RESEARCH: FORCE-FIELD-PROTEIN-SIMULATION
FOLDING PROJECT #18242 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 155,541
Core: 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

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

Force fields

Mathematical models describing interactions between atoms in molecular simulations.

Technical: Biotechnology
Molecular Dynamics / Biophysics

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.

Scientific: Biotechnology
Computational Biology / Biophysics

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.

Scientific: Academia
Physics / Classical Mechanics

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.

Scientific: Academia
Chemistry / Atomic Structure

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.

Scientific: Biotechnology
Biology / Biochemistry

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.

Scientific: Biotechnology
Biology / Immunology

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
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
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
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
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