RESEARCH: FORCE-FIELD-PROTEIN-SIMULATION
FOLDING PROJECT #18242 PROFILE
PROJECT TEAM
Manager(s): Justin MillerInstitution: University of Pennsylvania
WORK UNIT INFO
Atoms: 155,541Core: 0x26
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project studies how well different computer models (force fields) simulate how proteins move and change shape. They're using a well-studied protein called lysozyme as a test case because lots of information is already known about it. The goal is to create better force fields that can accurately predict how proteins behave, which will help scientists understand diseases and design 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
Mathematical models describing interactions between atoms in molecular simulations.
Force fields are used in computer simulations to represent the forces acting between atoms. They allow scientists to study how molecules move and interact, providing insights into biological processes and material properties.
Molecular dynamics
Simulation of molecular motion based on Newton's laws of physics.
Molecular dynamics simulations are used to study the movement and interactions of atoms and molecules over time. This helps researchers understand how proteins fold, how drugs bind to targets, and other complex biological processes.
Newton's laws of motion
Fundamental principles describing the relationship between force, mass, and motion.
Newton's laws of motion are essential for understanding how objects move. They describe how a force applied to an object changes its velocity, and how objects interact with each other through forces.
Atom
The basic building block of matter.
Atoms are the smallest units of an element that retain its chemical properties. They consist of a nucleus containing protons and neutrons, surrounded by electrons.
Protein
Large biomolecules essential for various biological functions.
Proteins are complex molecules made up of amino acids. They perform a wide range of functions in living organisms, including catalyzing reactions, transporting molecules, and providing structural support.
Lysozyme
An enzyme that breaks down bacterial cell walls.
Lysozyme is a protein found in tears, saliva, and mucus that helps defend against bacterial infections. It works by breaking down the peptidoglycan layer in bacterial cell walls.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:30:56|
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 | 9,657,014 | 457,722 | 21.10 | 1 hrs 8 mins |
| 2 | GeForce RTX 3080 Ti GA102 [GeForce RTX 3080 Ti] |
Nvidia | GA102 | 9,268,697 | 309,670 | 29.93 | 0 hrs 48 mins |
| 3 | GeForce RTX 3080 Lite Hash Rate GA102 [GeForce RTX 3080 Lite Hash Rate] |
Nvidia | GA102 | 8,095,530 | 503,304 | 16.08 | 1 hrs 30 mins |
| 4 | Radeon RX 7900XT/XTX/GRE Navi 31 [Radeon RX 7900XT/XTX/GRE] |
AMD | Navi 31 | 7,575,351 | 87,195 | 86.88 | 0 hrs 17 mins |
| 5 | GeForce RTX 3080 GA102 [GeForce RTX 3080] |
Nvidia | GA102 | 6,577,654 | 339,659 | 19.37 | 1 hrs 14 mins |
| 6 | GeForce RTX 4060 Ti AD106 [GeForce RTX 4060 Ti] |
Nvidia | AD106 | 6,527,939 | 494,973 | 13.19 | 1 hrs 49 mins |
| 7 | RTX A4500 GA102GL [RTX A4500] |
Nvidia | GA102GL | 5,891,610 | 65,000 | 90.64 | 0 hrs 16 mins |
| 8 | GeForce RTX 3070 Ti GA104 [GeForce RTX 3070 Ti] |
Nvidia | GA104 | 5,830,679 | 254,372 | 22.92 | 1 hrs 3 mins |
| 9 | Radeon RX 9070(XT) Navi 48 [Radeon RX 9070(XT)] |
AMD | Navi 48 | 5,721,760 | 128,489 | 44.53 | 0 hrs 32 mins |
| 10 | TITAN V GV100 [TITAN V] M 12288 |
Nvidia | GV100 | 5,265,715 | 65,000 | 81.01 | 0 hrs 18 mins |
| 11 | Radeon RX 6800(XT)/6900XT Navi 21 [Radeon RX 6800(XT)/6900XT] |
AMD | Navi 21 | 5,225,692 | 414,075 | 12.62 | 1 hrs 54 mins |
| 12 | Radeon RX 6950 XT Navi 21 [Radeon RX 6950 XT] |
AMD | Navi 21 | 5,128,270 | 68,165 | 75.23 | 0 hrs 19 mins |
| 13 | GeForce RTX 3070 Lite Hash Rate GA104 [GeForce RTX 3070 Lite Hash Rate] |
Nvidia | GA104 | 5,089,090 | 346,312 | 14.70 | 1 hrs 38 mins |
| 14 | Tesla V100 PCIe 16GB GV100GL [Tesla V100 PCIe 16GB] M 14028 |
Nvidia | GV100GL | 4,632,202 | 65,000 | 71.26 | 0 hrs 20 mins |
| 15 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 4,123,149 | 316,156 | 13.04 | 1 hrs 50 mins |
| 16 | RTX A4000 GA104GL [RTX A4000] |
Nvidia | GA104GL | 4,004,119 | 65,000 | 61.60 | 0 hrs 23 mins |
| 17 | Radeon RX 7700XT/7800XT Navi 32 [Radeon RX 7700XT/7800XT] |
AMD | Navi 32 | 3,825,926 | 65,000 | 58.86 | 0 hrs 24 mins |
| 18 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 3,684,046 | 65,000 | 56.68 | 0 hrs 25 mins |
| 19 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 3,490,046 | 302,185 | 11.55 | 2 hrs 5 mins |
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|||||||
| 20 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,457,537 | 94,057 | 36.76 | 0 hrs 39 mins |
| 21 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,330,724 | 85,200 | 39.09 | 0 hrs 37 mins |
| 22 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] |
Nvidia | TU106 | 3,304,421 | 65,000 | 50.84 | 0 hrs 28 mins |
| 23 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 3,261,962 | 365,614 | 8.92 | 2 hrs 41 mins |
| 24 | GeForce RTX 4060 AD107 [GeForce RTX 4060] |
Nvidia | AD107 | 3,178,175 | 65,000 | 48.90 | 0 hrs 29 mins |
| 25 | Radeon RX 9060(XT) Navi 44 [Radeon RX 9060(XT)] |
AMD | Navi 44 | 2,915,965 | 187,425 | 15.56 | 1 hrs 33 mins |
| 26 | TITAN Xp GP102 [TITAN Xp] 12150 |
Nvidia | GP102 | 2,862,603 | 65,000 | 44.04 | 0 hrs 33 mins |
| 27 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 Super] |
Nvidia | TU106 | 2,808,074 | 158,194 | 17.75 | 1 hrs 21 mins |
| 28 | GeForce RTX 2070 TU106 [GeForce RTX 2070] |
Nvidia | TU106 | 2,803,703 | 329,829 | 8.50 | 2 hrs 49 mins |
| 29 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,739,899 | 66,088 | 41.46 | 0 hrs 35 mins |
| 30 | GeForce RTX 3060 Lite Hash Rate GA106 [GeForce RTX 3060 Lite Hash Rate] |
Nvidia | GA106 | 2,601,109 | 258,249 | 10.07 | 2 hrs 23 mins |
| 31 | GeForce RTX 4060 Max-Q / Mobile AD107M [GeForce RTX 4060 Max-Q / Mobile] |
Nvidia | AD107M | 2,562,314 | 293,826 | 8.72 | 2 hrs 45 mins |
| 32 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 2,540,335 | 65,000 | 39.08 | 0 hrs 37 mins |
| 33 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 2,407,038 | 65,000 | 37.03 | 0 hrs 39 mins |
| 34 | GeForce RTX 3060 GA104 [GeForce RTX 3060] |
Nvidia | GA104 | 2,385,911 | 65,000 | 36.71 | 0 hrs 39 mins |
| 35 | Radeon RX 6700(XT)/6800M Navi 22 XT-XL [Radeon RX 6700(XT)/6800M] |
AMD | Navi 22 XT-XL | 2,383,939 | 65,000 | 36.68 | 0 hrs 39 mins |
| 36 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,223,948 | 306,329 | 7.26 | 3 hrs 18 mins |
| 37 | GeForce RTX 3080 Mobile / Max-Q 8GB/16GB GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB] |
Nvidia | GA104M | 2,220,544 | 65,000 | 34.16 | 0 hrs 42 mins |
| 38 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 2,202,832 | 235,009 | 9.37 | 2 hrs 34 mins |
| 39 | TITAN RTX TU102 [TITAN RTX] 16310 |
Nvidia | TU102 | 2,140,697 | 65,000 | 32.93 | 0 hrs 44 mins |
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|
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| 40 | Quadro RTX 5000 TU104GL [Quadro RTX 5000] |
Nvidia | TU104GL | 2,140,397 | 65,000 | 32.93 | 0 hrs 44 mins |
| 41 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 2,108,048 | 341,484 | 6.17 | 3 hrs 53 mins |
| 42 | GeForce RTX 2070 Mobile TU106BM [GeForce RTX 2070 Mobile] |
Nvidia | TU106BM | 2,081,372 | 321,152 | 6.48 | 3 hrs 42 mins |
| 43 | Quadro P6000 GP102GL [Quadro P6000] |
Nvidia | GP102GL | 2,040,917 | 65,000 | 31.40 | 0 hrs 46 mins |
| 44 | Radeon RX 6650XT Navi 23 [Radeon RX 6650XT] |
AMD | Navi 23 | 1,914,698 | 311,457 | 6.15 | 3 hrs 54 mins |
| 45 | GeForce RTX 2070 Mobile / Max-Q Refresh TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh] |
Nvidia | TU106M | 1,823,082 | 295,638 | 6.17 | 3 hrs 54 mins |
| 46 | Radeon RX 6650 XT Navi 23 [Radeon RX 6650 XT] |
AMD | Navi 23 | 1,738,647 | 65,000 | 26.75 | 0 hrs 54 mins |
| 47 | GeForce GTX 960 GM206 [GeForce GTX 960] 2308 |
Nvidia | GM206 | 1,619,484 | 65,000 | 24.92 | 0 hrs 58 mins |
| 48 | GeForce RTX 2060 Mobile / Max-Q TU106M [GeForce RTX 2060 Mobile / Max-Q] |
Nvidia | TU106M | 1,541,207 | 65,000 | 23.71 | 1 hrs 1 mins |
| 49 | Radeon RX 6600(XT/M) Navi 23 XT-XL [Radeon RX 6600(XT/M)] |
AMD | Navi 23 XT-XL | 1,540,149 | 243,050 | 6.34 | 3 hrs 47 mins |
| 50 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 1,502,280 | 65,000 | 23.11 | 1 hrs 2 mins |
| 51 | RTX A2000 GA106 [RTX A2000] |
Nvidia | GA106 | 1,498,721 | 65,000 | 23.06 | 1 hrs 2 mins |
| 52 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,418,106 | 273,982 | 5.18 | 4 hrs 38 mins |
| 53 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,393,489 | 257,599 | 5.41 | 4 hrs 26 mins |
| 54 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,313,017 | 276,206 | 4.75 | 5 hrs 3 mins |
| 55 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,279,921 | 68,703 | 18.63 | 1 hrs 17 mins |
| 56 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 1,267,884 | 65,000 | 19.51 | 1 hrs 14 mins |
| 57 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 1,234,685 | 74,293 | 16.62 | 1 hrs 27 mins |
| 58 | Quadro P5000 GP104GL [Quadro P5000] |
Nvidia | GP104GL | 1,138,156 | 65,000 | 17.51 | 1 hrs 22 mins |
| 59 | RTX A1000 GA107GL [RTX A1000] |
Nvidia | GA107GL | 1,110,981 | 65,000 | 17.09 | 1 hrs 24 mins |
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| 60 | GeForce GTX 970 GM204 [GeForce GTX 970] 3494 |
Nvidia | GM204 | 1,087,427 | 65,000 | 16.73 | 1 hrs 26 mins |
| 61 | GeForce GTX 980 GM204 [GeForce GTX 980] 4612 |
Nvidia | GM204 | 1,047,129 | 65,000 | 16.11 | 1 hrs 29 mins |
| 62 | GeForce GTX Titan X GM200 [GeForce GTX Titan X] 6144 |
Nvidia | GM200 | 1,035,578 | 65,000 | 15.93 | 1 hrs 30 mins |
| 63 | RTX A2000 Mobile GA107GLM [RTX A2000 Mobile] |
Nvidia | GA107GLM | 1,026,407 | 65,000 | 15.79 | 1 hrs 31 mins |
| 64 | RX 5600 OEM/5600XT/5700(XT) Navi 10 [RX 5600 OEM/5600XT/5700(XT)] |
AMD | Navi 10 | 976,092 | 65,000 | 15.02 | 1 hrs 36 mins |
| 65 | Quadro P2000 GP106GL [Quadro P2000] [MED-XN71] 3935 |
Nvidia | GP106GL | 879,150 | 65,000 | 13.53 | 1 hrs 46 mins |
| 66 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 867,813 | 234,603 | 3.70 | 6 hrs 29 mins |
| 67 | GeForce GTX 1070 Mobile GP104BM [GeForce GTX 1070 Mobile] 6463 |
Nvidia | GP104BM | 773,157 | 65,000 | 11.89 | 2 hrs 1 mins |
| 68 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 713,800 | 221,825 | 3.22 | 7 hrs 28 mins |
| 69 | Radeon RX 7700S/7600S Navi 33 [Radeon RX 7700S/7600S] |
AMD | Navi 33 | 709,635 | 65,000 | 10.92 | 2 hrs 12 mins |
| 70 | Tesla P4 GP104GL [Tesla P4] 5704 |
Nvidia | GP104GL | 649,515 | 216,325 | 3.00 | 7 hrs 60 mins |
| 71 | Quadro P3200 Mobile GP104GLM [Quadro P3200 Mobile] |
Nvidia | GP104GLM | 646,461 | 218,788 | 2.95 | 8 hrs 7 mins |
| 72 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 638,262 | 235,400 | 2.71 | 8 hrs 51 mins |
| 73 | Quadro P2200 GP106GL [Quadro P2200] |
Nvidia | GP106GL | 610,718 | 65,000 | 9.40 | 2 hrs 33 mins |
| 74 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 584,828 | 220,210 | 2.66 | 9 hrs 2 mins |
| 75 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 576,396 | 115,557 | 4.99 | 4 hrs 49 mins |
| 76 | R9 Fury X/NANO Fiji XT [R9 Fury X/NANO] |
AMD | Fiji XT | 569,715 | 66,105 | 8.62 | 2 hrs 47 mins |
| 77 | RX 5500(M)/Pro 5500M Navi 14 [RX 5500(M)/Pro 5500M] |
AMD | Navi 14 | 532,278 | 65,000 | 8.19 | 2 hrs 56 mins |
| 78 | GeForce RTX 3050 6GB GA107 [GeForce RTX 3050 6GB] |
Nvidia | GA107 | 498,094 | 65,000 | 7.66 | 3 hrs 8 mins |
| 79 | GeForce GTX 1650 TU106 [GeForce GTX 1650] |
Nvidia | TU106 | 430,586 | 65,000 | 6.62 | 3 hrs 37 mins |
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| 80 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 3091 |
Nvidia | TU116 | 419,514 | 191,816 | 2.19 | 10 hrs 58 mins |
| 81 | GeForce GTX 1650 TU117 [GeForce GTX 1650] |
Nvidia | TU117 | 417,869 | 104,431 | 4.00 | 5 hrs 60 mins |
| 82 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 392,321 | 65,000 | 6.04 | 3 hrs 59 mins |
| 83 | GeForce GTX 1050 Ti GP107 [GeForce GTX 1050 Ti] 2138 |
Nvidia | GP107 | 314,171 | 144,349 | 2.18 | 11 hrs 2 mins |
| 84 | Quadro T1000 Mobile TU117GLM [Quadro T1000 Mobile] |
Nvidia | TU117GLM | 274,569 | 65,000 | 4.22 | 5 hrs 41 mins |
| 85 | Radeon 740M/760M/780M Phoenix [Radeon 740M/760M/780M] |
AMD | Phoenix | 253,491 | 65,000 | 3.90 | 6 hrs 9 mins |
| 86 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 237,081 | 67,055 | 3.54 | 6 hrs 47 mins |
| 87 | GeForce GTX 750 Ti GM107 [GeForce GTX 750 Ti] 1389 |
Nvidia | GM107 | 188,829 | 65,000 | 2.91 | 8 hrs 16 mins |
| 88 | Quadro P620 GP107GL [Quadro P620] |
Nvidia | GP107GL | 179,964 | 141,547 | 1.27 | 18 hrs 53 mins |
| 89 | GeForce GT 1030 GP108 [GeForce GT 1030] |
Nvidia | GP108 | 115,811 | 67,046 | 1.73 | 13 hrs 54 mins |
| 90 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 80,900 | 65,000 | 1.24 | 19 hrs 17 mins |
| 91 | GeForce MX250 GP108M [GeForce MX250] |
Nvidia | GP108M | 70,674 | 121,347 | 0.58 | 41 hrs 12 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:30:56|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|---|---|---|---|---|
| 1 | CORE I7-2700K CPU @ 3.50GHZ | 8 | 111,637 | 893,096 | Intel |
| 2 | RYZEN 7 5700X 8-CORE | 16 | AMD |