RESEARCH: FORCE-FIELD-PROTEIN-DYNAMICS
FOLDING PROJECT #18235 PROFILE
PROJECT TEAM
Manager(s): Justin MillerInstitution: University of Pennsylvania
WORK UNIT INFO
Atoms: 117,186Core: 0x24
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project studies how well different computer models simulate the behavior of proteins like lysozyme. They use a protein called T4 Lysozyme because scientists have already studied it a lot. The goal is to improve these computer models so they can accurately predict how proteins fold and function, which is important for understanding diseases and developing 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 18239- Amber99SB-star-ILDN with TIP4PD water 18240- Amber99SB-disp with TIP4PD-1.6 water.
RELATED TERMS GLOSSARY AI BETA
Force fields
A collective model describing how to calculate forces on atoms in a simulation.
Force fields are mathematical models used in molecular dynamics simulations to describe the interactions between atoms. They are essential for accurately simulating the movement and behavior of molecules.
Molecular Dynamics
A computational method for simulating the movement and interactions of atoms and molecules.
Molecular dynamics simulations use computer algorithms to model the behavior of atoms and molecules over time. This allows scientists to study how molecules interact and move, which is essential for understanding biological processes and designing new drugs.
Newton's laws of motion
Fundamental principles that govern the motion of objects.
Newton's laws of motion describe how forces affect the motion of objects. These laws are essential for understanding a wide range of phenomena, from the motion of planets to the behavior of everyday objects.
Femtoseconds
A unit of time equal to 10^-15 seconds.
Femtoseconds are incredibly short units of time, used to measure extremely fast events. In molecular dynamics simulations, femtoseconds represent the small time steps taken to update the positions and velocities of atoms.
Protein
A large biological molecule composed of amino acids.
Proteins are essential molecules that perform a wide variety of functions in living organisms. They are involved in everything from catalyzing biochemical reactions to transporting molecules across cell membranes.
Lysozyme
An enzyme that breaks down bacterial cell walls.
Lysozyme is an antibacterial enzyme found in many organisms, including humans. It plays a crucial role in the immune system by breaking down the cell walls of bacteria.
Folding@home
A distributed computing project that uses volunteer computer time to simulate protein folding.
Folding@home is a large-scale computing project that harnesses the power of thousands of volunteer computers to simulate how proteins fold. These simulations help researchers understand the complex process of protein folding and its role in disease.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:31:09|
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 | 17,909,268 | 485,193 | 36.91 | 0 hrs 39 mins |
| 2 | GeForce RTX 4080 SUPER AD103 [GeForce RTX 4080 SUPER] |
Nvidia | AD103 | 16,972,490 | 484,272 | 35.05 | 0 hrs 41 mins |
| 3 | GeForce RTX 4080 AD103 [GeForce RTX 4080] |
Nvidia | AD103 | 14,424,552 | 455,562 | 31.66 | 0 hrs 45 mins |
| 4 | GeForce RTX 4070 Ti SUPER AD103 [GeForce RTX 4070 Ti SUPER] |
Nvidia | AD103 | 11,666,006 | 428,146 | 27.25 | 0 hrs 53 mins |
| 5 | GeForce RTX 4070 SUPER AD104 [GeForce RTX 4070 SUPER] |
Nvidia | AD104 | 11,015,548 | 413,496 | 26.64 | 0 hrs 54 mins |
| 6 | GeForce RTX 4070 Ti AD104 [GeForce RTX 4070 Ti] |
Nvidia | AD104 | 10,962,332 | 416,240 | 26.34 | 0 hrs 55 mins |
| 7 | GeForce RTX 3090 Ti GA102 [GeForce RTX 3090 Ti] |
Nvidia | GA102 | 9,915,431 | 400,725 | 24.74 | 0 hrs 58 mins |
| 8 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 9,848,156 | 399,422 | 24.66 | 0 hrs 58 mins |
| 9 | GeForce RTX 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 9,270,052 | 391,646 | 23.67 | 1 hrs 1 mins |
| 10 | GeForce RTX 3080 12GB GA102 [GeForce RTX 3080 12GB] |
Nvidia | GA102 | 8,030,798 | 374,181 | 21.46 | 1 hrs 7 mins |
| 11 | GeForce RTX 4070 AD104 [GeForce RTX 4070] |
Nvidia | AD104 | 7,914,219 | 369,907 | 21.40 | 1 hrs 7 mins |
| 12 | RTX 5000 Ada Generation Laptop GPU AD103GLM [RTX 5000 Ada Generation Laptop GPU] |
Nvidia | AD103GLM | 7,777,409 | 372,657 | 20.87 | 1 hrs 9 mins |
| 13 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 7,120,278 | 359,864 | 19.79 | 1 hrs 13 mins |
| 14 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 7,080,287 | 359,995 | 19.67 | 1 hrs 13 mins |
| 15 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,591,205 | 348,544 | 18.91 | 1 hrs 16 mins |
| 16 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 6,080,311 | 208,686 | 29.14 | 0 hrs 49 mins |
| 17 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 5,934,990 | 42,250 | 140.47 | 0 hrs 10 mins |
| 18 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,408,330 | 321,236 | 16.84 | 1 hrs 26 mins |
| 19 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,381,163 | 328,196 | 16.40 | 1 hrs 28 mins |
|
|
|||||||
| 20 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 5,377,854 | 314,622 | 17.09 | 1 hrs 24 mins |
| 21 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 5,046,050 | 320,581 | 15.74 | 1 hrs 31 mins |
| 22 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 4,623,851 | 314,057 | 14.72 | 1 hrs 38 mins |
| 23 | Radeon RX 6900 XT Navi 21 [Radeon RX 6900 XT] |
AMD | Navi 21 | 4,283,083 | 280,840 | 15.25 | 1 hrs 34 mins |
| 24 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 3,994,349 | 232,234 | 17.20 | 1 hrs 24 mins |
| 25 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,932,040 | 287,712 | 13.67 | 1 hrs 45 mins |
| 26 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 3,872,480 | 289,619 | 13.37 | 1 hrs 48 mins |
| 27 | Radeon RX 6800(XT)/6900XT Navi 21 [Radeon RX 6800(XT)/6900XT] |
AMD | Navi 21 | 3,725,713 | 285,886 | 13.03 | 1 hrs 50 mins |
| 28 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,575,952 | 243,152 | 14.71 | 1 hrs 38 mins |
| 29 | Radeon RX 6800/6800XT/6900XT Navi 21 [Radeon RX 6800/6800XT/6900XT] |
AMD | Navi 21 | 3,568,388 | 265,927 | 13.42 | 1 hrs 47 mins |
| 30 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,305,901 | 278,369 | 11.88 | 2 hrs 1 mins |
| 31 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 3,147,811 | 275,555 | 11.42 | 2 hrs 6 mins |
| 32 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 3,016,589 | 270,507 | 11.15 | 2 hrs 9 mins |
| 33 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,980,529 | 268,442 | 11.10 | 2 hrs 10 mins |
| 34 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 2,961,534 | 270,643 | 10.94 | 2 hrs 12 mins |
| 35 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,927,125 | 266,737 | 10.97 | 2 hrs 11 mins |
| 36 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 2,706,341 | 260,854 | 10.37 | 2 hrs 19 mins |
| 37 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,579,803 | 253,709 | 10.17 | 2 hrs 22 mins |
| 38 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,385,222 | 236,582 | 10.08 | 2 hrs 23 mins |
| 39 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,284,052 | 247,750 | 9.22 | 2 hrs 36 mins |
|
|
|||||||
| 40 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 2,275,481 | 245,051 | 9.29 | 2 hrs 35 mins |
| 41 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,235,290 | 246,161 | 9.08 | 2 hrs 39 mins |
| 42 | Radeon RX 6700/6700XT/6800M Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M] |
AMD | Navi 22 XT-XL | 2,190,536 | 161,470 | 13.57 | 1 hrs 46 mins |
| 43 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 2,189,560 | 243,008 | 9.01 | 2 hrs 40 mins |
| 44 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,185,885 | 233,018 | 9.38 | 2 hrs 34 mins |
| 45 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 2,113,098 | 239,559 | 8.82 | 2 hrs 43 mins |
| 46 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,871,136 | 232,310 | 8.05 | 2 hrs 59 mins |
| 47 | GeForce RTX 3050 8GB GA107 [GeForce RTX 3050 8GB] |
Nvidia | GA107 | 1,518,575 | 216,596 | 7.01 | 3 hrs 25 mins |
| 48 | Radeon RX 6600(XT/M) Navi 23 XT-XL [Radeon RX 6600(XT/M)] |
AMD | Navi 23 XT-XL | 1,509,972 | 205,658 | 7.34 | 3 hrs 16 mins |
| 49 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,503,471 | 214,467 | 7.01 | 3 hrs 25 mins |
| 50 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,398,516 | 210,106 | 6.66 | 3 hrs 36 mins |
| 51 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,377,224 | 210,162 | 6.55 | 3 hrs 40 mins |
| 52 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,375,668 | 182,205 | 7.55 | 3 hrs 11 mins |
| 53 | GeForce GTX Titan X GM200 [GeForce GTX Titan X] 6144 |
Nvidia | GM200 | 1,322,941 | 197,617 | 6.69 | 3 hrs 35 mins |
| 54 | GeForce RTX 3050 Ti Mobile GA107M [GeForce RTX 3050 Ti Mobile] |
Nvidia | GA107M | 1,282,227 | 203,422 | 6.30 | 3 hrs 48 mins |
| 55 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,173,388 | 197,098 | 5.95 | 4 hrs 2 mins |
| 56 | Radeon Pro W5700 Navi 10 [Radeon Pro W5700] |
AMD | Navi 10 | 1,160,036 | 189,961 | 6.11 | 3 hrs 56 mins |
| 57 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,118,367 | 197,001 | 5.68 | 4 hrs 14 mins |
| 58 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,077,126 | 180,876 | 5.96 | 4 hrs 2 mins |
| 59 | RX 5600 OEM/5600XT/5700(XT) Navi 10 [RX 5600 OEM/5600XT/5700(XT)] |
AMD | Navi 10 | 943,349 | 188,950 | 4.99 | 4 hrs 48 mins |
|
|
|||||||
| 60 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 899,333 | 166,536 | 5.40 | 4 hrs 27 mins |
| 61 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 884,545 | 180,158 | 4.91 | 4 hrs 53 mins |
| 62 | RX 5600 OEM/5600XT/5700/5700XT Navi 10 [RX 5600 OEM/5600XT/5700/5700XT] |
AMD | Navi 10 | 872,843 | 178,914 | 4.88 | 4 hrs 55 mins |
| 63 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 818,009 | 100,205 | 8.16 | 2 hrs 56 mins |
| 64 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 750,096 | 170,565 | 4.40 | 5 hrs 27 mins |
| 65 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 721,147 | 159,219 | 4.53 | 5 hrs 18 mins |
| 66 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 719,712 | 176,408 | 4.08 | 5 hrs 53 mins |
| 67 | GeForce GTX 780 GK110 [GeForce GTX 780] 3977 |
Nvidia | GK110 | 631,246 | 144,122 | 4.38 | 5 hrs 29 mins |
| 68 | RX 5500/5500M/Pro 5500M Navi 14 [RX 5500/5500M/Pro 5500M] |
AMD | Navi 14 | 627,068 | 161,572 | 3.88 | 6 hrs 11 mins |
| 69 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 606,714 | 42,250 | 14.36 | 1 hrs 40 mins |
| 70 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 564,265 | 164,339 | 3.43 | 6 hrs 59 mins |
| 71 | Quadro P5000 GP104GL [Quadro P5000] |
Nvidia | GP104GL | 519,323 | 78,668 | 6.60 | 3 hrs 38 mins |
| 72 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 494,379 | 152,938 | 3.23 | 7 hrs 25 mins |
| 73 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 351,071 | 146,469 | 2.40 | 10 hrs 1 mins |
| 74 | GeForce GTX 1050 3 GB Max-Q GP107M [GeForce GTX 1050 3 GB Max-Q] |
Nvidia | GP107M | 343,885 | 132,293 | 2.60 | 9 hrs 14 mins |
| 75 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 321,489 | 42,250 | 7.61 | 3 hrs 9 mins |
| 76 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 310,806 | 105,801 | 2.94 | 8 hrs 10 mins |
| 77 | GeForce GTX Titan Black GK110 [GeForce GTX Titan Black] 5121 |
Nvidia | GK110 | 286,186 | 138,500 | 2.07 | 11 hrs 37 mins |
| 78 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 281,726 | 122,774 | 2.29 | 10 hrs 28 mins |
| 79 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 257,945 | 119,479 | 2.16 | 11 hrs 7 mins |
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| 80 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 239,516 | 104,708 | 2.29 | 10 hrs 30 mins |
| 81 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 219,815 | 71,964 | 3.05 | 7 hrs 51 mins |
| 82 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 184,724 | 107,089 | 1.72 | 13 hrs 55 mins |
| 83 | GeForce GTX 1050 Ti Mobile GP107M [GeForce GTX 1050 Ti Mobile] |
Nvidia | GP107M | 171,942 | 105,634 | 1.63 | 14 hrs 45 mins |
| 84 | Quadro K1200 GM107GL [Quadro K1200] |
Nvidia | GM107GL | 97,727 | 84,521 | 1.16 | 20 hrs 45 mins |
| 85 | GeForce MX250 GP108M [GeForce MX250] |
Nvidia | GP108M | 93,413 | 93,455 | 1.00 | 24 hrs 1 mins |
| 86 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 83,688 | 64,739 | 1.29 | 18 hrs 34 mins |
| 87 | Ryzen 7000 Series iGPU Raphael [Ryzen 7000 Series iGPU] |
AMD | Raphael | 35,454 | 61,958 | 0.57 | 41 hrs 56 mins |
| 88 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 21,125 | 42,250 | 0.50 | 48 hrs 0 mins |
| 89 | GeForce GT 710 GK208B [GeForce GT 710] 366 |
Nvidia | GK208B | 10,674 | 42,250 | 0.25 | 94 hrs 60 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:31:09|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|