RX 7700S/7600(S) Navi 33 [Radeon RX 7700S/7600(S)] |
AMD | Navi 33 | 1,798,707 | 550,931 | 3.26 | 7 hrs 21 mins |
| 48 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,601,927 | 505,018 | 3.17 | 7 hrs 34 mins |
| 49 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,554,540 | 517,391 | 3.00 | 7 hrs 59 mins |
| 50 | Geforce RTX 3070 Ti Laptop GPU GA104 [Geforce RTX 3070 Ti Laptop GPU] |
Nvidia | GA104 | 1,548,209 | 380,336 | 4.07 | 5 hrs 54 mins |
| 51 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,539,720 | 506,183 | 3.04 | 7 hrs 53 mins |
| 52 | RTX A2000 12GB GA106 [RTX A2000 12GB] |
Nvidia | GA106 | 1,353,885 | 497,831 | 2.72 | 8 hrs 49 mins |
| 53 | Radeon RX 6600/6600 XT/6600M Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M] |
AMD | Navi 23 XT-XL | 1,321,499 | 496,129 | 2.66 | 9 hrs 1 mins |
| 54 | Radeon PRO W6600 Navi 23 XL [Radeon PRO W6600] |
AMD | Navi 23 XL | 1,275,661 | 480,387 | 2.66 | 9 hrs 2 mins |
| 55 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 1,021,554 | 453,119 | 2.25 | 10 hrs 39 mins |
| 56 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 348,815 | 154,746 | 2.25 | 10 hrs 39 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Tuesday, 14 April 2026 06:35:01|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|---|---|---|---|---|
| 1 | CORE I7-10700K CPU @ 3.80GHZ | 16 | Intel |