RESEARCH: MOLECULAR-DYNAMICS-FORCE-FIELDS
FOLDING PROJECT #18244 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 155,386
Core: 0x26
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project tests different computer models used to simulate how atoms in proteins move. They use a well-studied protein called lysozyme to see how accurate each model is. The goal is to improve these models so scientists can better understand how proteins work.

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

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

Force fields

A collective model describing how to calculate forces on atoms in a molecular dynamics simulation.

Technical: Biotechnology
Molecular Dynamics Simulations / Biophysics

Force fields are computational models used in molecular dynamics simulations to describe the interactions between atoms. They are essential for accurately simulating the behavior of molecules, such as proteins and DNA.


Molecular Dynamics Simulations

Computer simulations that model the motion of atoms and molecules over time.

Technical: Biotechnology
Biophysics / Computational Biology

Molecular dynamics simulations are a powerful tool for studying the behavior of molecules. They work by simulating the movement of atoms and molecules according to the laws of physics. This allows scientists to understand how molecules interact with each other and their environment.


Newton's laws of motion

Fundamental principles that govern the motion of objects.

Scientific: Academia Research
Physics / Classical Mechanics

Newton's laws of motion describe how forces affect the movement of objects. They are fundamental to understanding the physical world and are used in many different fields, including engineering and astronomy.


Femtoseconds

A unit of time equal to 10^-15 seconds.

Technical: Academia Research
Physics / Time Measurement

Femtoseconds are incredibly short units of time. They are used to measure the extremely fast processes that occur in atoms and molecules.


Proteins

Large, complex molecules that play many essential roles in living organisms.

Scientific: Biotechnology
Biochemistry / Molecular Biology

Proteins are the workhorses of cells, carrying out a vast array of functions. They are made up of chains of amino acids and fold into specific shapes that allow them to perform their tasks.


T4 Lysozyme

An enzyme that breaks down bacterial cell walls.

Scientific: Biotechnology
Biochemistry / Enzyme Studies

T4 Lysozyme is a well-studied enzyme that plays an important role in the immune system. It is used to study how proteins fold and function.


Folding@home

A distributed computing project that uses volunteer computer power to simulate protein folding.

Technical: Academia Research
Bioinformatics / Distributed Computing

Folding@home is a scientific research project that harnesses the power of thousands of computers to simulate the complex process of protein folding. This helps scientists understand how proteins work and develop new drugs.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:30:53
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 9,672,486 523,586 18.47 1 hrs 18 mins
2 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 9,369,285 298,047 31.44 0 hrs 46 mins
3 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 8,365,586 532,183 15.72 1 hrs 32 mins
4 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 7,220,985 93,746 77.03 0 hrs 19 mins
5 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 6,693,825 339,907 19.69 1 hrs 13 mins
6 RTX A4500
GA102GL [RTX A4500]
Nvidia GA102GL 6,000,599 71,800 83.57 0 hrs 17 mins
7 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 5,890,857 475,725 12.38 1 hrs 56 mins
8 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 5,863,500 245,139 23.92 1 hrs 0 mins
9 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 5,594,925 126,650 44.18 0 hrs 33 mins
10 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 5,367,856 71,800 74.76 0 hrs 19 mins
11 Radeon RX 6800(XT)/6900XT
Navi 21 [Radeon RX 6800(XT)/6900XT]
AMD Navi 21 5,201,350 445,474 11.68 2 hrs 3 mins
12 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 5,170,510 369,413 14.00 1 hrs 43 mins
13 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 4,942,899 76,094 64.96 0 hrs 22 mins
14 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,427,441 316,973 13.97 1 hrs 43 mins
15 Quadro P6000
GP102GL [Quadro P6000]
Nvidia GP102GL 4,128,833 71,800 57.50 0 hrs 25 mins
16 RTX A4000
GA104GL [RTX A4000]
Nvidia GA104GL 4,104,119 71,800 57.16 0 hrs 25 mins
17 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 3,844,901 71,800 53.55 0 hrs 27 mins
18 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 3,842,471 71,800 53.52 0 hrs 27 mins
19 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 3,648,452 101,060 36.10 0 hrs 40 mins
20 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 3,413,561 402,545 8.48 2 hrs 50 mins
21 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 3,391,738 71,800 47.24 0 hrs 30 mins
22 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 3,325,011 398,133 8.35 2 hrs 52 mins
23 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 3,281,770 71,800 45.71 0 hrs 32 mins
24 TITAN RTX
TU102 [TITAN RTX] 16310
Nvidia TU102 3,173,159 71,800 44.19 0 hrs 33 mins
25 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 3,152,600 101,212 31.15 0 hrs 46 mins
26 Quadro P5000
GP104GL [Quadro P5000]
Nvidia GP104GL 3,018,566 71,800 42.04 0 hrs 34 mins
27 GeForce RTX 3070 Mobile / Max-Q
GA104M [GeForce RTX 3070 Mobile / Max-Q]
Nvidia GA104M 2,986,214 71,800 41.59 0 hrs 35 mins
28 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,970,222 356,989 8.32 2 hrs 53 mins
29 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,809,413 172,241 16.31 1 hrs 28 mins
30 TITAN Xp
GP102 [TITAN Xp] 12150
Nvidia GP102 2,774,353 71,800 38.64 0 hrs 37 mins
31 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,760,214 320,669 8.61 2 hrs 47 mins
32 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,712,256 71,800 37.78 0 hrs 38 mins
33 Radeon RX 9060(XT)
Navi 44 [Radeon RX 9060(XT)]
AMD Navi 44 2,680,072 196,939 13.61 1 hrs 46 mins
34 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 2,589,475 368,699 7.02 3 hrs 25 mins
35 GeForce RTX 4060 Max-Q / Mobile
AD107M [GeForce RTX 4060 Max-Q / Mobile]
Nvidia AD107M 2,538,865 160,612 15.81 1 hrs 31 mins
36 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 2,510,877 71,800 34.97 0 hrs 41 mins
37 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 2,475,680 71,800 34.48 0 hrs 42 mins
38 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 2,474,854 357,530 6.92 3 hrs 28 mins
39 Radeon RX 6700(XT)/6800M
Navi 22 XT-XL [Radeon RX 6700(XT)/6800M]
AMD Navi 22 XT-XL 2,359,049 71,800 32.86 0 hrs 44 mins
40 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 2,338,082 250,638 9.33 2 hrs 34 mins
41 TITAN X
GP102 [TITAN X] 6144
Nvidia GP102 2,209,790 352,946 6.26 3 hrs 50 mins
42 GeForce RTX 2070 Mobile
TU106BM [GeForce RTX 2070 Mobile]
Nvidia TU106BM 2,166,490 346,330 6.26 3 hrs 50 mins
43 Radeon RX 6650 XT
Navi 23 [Radeon RX 6650 XT]
AMD Navi 23 2,028,228 71,800 28.25 0 hrs 51 mins
44 RTX 2000 Ada Generation Laptop GPU
AD107GLM [RTX 2000 Ada Generation Laptop GPU]
Nvidia AD107GLM 1,889,237 344,978 5.48 4 hrs 23 mins
45 GeForce RTX 2070 Mobile / Max-Q Refresh
TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh]
Nvidia TU106M 1,869,729 316,476 5.91 4 hrs 4 mins
46 Radeon RX 6650XT
Navi 23 [Radeon RX 6650XT]
AMD Navi 23 1,849,588 323,339 5.72 4 hrs 12 mins
47 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,818,058 260,408 6.98 3 hrs 26 mins
48 Tesla V100 PCIe 16GB
GV100GL [Tesla V100 PCIe 16GB] M 14028
Nvidia GV100GL 1,735,888 71,800 24.18 0 hrs 60 mins
49 RTX A2000
GA106 [RTX A2000]
Nvidia GA106 1,626,134 71,800 22.65 1 hrs 4 mins
50 GeForce RTX 3080 Mobile / Max-Q 8GB/16GB
GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]
Nvidia GA104M 1,592,468 71,800 22.18 1 hrs 5 mins
51 Radeon RX 6600(XT/M)
Navi 23 XT-XL [Radeon RX 6600(XT/M)]
AMD Navi 23 XT-XL 1,564,996 278,311 5.62 4 hrs 16 mins
52 GeForce RTX 2060 Mobile / Max-Q
TU106M [GeForce RTX 2060 Mobile / Max-Q]
Nvidia TU106M 1,540,253 71,800 21.45 1 hrs 7 mins
53 RTX A2000 12GB
GA106 [RTX A2000 12GB]
Nvidia GA106 1,466,469 71,800 20.42 1 hrs 11 mins
54 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,449,963 297,309 4.88 4 hrs 55 mins
55 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,374,791 289,364 4.75 5 hrs 3 mins
56 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,371,577 71,800 19.10 1 hrs 15 mins
57 Quadro RTX 5000
TU104GL [Quadro RTX 5000]
Nvidia TU104GL 1,328,720 71,800 18.51 1 hrs 18 mins
58 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,311,771 79,498 16.50 1 hrs 27 mins
59 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 1,303,864 93,109 14.00 1 hrs 43 mins
60 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,262,248 295,484 4.27 5 hrs 37 mins
61 P104-100
GP104 [P104-100]
Nvidia GP104 1,227,505 71,800 17.10 1 hrs 24 mins
62 RTX A2000 Mobile
GA107GLM [RTX A2000 Mobile]
Nvidia GA107GLM 1,222,777 71,800 17.03 1 hrs 25 mins
63 RTX A1000
GA107GL [RTX A1000]
Nvidia GA107GL 1,111,561 71,800 15.48 1 hrs 33 mins
64 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 1,086,711 71,800 15.14 1 hrs 35 mins
65 Quadro P2000
GP106GL [Quadro P2000] [MED-XN71] 3935
Nvidia GP106GL 1,032,776 71,800 14.38 1 hrs 40 mins
66 GeForce GTX Titan X
GM200 [GeForce GTX Titan X] 6144
Nvidia GM200 1,032,175 71,800 14.38 1 hrs 40 mins
67 GeForce RTX 3050 Ti Mobile
GA107M [GeForce RTX 3050 Ti Mobile]
Nvidia GA107M 944,225 71,800 13.15 1 hrs 49 mins
68 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 869,815 71,800 12.11 1 hrs 59 mins
69 P106-100
GP106 [P106-100]
Nvidia GP106 864,971 209,959 4.12 5 hrs 50 mins
70 GeForce GTX 1660 Mobile
TU116M [GeForce GTX 1660 Mobile]
Nvidia TU116M 735,003 254,646 2.89 8 hrs 19 mins
71 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 729,271 236,875 3.08 7 hrs 48 mins
72 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 714,628 235,720 3.03 7 hrs 55 mins
73 Quadro T1200 Mobile
TU117GLM [Quadro T1200 Mobile]
Nvidia TU117GLM 690,912 71,800 9.62 2 hrs 30 mins
74 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 663,754 153,496 4.32 5 hrs 33 mins
75 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 652,421 217,613 3.00 8 hrs 0 mins
76 Quadro P3200 Mobile
GP104GLM [Quadro P3200 Mobile]
Nvidia GP104GLM 628,048 228,680 2.75 8 hrs 44 mins
77 RX 5600 OEM/5600XT/5700(XT)
Navi 10 [RX 5600 OEM/5600XT/5700(XT)]
AMD Navi 10 624,283 71,800 8.69 2 hrs 46 mins
78 GeForce GTX 1070 Mobile
GP104BM [GeForce GTX 1070 Mobile] 6463
Nvidia GP104BM 619,201 71,800 8.62 2 hrs 47 mins
79 RX 5500(M)/Pro 5500M
Navi 14 [RX 5500(M)/Pro 5500M]
AMD Navi 14 551,292 71,800 7.68 3 hrs 8 mins
80 Quadro P2200
GP106GL [Quadro P2200]
Nvidia GP106GL 545,935 71,800 7.60 3 hrs 9 mins
81 GeForce RTX 3080 Ti Laptop GPU
GA103M [GeForce RTX 3080 Ti Laptop GPU]
Nvidia GA103M 520,559 71,800 7.25 3 hrs 19 mins
82 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 498,493 71,800 6.94 3 hrs 27 mins
83 Radeon RX 6400 / 6500 XT
Navi 24 [Radeon RX 6400 / 6500 XT]
AMD Navi 24 438,414 71,800 6.11 3 hrs 56 mins
84 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 412,577 168,544 2.45 9 hrs 48 mins
85 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 387,108 71,800 5.39 4 hrs 27 mins
86 GeForce GTX 1650
TU106 [GeForce GTX 1650]
Nvidia TU106 350,739 71,800 4.88 4 hrs 55 mins
87 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 336,770 105,592 3.19 7 hrs 32 mins
88 GeForce GTX 960
GM206 [GeForce GTX 960] 2308
Nvidia GM206 331,148 71,800 4.61 5 hrs 12 mins
89 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 296,013 81,267 3.64 6 hrs 35 mins
90 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 295,311 97,768 3.02 7 hrs 57 mins
91 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 260,976 73,305 3.56 6 hrs 44 mins
92 Radeon 740M/760M/780M
Phoenix [Radeon 740M/760M/780M]
AMD Phoenix 195,323 71,800 2.72 8 hrs 49 mins
93 Quadro P620
GP107GL [Quadro P620]
Nvidia GP107GL 178,282 150,800 1.18 20 hrs 18 mins
94 GeForce GTX 750 Ti
GM107 [GeForce GTX 750 Ti] 1389
Nvidia GM107 172,126 71,800 2.40 10 hrs 1 mins
95 GeForce GTX 760
GK104 [GeForce GTX 760] 2258
Nvidia GK104 150,156 71,800 2.09 11 hrs 29 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:30:53
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make