RESEARCH: FORCE-FIELD-PROTEIN-SIMULATION
FOLDING PROJECT #18243 PROFILE
PROJECT TEAM
Manager(s): Justin MillerInstitution: University of Pennsylvania
WORK UNIT INFO
Atoms: 117,230Core: 0x26
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
The project relates to testing different computer models used to simulate how molecules move. These models are like physics rules for atoms and are important for understanding how proteins fold and work. Scientists are using a protein called lysozyme as a test case because it's well-studied and has many known shapes. This research aims to improve the accuracy of these simulations, which can help us learn more about diseases and develop new drugs.
Note: This TLDR is a simplication and may not be 100% accurate.OFFICAL PROJECT DESCRIPTION
Force fields aren't only a thing in far off galaxies, but are also an integral part of molecular dynamics simulations.
Principally, molecular dynamics simulations are evaluating Newton's laws of motion iteratively.
Each atom in the simulation is given a position, velocity, and has some forces acting upon it.
We then take a short step forward in time (often 2-4 femtoseconds), update the positions of each atom based on the last known position, velocity, and acceleration, before re-evaluating the forces acting upon each atom.
Repeating this millions to trillions of times (or more), gives us a physics-based movie of atoms moving which we use to give insight into the behavior of our favorite proteins. One of the fundamental steps of this process is calculating the forces on each atom.
The collective model describing how to calculate these forces is called a force field.
Through the years, many force fields have been derived and refined, each one focusing on improving certain forces or behaviors of the simulation.
While tests are usually performed when force fields are redeveloped, it is difficult to achieve robust sampling (e.g.
many observations of rare events).
Here, we are continuing our efforts to catalog the performance and accuracy of these force fields.
In this project series, we use the well studied protein, T4 Lysozyme, as our test model.
Lysozyme is an antibacterial protein which destroys bacterial cell walls.
Lysozyme is an ideal system to use for evaluating force fields as many biophysical measurements have been performed on the system and several rare conformations (folds) of the protein have been observed.
We expect that our findings in this project series, along with the similar project series 18227-18230 and 18250-18255, will provide a strong benchmark to improve the accuracy in simulations, both on Folding@home as well as in the broader scientific community, to come. We are testing the following force field/water combinations in this project series.
If you are particularly excited about additional force field/water combinations, please reach out. 18235- Amber03 with TIP3P water 18236- Amber14sb with TIP3P water 18237- Amber19sb with OPC water 18238- Charmm36m with TIP3P water 18240- Amber99SB-disp with TIP4PD-1.6 water 18242-Amber99SB-star-ILDN with TIP4PD water 18243- Amber19sb with OPC3 water 18244-Amber19sb with OPC3-pol water.
RELATED TERMS GLOSSARY AI BETA
Force fields
A model describing how to calculate forces on atoms in a simulation.
Force fields are mathematical models used in molecular dynamics simulations to calculate the forces acting between atoms. They are essential for accurately simulating the behavior of molecules and understanding their properties.
Molecular dynamics
A computational method for simulating the movement of atoms and molecules over time.
Molecular dynamics simulations are computer programs that use physical laws to simulate how atoms and molecules interact. This allows scientists to study the behavior of molecules in different environments and conditions.
Newton's laws of motion
The fundamental principles governing the motion of objects.
Newton's laws of motion describe how objects move and interact with forces. They are the foundation of classical mechanics and are essential for understanding many phenomena in physics, including molecular dynamics.
Femtoseconds
A unit of time equal to 10^-15 seconds.
Femtoseconds are incredibly short units of time, often used in physics and chemistry to measure the speed of events at the atomic level. In molecular dynamics simulations, femtoseconds represent the small time steps taken to update the positions of atoms.
Proteins
Large, complex molecules essential for many biological processes.
Proteins are the workhorses of cells, carrying out a vast array of functions. They are involved in everything from building and repairing tissues to catalyzing chemical reactions.
T4 Lysozyme
A well-studied enzyme with antibacterial properties.
T4 Lysozyme is a protein that breaks down the cell walls of bacteria. It is used extensively in research to study protein structure and function.
Conformations
Different shapes or arrangements that a molecule can adopt.
Conformations refer to the different ways that a molecule, such as a protein, can fold and arrange its atoms. These different conformations can affect the molecule's function.
Folding@home
A distributed computing project that simulates protein folding.
Folding@home is a volunteer computing project that uses the processing power of donated computers to simulate protein folding. This helps researchers understand how proteins fold and function.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:30:55|
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 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,317,263 | 331,349 | 28.12 | 0 hrs 51 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 8,742,279 | 205,545 | 42.53 | 0 hrs 34 mins |
| 3 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 7,918,554 | 426,430 | 18.57 | 1 hrs 18 mins |
| 4 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 7,866,800 | 346,237 | 22.72 | 1 hrs 3 mins |
| 5 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 7,052,373 | 50,149 | 140.63 | 0 hrs 10 mins |
| 6 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,303,052 | 272,199 | 23.16 | 1 hrs 2 mins |
| 7 | RTX A4500 GA102GL [RTX A4500] |
Nvidia | GA102GL | 5,836,787 | 39,000 | 149.66 | 0 hrs 10 mins |
| 8 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 5,686,522 | 68,525 | 82.98 | 0 hrs 17 mins |
| 9 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,527,524 | 130,919 | 42.22 | 0 hrs 34 mins |
| 10 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,261,041 | 212,559 | 24.75 | 0 hrs 58 mins |
| 11 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 5,216,616 | 39,000 | 133.76 | 0 hrs 11 mins |
| 12 | Radeon RX 6800(XT)/6900XT Navi 21 [Radeon RX 6800(XT)/6900XT] |
AMD | Navi 21 | 5,110,393 | 284,362 | 17.97 | 1 hrs 20 mins |
| 13 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 4,956,493 | 49,187 | 100.77 | 0 hrs 14 mins |
| 14 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 4,443,079 | 294,298 | 15.10 | 1 hrs 35 mins |
| 15 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 4,100,487 | 39,000 | 105.14 | 0 hrs 14 mins |
| 16 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 4,094,440 | 39,000 | 104.99 | 0 hrs 14 mins |
| 17 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,975,902 | 225,334 | 17.64 | 1 hrs 22 mins |
| 18 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,709,934 | 39,000 | 95.13 | 0 hrs 15 mins |
| 19 | Tesla V100 PCIe 16GB GV100GL [Tesla V100 PCIe 16GB] M 14028 |
Nvidia | GV100GL | 3,641,642 | 39,000 | 93.38 | 0 hrs 15 mins |
|
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|||||||
| 20 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,556,965 | 257,824 | 13.80 | 1 hrs 44 mins |
| 21 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,446,266 | 52,456 | 65.70 | 0 hrs 22 mins |
| 22 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 3,332,015 | 39,000 | 85.44 | 0 hrs 17 mins |
| 23 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,291,384 | 264,093 | 12.46 | 1 hrs 56 mins |
| 24 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,278,524 | 55,516 | 59.06 | 0 hrs 24 mins |
| 25 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,242,660 | 39,000 | 83.15 | 0 hrs 17 mins |
| 26 | GeForce RTX 3070 Mobile / Max-Q GA104M [GeForce RTX 3070 Mobile / Max-Q] |
Nvidia | GA104M | 3,116,944 | 39,000 | 79.92 | 0 hrs 18 mins |
| 27 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,827,635 | 125,098 | 22.60 | 1 hrs 4 mins |
| 28 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 2,796,793 | 39,000 | 71.71 | 0 hrs 20 mins |
| 29 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,775,494 | 39,000 | 71.17 | 0 hrs 20 mins |
| 30 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,700,479 | 228,259 | 11.83 | 2 hrs 2 mins |
| 31 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,643,037 | 248,078 | 10.65 | 2 hrs 15 mins |
| 32 | Quadro P6000 GP102GL [Quadro P6000] |
Nvidia | GP102GL | 2,599,193 | 39,000 | 66.65 | 0 hrs 22 mins |
| 33 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,573,352 | 213,393 | 12.06 | 1 hrs 59 mins |
| 34 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 2,573,040 | 39,000 | 65.98 | 0 hrs 22 mins |
| 35 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 Super] |
Nvidia | TU104 | 2,510,765 | 234,794 | 10.69 | 2 hrs 15 mins |
| 36 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,505,717 | 263,582 | 9.51 | 2 hrs 31 mins |
| 37 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,468,795 | 39,000 | 63.30 | 0 hrs 23 mins |
| 38 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,458,777 | 39,000 | 63.05 | 0 hrs 23 mins |
| 39 | TITAN X GP102 [TITAN X] 6144 |
Nvidia | GP102 | 2,351,364 | 238,579 | 9.86 | 2 hrs 26 mins |
|
|
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| 40 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 2,217,816 | 39,000 | 56.87 | 0 hrs 25 mins |
| 41 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 2,214,675 | 230,990 | 9.59 | 2 hrs 30 mins |
| 42 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,154,953 | 160,626 | 13.42 | 1 hrs 47 mins |
| 43 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 2,132,723 | 229,032 | 9.31 | 2 hrs 35 mins |
| 44 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 2,044,606 | 224,803 | 9.10 | 2 hrs 38 mins |
| 45 | TITAN RTX TU102 [TITAN RTX] 16310 |
Nvidia | TU102 | 1,982,257 | 39,000 | 50.83 | 0 hrs 28 mins |
| 46 | Quadro P5000 GP104GL [Quadro P5000] |
Nvidia | GP104GL | 1,657,042 | 39,000 | 42.49 | 0 hrs 34 mins |
| 47 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,638,150 | 39,000 | 42.00 | 0 hrs 34 mins |
| 48 | GeForce RTX 2060 Mobile / Max-Q TU106M [GeForce RTX 2060 Mobile / Max-Q] |
Nvidia | TU106M | 1,570,562 | 39,000 | 40.27 | 0 hrs 36 mins |
| 49 | Radeon RX 6600(XT/M) Navi 23 XT-XL [Radeon RX 6600(XT/M)] |
AMD | Navi 23 XT-XL | 1,564,910 | 163,672 | 9.56 | 2 hrs 31 mins |
| 50 | RTX A2000 12GB GA106 [RTX A2000 12GB] |
Nvidia | GA106 | 1,497,238 | 39,000 | 38.39 | 0 hrs 38 mins |
| 51 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,437,893 | 39,000 | 36.87 | 0 hrs 39 mins |
| 52 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,417,071 | 199,087 | 7.12 | 3 hrs 22 mins |
| 53 | Geforce RTX 3050 GA106 [Geforce RTX 3050] |
Nvidia | GA106 | 1,409,261 | 39,000 | 36.13 | 0 hrs 40 mins |
| 54 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,403,841 | 177,799 | 7.90 | 3 hrs 2 mins |
| 55 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,394,100 | 39,000 | 35.75 | 0 hrs 40 mins |
| 56 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,353,114 | 194,397 | 6.96 | 3 hrs 27 mins |
| 57 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,345,078 | 107,109 | 12.56 | 1 hrs 55 mins |
| 58 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 1,311,085 | 39,000 | 33.62 | 0 hrs 43 mins |
| 59 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 1,299,475 | 39,000 | 33.32 | 0 hrs 43 mins |
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|||||||
| 60 | RTX A2000 Mobile GA107GLM [RTX A2000 Mobile] |
Nvidia | GA107GLM | 1,297,911 | 39,000 | 33.28 | 0 hrs 43 mins |
| 61 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 1,219,571 | 114,709 | 10.63 | 2 hrs 15 mins |
| 62 | GeForce RTX 3050 Mobile GA107M [GeForce RTX 3050 Mobile] |
Nvidia | GA107M | 1,179,552 | 39,000 | 30.24 | 0 hrs 48 mins |
| 63 | RTX A1000 GA107GL [RTX A1000] |
Nvidia | GA107GL | 1,128,268 | 39,000 | 28.93 | 0 hrs 50 mins |
| 64 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 934,993 | 39,000 | 23.97 | 1 hrs 0 mins |
| 65 | GeForce GTX Titan X GM200 [GeForce GTX Titan X] 6144 |
Nvidia | GM200 | 928,055 | 39,000 | 23.80 | 1 hrs 1 mins |
| 66 | RX 5600 OEM/5600XT/5700(XT) Navi 10 [RX 5600 OEM/5600XT/5700(XT)] |
AMD | Navi 10 | 884,073 | 39,000 | 22.67 | 1 hrs 4 mins |
| 67 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 881,446 | 39,000 | 22.60 | 1 hrs 4 mins |
| 68 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 851,518 | 132,860 | 6.41 | 3 hrs 45 mins |
| 69 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 843,409 | 39,000 | 21.63 | 1 hrs 7 mins |
| 70 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 788,979 | 155,950 | 5.06 | 4 hrs 45 mins |
| 71 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 758,679 | 169,536 | 4.48 | 5 hrs 22 mins |
| 72 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 742,210 | 168,070 | 4.42 | 5 hrs 26 mins |
| 73 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 722,038 | 158,101 | 4.57 | 5 hrs 15 mins |
| 74 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 678,432 | 155,137 | 4.37 | 5 hrs 29 mins |
| 75 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 598,422 | 39,000 | 15.34 | 1 hrs 34 mins |
| 76 | GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463 |
Nvidia | GP104BM | 595,758 | 39,000 | 15.28 | 1 hrs 34 mins |
| 77 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 574,405 | 158,474 | 3.62 | 6 hrs 37 mins |
| 78 | RX 5500(M)/Pro 5500M Navi 14 [RX 5500(M)/Pro 5500M] |
AMD | Navi 14 | 518,115 | 39,000 | 13.29 | 1 hrs 48 mins |
| 79 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 486,849 | 39,000 | 12.48 | 1 hrs 55 mins |
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| 80 | Quadro P2000 GP106GL [Quadro P2000] [MED-XN71] 3935 |
Nvidia | GP106GL | 475,383 | 39,000 | 12.19 | 1 hrs 58 mins |
| 81 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 459,585 | 73,621 | 6.24 | 3 hrs 51 mins |
| 82 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 443,956 | 115,717 | 3.84 | 6 hrs 15 mins |
| 83 | GeForce GTX 1650 TU106 [GeForce GTX 1650] |
Nvidia | TU106 | 408,828 | 39,000 | 10.48 | 2 hrs 17 mins |
| 84 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 394,903 | 39,000 | 10.13 | 2 hrs 22 mins |
| 85 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 355,853 | 89,343 | 3.98 | 6 hrs 2 mins |
| 86 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 355,589 | 76,830 | 4.63 | 5 hrs 11 mins |
| 87 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 251,721 | 40,554 | 6.21 | 3 hrs 52 mins |
| 88 | GeForce GTX 770 GK104 [GeForce GTX 770] 3213 |
Nvidia | GK104 | 218,701 | 39,000 | 5.61 | 4 hrs 17 mins |
| 89 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 190,168 | 39,000 | 4.88 | 4 hrs 55 mins |
| 90 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 189,717 | 102,460 | 1.85 | 12 hrs 58 mins |
| 91 | GeForce GTX 760 GK104 [GeForce GTX 760] 2258 |
Nvidia | GK104 | 124,068 | 39,000 | 3.18 | 7 hrs 33 mins |
| 92 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 118,325 | 42,926 | 2.76 | 8 hrs 42 mins |
| 93 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 99,212 | 58,559 | 1.69 | 14 hrs 10 mins |
| 94 | GeForce MX250 GP108M [GeForce MX250] |
Nvidia | GP108M | 64,464 | 84,159 | 0.77 | 31 hrs 20 mins |
| 95 | GeForce MX350 GP107M [GeForce MX350] |
Nvidia | GP107M | 53,850 | 39,000 | 1.38 | 17 hrs 23 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:30:55|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|---|---|---|---|---|
| 1 | CORE I5-7400 CPU @ 3.00GHZ | 4 | Intel | ||
| 2 | 12TH GEN CORE I5-12400F | 12 | Intel |