RESEARCH: FORCE-FIELD-PROTEIN-DYNAMICS
FOLDING PROJECT #18235 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 117,186
Core: 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

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 simulation.

Technical: Biotechnology
Molecular Dynamics / Simulations

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.

Scientific: Biotechnology, Pharmacology
Computational Biology / Simulations

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.

Scientific: General Science
Physics / Classical Mechanics

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.

Technical: General Science, Biotechnology
Physics / Time Measurement

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.

Scientific: Biotechnology, Pharmacology
Biology / Biomolecules

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.

Scientific: Biotechnology, Pharmacology
Biology / Enzymes

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.

Technical: Biotechnology
Distributed Computing / Biomedical Research

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
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