RESEARCH: FORCE-FIELD-PROTEIN-DYNAMICS
FOLDING PROJECT #18238 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

The project uses computer simulations to study how proteins move and fold. Scientists are testing different simulation methods (called force fields) by looking at a protein called T4 Lysozyme, which helps fight bacteria. This research will help improve simulations and our understanding of 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 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 computational model used in molecular dynamics simulations to describe the interactions between atoms.

Technical: Biotechnology
Molecular Dynamics / Biophysics

Force fields are mathematical models that define how atoms interact with each other. They are essential for molecular dynamics simulations, which are used to study the movement and behavior of molecules.


Molecular Dynamics

A computational method used to simulate the movement and behavior of atoms and molecules over time.

Scientific: Pharmaceutical Research
Biophysics / Computational Chemistry

Molecular Dynamics (MD) simulations use computer algorithms to mimic the physical interactions between atoms in a system. This allows researchers to study how molecules move, interact, and change shape over time.


Newton's laws of motion

A set of three fundamental laws that describe the relationship between a body and the forces acting upon it, and its motion in response to those forces.

Scientific: Academia
Physics / Classical Mechanics

Newton's Laws of Motion are foundational principles in physics. They explain how objects move and interact with forces. The first law describes inertia, the second law relates force, mass, and acceleration, and the third law states that for every action, there is an equal and opposite reaction.


Femtoseconds

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

Technical: Nanotechnology
Physics / Time Measurement

Femtoseconds are incredibly short units of time, used to measure extremely fast events at the atomic and subatomic level. One femtosecond is one quadrillionth of a second.


Protein

A large biomolecule made up of chains of amino acids.

Scientific: Pharmaceutical Research
Biochemistry / Molecular Biology

Proteins are essential macromolecules found in all living organisms. They perform a wide range of functions, including catalyzing biochemical reactions, transporting molecules, providing structural support, and regulating cellular processes.


Lysozyme

An enzyme that breaks down bacterial cell walls.

Scientific: Medicine
Biochemistry / Immunology

Lysozyme is an antimicrobial enzyme found in tears, saliva, and mucus. It acts by breaking down the peptidoglycan layer of bacterial cell walls, leading to bacterial lysis (cell death).


Conformations

The different three-dimensional shapes that a protein can adopt.

Scientific: Drug Discovery
Biochemistry / Protein Structure

Proteins are not rigid structures but can fold into various shapes called conformations. These different conformations allow proteins to perform their diverse functions.


Folding@home

A distributed computing project that uses volunteer computer resources to perform protein folding simulations.

Technical: Academia
Bioinformatics / Distributed Computing

Folding@home is a massive scientific effort that harnesses the power of many computers to simulate the complex process of protein folding. Volunteers donate their computer's processing power to help researchers understand how proteins fold and function.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:31:02
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 17,437,581 824,634 21.15 1 hrs 8 mins
2 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 17,177,432 254,081 67.61 0 hrs 21 mins
3 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 15,298,763 1,265,110 12.09 1 hrs 59 mins
4 GeForce RTX 3090 Ti
GA102 [GeForce RTX 3090 Ti]
Nvidia GA102 12,336,629 971,034 12.70 1 hrs 53 mins
5 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 12,166,994 686,683 17.72 1 hrs 21 mins
6 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 10,937,296 505,778 21.62 1 hrs 7 mins
7 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 10,761,875 1,012,364 10.63 2 hrs 15 mins
8 GeForce RTX 4070
AD104 [GeForce RTX 4070]
Nvidia AD104 8,932,037 1,062,863 8.40 2 hrs 51 mins
9 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 8,495,341 596,002 14.25 1 hrs 41 mins
10 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 8,348,929 439,257 19.01 1 hrs 16 mins
11 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 8,124,860 901,264 9.01 2 hrs 40 mins
12 RTX 5000 Ada Generation Laptop GPU
AD103GLM [RTX 5000 Ada Generation Laptop GPU]
Nvidia AD103GLM 7,877,002 1,018,477 7.73 3 hrs 6 mins
13 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 7,703,840 605,665 12.72 1 hrs 53 mins
14 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 6,720,483 291,347 23.07 1 hrs 2 mins
15 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 6,242,764 197,133 31.67 0 hrs 45 mins
16 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 6,168,123 486,526 12.68 1 hrs 54 mins
17 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 5,899,541 190,000 31.05 0 hrs 46 mins
18 GeForce RTX 3080 12GB
GA102 [GeForce RTX 3080 12GB]
Nvidia GA102 5,859,045 809,924 7.23 3 hrs 19 mins
19 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 5,663,609 758,371 7.47 3 hrs 13 mins
20 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 4,381,153 250,636 17.48 1 hrs 22 mins
21 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 4,331,278 542,114 7.99 3 hrs 0 mins
22 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 4,184,598 301,242 13.89 1 hrs 44 mins
23 RTX A4000
GA104GL [RTX A4000]
Nvidia GA104GL 4,103,200 190,000 21.60 1 hrs 7 mins
24 Geforce RTX 3070 Ti Laptop GPU
GA104 [Geforce RTX 3070 Ti Laptop GPU]
Nvidia GA104 3,772,571 190,000 19.86 1 hrs 13 mins
25 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 3,743,695 464,474 8.06 2 hrs 59 mins
26 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 Super]
Nvidia TU104 3,730,601 190,000 19.63 1 hrs 13 mins
27 Radeon RX 9070(XT)
Navi 48 [Radeon RX 9070(XT)]
AMD Navi 48 3,634,969 314,316 11.56 2 hrs 5 mins
28 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 3,587,166 230,867 15.54 1 hrs 33 mins
29 Radeon RX 6800(XT)/6900XT
Navi 21 [Radeon RX 6800(XT)/6900XT]
AMD Navi 21 3,443,180 410,713 8.38 2 hrs 52 mins
30 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 3,279,391 269,933 12.15 1 hrs 59 mins
31 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 3,128,835 190,000 16.47 1 hrs 27 mins
32 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 3,048,407 190,000 16.04 1 hrs 30 mins
33 GeForce RTX 3080 Mobile / Max-Q 8GB/16GB
GA104M [GeForce RTX 3080 Mobile / Max-Q 8GB/16GB]
Nvidia GA104M 2,902,268 754,852 3.84 6 hrs 15 mins
34 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 2,850,037 686,440 4.15 5 hrs 47 mins
35 GeForce RTX 4050 Max-Q / Mobile
AD107M [GeForce RTX 4050 Max-Q / Mobile]
Nvidia AD107M 2,808,819 723,786 3.88 6 hrs 11 mins
36 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,753,018 259,155 10.62 2 hrs 16 mins
37 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 2,712,370 596,889 4.54 5 hrs 17 mins
38 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 2,704,670 190,000 14.24 1 hrs 41 mins
39 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 2,699,467 190,000 14.21 1 hrs 41 mins
40 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 2,687,793 472,601 5.69 4 hrs 13 mins
41 GeForce RTX 4060 Max-Q / Mobile
AD107M [GeForce RTX 4060 Max-Q / Mobile]
Nvidia AD107M 2,337,433 678,671 3.44 6 hrs 58 mins
42 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,228,484 547,651 4.07 5 hrs 54 mins
43 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,132,921 529,475 4.03 5 hrs 57 mins
44 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 2,078,108 190,000 10.94 2 hrs 12 mins
45 GeForce RTX 3070 Mobile / Max-Q
GA104M [GeForce RTX 3070 Mobile / Max-Q]
Nvidia GA104M 2,011,124 462,050 4.35 5 hrs 31 mins
46 GeForce RTX 2070 Mobile / Max-Q Refresh
TU106M [GeForce RTX 2070 Mobile / Max-Q Refresh]
Nvidia TU106M 1,991,689 640,352 3.11 7 hrs 43 mins
47 GeForce RTX 2070 Mobile
TU106BM [GeForce RTX 2070 Mobile]
Nvidia TU106BM 1,926,082 642,169 3.00 8 hrs 0 mins
48 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,870,235 266,143 7.03 3 hrs 25 mins
49 Geforce RTX 3050
GA106 [Geforce RTX 3050]
Nvidia GA106 1,758,407 190,000 9.25 2 hrs 36 mins
50 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,724,312 526,664 3.27 7 hrs 20 mins
51 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,562,594 424,783 3.68 6 hrs 31 mins
52 RTX A2000
GA106 [RTX A2000]
Nvidia GA106 1,541,049 190,000 8.11 2 hrs 58 mins
53 RTX A2000 12GB
GA106 [RTX A2000 12GB]
Nvidia GA106 1,483,447 190,000 7.81 3 hrs 4 mins
54 Radeon RX 6700(XT)/6800M
Navi 22 XT-XL [Radeon RX 6700(XT)/6800M]
AMD Navi 22 XT-XL 1,369,099 209,164 6.55 3 hrs 40 mins
55 GeForce RTX 3050 8GB
GA107 [GeForce RTX 3050 8GB]
Nvidia GA107 1,340,518 618,130 2.17 11 hrs 4 mins
56 P104-100
GP104 [P104-100]
Nvidia GP104 1,320,425 190,000 6.95 3 hrs 27 mins
57 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,318,018 190,000 6.94 3 hrs 28 mins
58 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,282,812 495,868 2.59 9 hrs 17 mins
59 GeForce RTX 3050 Ti Mobile
GA107M [GeForce RTX 3050 Ti Mobile]
Nvidia GA107M 1,254,957 558,755 2.25 10 hrs 41 mins
60 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,223,567 190,000 6.44 3 hrs 44 mins
61 Radeon RX 7700S/7600S
Navi 33 [Radeon RX 7700S/7600S]
AMD Navi 33 1,201,016 190,000 6.32 3 hrs 48 mins
62 Radeon RX 6650XT
Navi 23 [Radeon RX 6650XT]
AMD Navi 23 1,175,742 536,759 2.19 10 hrs 57 mins
63 GeForce RTX 3050 6GB
GA107 [GeForce RTX 3050 6GB]
Nvidia GA107 1,156,964 190,000 6.09 3 hrs 56 mins
64 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,135,370 285,742 3.97 6 hrs 2 mins
65 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,126,645 528,768 2.13 11 hrs 16 mins
66 GeForce RTX 2060 Mobile
TU106M [GeForce RTX 2060 Mobile]
Nvidia TU106M 1,117,883 464,007 2.41 9 hrs 58 mins
67 Radeon RX 6600/6600 XT/6600M
Navi 23 XT-XL [Radeon RX 6600/6600 XT/6600M]
AMD Navi 23 XT-XL 1,101,347 276,732 3.98 6 hrs 2 mins
68 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 1,053,499 458,012 2.30 10 hrs 26 mins
69 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,043,639 493,240 2.12 11 hrs 21 mins
70 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 1,018,337 366,790 2.78 8 hrs 39 mins
71 RTX A1000
GA107GL [RTX A1000]
Nvidia GA107GL 961,489 190,000 5.06 4 hrs 45 mins
72 Radeon RX 6600(XT/M)
Navi 23 XT-XL [Radeon RX 6600(XT/M)]
AMD Navi 23 XT-XL 931,342 444,896 2.09 11 hrs 28 mins
73 GeForce GTX Titan X
GM200 [GeForce GTX Titan X] 6144
Nvidia GM200 875,312 190,000 4.61 5 hrs 13 mins
74 P106-100
GP106 [P106-100]
Nvidia GP106 845,582 485,697 1.74 13 hrs 47 mins
75 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 810,172 190,000 4.26 5 hrs 38 mins
76 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 779,918 462,836 1.69 14 hrs 15 mins
77 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 729,280 190,000 3.84 6 hrs 15 mins
78 GeForce RTX 3050 Mobile
GA107M [GeForce RTX 3050 Mobile]
Nvidia GA107M 726,641 190,000 3.82 6 hrs 17 mins
79 GeForce GTX 970
GM204 [GeForce GTX 970] 3494
Nvidia GM204 660,998 190,000 3.48 6 hrs 54 mins
80 GeForce GTX 1650 Mobile / Max-Q
TU117M [GeForce GTX 1650 Mobile / Max-Q]
Nvidia TU117M 557,440 190,000 2.93 8 hrs 11 mins
81 GeForce GTX 1660 Mobile
TU116M [GeForce GTX 1660 Mobile]
Nvidia TU116M 522,763 460,198 1.14 21 hrs 8 mins
82 GeForce GTX 1650
TU116 [GeForce GTX 1650] 3091
Nvidia TU116 505,902 190,000 2.66 9 hrs 1 mins
83 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 496,495 190,000 2.61 9 hrs 11 mins
84 GeForce GTX 1650
TU106 [GeForce GTX 1650]
Nvidia TU106 442,066 190,000 2.33 10 hrs 19 mins
85 Radeon RX 7700S/7600(S)
Navi 33 [Radeon RX 7700S/7600(S)]
AMD Navi 33 379,361 304,718 1.24 19 hrs 17 mins
86 RX 5600 OEM/5600XT/5700/5700XT
Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]
AMD Navi 10 365,500 190,000 1.92 12 hrs 29 mins
87 Radeon Pro W5700
Navi 10 [Radeon Pro W5700]
AMD Navi 10 260,713 382,768 0.68 35 hrs 14 mins
88 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 239,658 190,000 1.26 19 hrs 2 mins
89 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 211,865 190,000 1.12 21 hrs 31 mins
90 RX 5500(M)/Pro 5500M
Navi 14 [RX 5500(M)/Pro 5500M]
AMD Navi 14 188,248 221,387 0.85 28 hrs 13 mins
91 GeForce RTX 2050
GA107M [GeForce RTX 2050]
Nvidia GA107M 177,720 190,000 0.94 25 hrs 40 mins
92 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 88,035 190,000 0.46 51 hrs 48 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:31:02
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN 7 5700X 8-CORE 16 AMD
2 12TH GEN CORE I5-12400F 12 Intel
3 XEON CPU E5-1620 V3 @ 3.50GHZ 8 Intel
4 XEON CPU E5-2666 V3 @ 2.90GHZ 20 Intel
5 RYZEN 7 7800X3D 8-CORE 16 AMD