RESEARCH: IL-2-RECEPTOR-DYNAMICS
FOLDING PROJECT #18281 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 24,774
Core: 0x27
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project looks at how well different computer models can simulate the behavior of a molecule called interleukin-2 (IL-2), which is important for the immune system. By comparing the model results to real-world experiments, scientists hope to better understand how IL-2 works and design new versions that could be used as medicines.

Note: This TLDR is a simplication and may not be 100% accurate.

OFFICAL PROJECT DESCRIPTION

As part of our ongoing effort to benchmark the most popular force field and water combinations, this project series focuses on human interleukin-2 (IL-2).

Our aim is to compare the results of these simulations to experimental nuclear magnetic resonance (NMR) spectroscopy data. Human interleukin-2 (IL-2) is an important signaling molecule, or cytokine, for the regulation of T-cell activity.

IL-2 can act as a promotor or inhibitor in immune cells depending on which of its receptors are bound.

There have been efforts to modify IL-2’s receptor binding sites to bias its activity towards either promoting or inhibiting immune cells.

However, the dynamics underlying IL-2 receptor recognition and binding are still not fully understood.

In addition to quantifying force field accuracy, a better understanding of these dynamics will help design IL-2 variants with more specific activity, thus improving its potential as a therapeutic.
p18278- amber03 with tip3p water 18279 - amber19sb with opc water p18280- amber99sb-disp with aadisp water p18281- charmm36m with tip3p water p18282- amber99sb-star-ILDN with tip4p water p18283- amber99sb-star-ILDN with tip4pd water.

RELATED TERMS GLOSSARY AI BETA

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

interleukin-2

Human interleukin-2 (IL-2) is a cytokine that regulates T-cell activity.

scientific: biotechnology
immunology / cytokine signaling

Interleukin-2 (IL-2) is a crucial protein in the immune system. It acts as a signal between cells to help them fight infections and diseases. IL-2 can either boost or suppress the activity of certain immune cells, depending on which receptors it binds to. Scientists are studying IL-2 to develop new treatments for various conditions, including cancer and autoimmune disorders.


nuclear magnetic resonance

NMR

scientific: biotechnology
chemistry / spectroscopy

Nuclear Magnetic Resonance (NMR) is a powerful analytical technique used to study the structure and dynamics of molecules. It works by exposing a sample to a strong magnetic field and measuring how the atomic nuclei respond. This information can reveal details about the molecule's shape, composition, and interactions with other molecules.


cytokine

A cytokine is a type of small protein that cells use to communicate with each other.

scientific: biotechnology
immunology / cell signaling

Cytokines are messenger molecules that play a vital role in the immune system. They allow different types of immune cells to communicate and coordinate their responses to infections, injuries, and other threats. Cytokines can stimulate inflammation, promote cell growth, or suppress immune activity, depending on their specific function.


T-cell

A T-cell is a type of white blood cell that plays a crucial role in the immune system.

scientific: biotechnology
immunology / lymphocytes

T-cells are specialized lymphocytes that defend the body against infections and diseases. They recognize specific antigens (foreign substances) on infected cells or pathogens and eliminate them through various mechanisms, such as releasing cytotoxic chemicals or activating other immune cells.


receptor

A receptor is a protein that binds to a specific molecule, triggering a cellular response.

scientific: biotechnology
biology / cell signaling

Receptors are specialized proteins located on the surface or inside of cells. They act as binding sites for specific molecules, such as hormones, neurotransmitters, or drugs. When a molecule binds to its receptor, it initiates a cascade of events within the cell, leading to various responses, including changes in gene expression, cell growth, or movement.


force field

A force field is a set of mathematical equations that describes the interactions between atoms in a molecule.

scientific: biotechnology
physics / molecular simulation

Force fields are essential tools for molecular simulations, which are computer-based models that simulate the behavior of molecules. They allow scientists to predict how molecules will interact with each other and their environment, providing insights into various biological processes.


simulation

A simulation is a computer-based model that replicates a real-world system.

scientific: biotechnology
physics / molecular modeling

Simulations are powerful tools used in various scientific disciplines to understand complex systems. They allow researchers to explore different scenarios, test hypotheses, and gain insights into the behavior of systems that are difficult or impossible to study experimentally.


therapeutic

A therapeutic refers to a treatment or medication intended to alleviate a disease or condition.

medical: biotechnology
pharmacology / drug development

Therapies are medical interventions designed to treat and manage diseases or health conditions. They can range from medications and surgery to physical therapy and lifestyle changes.


variant

A variant is a form of a gene or protein that differs from the original sequence.

scientific: biotechnology
genetics / protein engineering

Variants are alterations in the DNA sequence that can result in different forms of genes or proteins. They can arise through mutations or genetic recombination and may have various effects on an organism's traits or health.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:30:35
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average
1 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 3,504,418 20,300 172.63 0 hrs 8 mins
2 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 3,074,020 22,240 138.22 0 hrs 10 mins
3 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,232,220 20,300 109.96 0 hrs 13 mins
4 Tesla P100 16GB
GP100GL [Tesla P100 16GB] 9340
Nvidia GP100GL 2,166,492 20,300 106.72 0 hrs 13 mins
5 Quadro RTX 4000 Mobile / Max-Q
TU104GLM [Quadro RTX 4000 Mobile / Max-Q]
Nvidia TU104GLM 2,137,592 20,300 105.30 0 hrs 14 mins
6 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 1,917,594 124,175 15.44 1 hrs 33 mins
7 Intel Arc B580 Graphics
Battlemage G21 [Intel Arc B580 Graphics]
Intel Battlemage G21 1,905,752 20,300 93.88 0 hrs 15 mins
8 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 1,789,587 37,824 47.31 0 hrs 30 mins
9 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,788,754 76,133 23.50 1 hrs 1 mins
10 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,775,137 109,071 16.28 1 hrs 28 mins
11 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 1,684,912 20,300 83.00 0 hrs 17 mins
12 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,219,929 113,883 10.71 2 hrs 14 mins
13 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,119,371 23,013 48.64 0 hrs 30 mins
14 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,087,708 117,331 9.27 2 hrs 35 mins
15 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 952,862 20,300 46.94 0 hrs 31 mins
16 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 805,886 106,371 7.58 3 hrs 10 mins
17 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 742,877 33,258 22.34 1 hrs 4 mins
18 CMP 30HX
TU116 [CMP 30HX]
Nvidia TU116 708,315 20,300 34.89 0 hrs 41 mins
19 GeForce RTX 2060 Mobile
TU106M [GeForce RTX 2060 Mobile]
Nvidia TU106M 609,648 20,300 30.03 0 hrs 48 mins
20 GeForce GTX 1070 Mobile
GP104BM [GeForce GTX 1070 Mobile] 6463
Nvidia GP104BM 503,806 20,300 24.82 0 hrs 58 mins
21 Quadro M5000
GM204GL [Quadro M5000]
Nvidia GM204GL 356,561 20,300 17.56 1 hrs 22 mins
22 GeForce GTX 980M
GM204 [GeForce GTX 980M] 3189
Nvidia GM204 337,885 20,300 16.64 1 hrs 27 mins
23 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 303,365 20,300 14.94 1 hrs 36 mins
24 Radeon PRO W6400
Navi 24 [Radeon PRO W6400]
AMD Navi 24 296,084 20,300 14.59 1 hrs 39 mins
25 GeForce GTX 1650
TU106 [GeForce GTX 1650]
Nvidia TU106 278,574 20,300 13.72 1 hrs 45 mins
26 Quadro K5200
GK110 [Quadro K5200]
Nvidia GK110 268,550 20,300 13.23 1 hrs 49 mins
27 Radeon RX 6400/6500XT
Navi 24 [Radeon RX 6400/6500XT]
AMD Navi 24 265,729 73,353 3.62 6 hrs 38 mins
28 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 238,271 61,867 3.85 6 hrs 14 mins
29 Quadro P1000
GP107GL [Quadro P1000]
Nvidia GP107GL 210,952 68,388 3.08 7 hrs 47 mins
30 GeForce GTX 760
GK104 [GeForce GTX 760] 2258
Nvidia GK104 140,825 20,300 6.94 3 hrs 28 mins
31 Quadro T400 Mobile
TU117GLM [Quadro T400 Mobile]
Nvidia TU117GLM 136,221 20,300 6.71 3 hrs 35 mins
32 GeForce GT 1030
GP108 [GeForce GT 1030]
Nvidia GP108 79,255 35,216 2.25 10 hrs 40 mins
33 GeForce GT 710
GK208B [GeForce GT 710] 366
Nvidia GK208B 4,604 20,300 0.23 105 hrs 49 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:30:35
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make