RESEARCH: COVID-19
FOLDING PROJECT #17343 PROFILE

PROJECT TEAM

Manager(s): Ivy Zhang
Institution: Memorial Sloan Kettering Cancer Center
Project URL: View Project Website

WORK UNIT INFO

Atoms: 257,392
Core: OPENMM_22
Status: Public

TLDR; PROJECT SUMMARY AI BETA

The project relates to studying how the SARS-CoV-2 virus attaches to human cells. Scientists are simulating the virus's binding part (RBD) and its target (ACE2) using computer models, with and without sugar molecules (glycosylation). This will help understand how glycosylation affects the virus's shape and how it binds to ACE2. The findings could aid in developing new drugs.

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

OFFICAL PROJECT DESCRIPTION

These projects involve the SARS-CoV-2 receptor binding domain (RBD) and its target receptor in humans, ACE2.

We are simulating these proteins alone and in complex with each other (and with and without glycosylation).

We will build Markov State Models using the Fah simulation data, which will help us identify the metastable states of each protein/protein complex.

Given these experiments, we hope to be able to explain the impact of glycosylation on RBD conformational dynamics as well as identify whether there are shifts in metastable states upon RBD:ACE2 binding.

Ultimately, the knowledge gained here will help infom drug design efforts. Note: 17313-6 replace 17307-9, as 17307-9 used a different, less stable integrator. 17329-331 replace 17316-8 (change from rectangular to truncated octahedron box) 17332-5 replace 17325-8 (change from rectangular to truncated octahedron box) 17336-40 replace 17330, 32-35 (fix glycan stereoisomer) 17341-3 are repeats of 17336, 17337, and 17339 (RUN8), where each project has 5 RUNs starting from different equilibrated structures.

RELATED TERMS GLOSSARY AI BETA

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

SARS-CoV-2

Severe acute respiratory syndrome coronavirus 2

Scientific: Biotechnology, Pharmaceuticals
Virology / Infectious Diseases

SARS-CoV-2 is a virus that causes COVID-19. It's a type of coronavirus, which are known for causing respiratory illnesses. Scientists study SARS-CoV-2 to understand how it spreads and to develop treatments and vaccines.


receptor binding domain (RBD)

Receptor Binding Domain

Scientific: Biotechnology, Pharmaceuticals
Virology / Protein Structure

The RBD is a part of the SARS-CoV-2 virus's spike protein. This region binds to receptors on human cells, allowing the virus to enter and infect them.


ACE2

Angiotensin-converting enzyme 2

Scientific: Biotechnology, Pharmaceuticals
Physiology / Cellular Biology

ACE2 is a protein found on the surface of human cells. The SARS-CoV-2 virus's RBD binds to ACE2, allowing it to enter and infect cells.


glycosylation

The process of adding sugar molecules to proteins

Scientific: Biotechnology, Pharmaceuticals
Biochemistry / Protein Modification

Glycosylation is a common way to modify proteins. It can change how a protein functions and interacts with other molecules. Scientists study glycosylation in viruses like SARS-CoV-2 to understand how it affects their ability to infect cells.


Markov State Models

Mathematical models used to simulate the behavior of molecules over time

Scientific: Biotechnology, Pharmaceuticals
Computational Biology / Molecular Dynamics

Markov State Models are a tool used by scientists to study how molecules move and interact. They can be used to understand things like protein folding, drug binding, and viral infection.


metastable states

Temporary, stable configurations of molecules that are not the lowest energy state

Scientific: Biotechnology, Pharmaceuticals
Computational Biology / Molecular Dynamics

Metastable states are like temporary resting points for molecules. They're not completely stable, but they last long enough to be important in biological processes. Scientists use Markov State Models to identify these metastable states and understand how molecules move between them.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 00:39:33
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 6,193,233 251,265 24.65 0 hrs 58 mins
2 GeForce RTX 3080 10GB / 20GB
GA102 [GeForce RTX 3080 10GB / 20GB]
Nvidia GA102 5,211,207 239,730 21.74 1 hrs 6 mins
3 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 4,231,640 223,907 18.90 1 hrs 16 mins
4 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 3,991,924 217,058 18.39 1 hrs 18 mins
5 Radeon RX 6800/6800 XT / 6900 XT
Navi 21 [Radeon RX 6800/6800 XT / 6900 XT]
AMD Navi 21 3,642,296 208,966 17.43 1 hrs 23 mins
6 Quadro RTX 6000/8000
TU102GL [Quadro RTX 6000/8000]
Nvidia TU102GL 3,361,234 197,894 16.99 1 hrs 25 mins
7 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 2,851,098 196,209 14.53 1 hrs 39 mins
8 GeForce RTX 3070 Mobile / Max-Q
GA104M [GeForce RTX 3070 Mobile / Max-Q]
Nvidia GA104M 2,809,688 196,571 14.29 1 hrs 41 mins
9 GeForce RTX 3060 Ti
GA104 [GeForce RTX 3060 Ti]
Nvidia GA104 2,593,983 188,175 13.78 1 hrs 44 mins
10 GeForce RTX 2080 Super
TU104 [GeForce RTX 2080 SUPER]
Nvidia TU104 2,578,978 189,596 13.60 1 hrs 46 mins
11 GeForce RTX 2080
TU104 [GeForce RTX 2080]
Nvidia TU104 2,551,489 189,238 13.48 1 hrs 47 mins
12 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 2,543,416 188,835 13.47 1 hrs 47 mins
13 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 2,511,567 187,033 13.43 1 hrs 47 mins
14 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A] M 7465
Nvidia TU106 2,292,094 181,582 12.62 1 hrs 54 mins
15 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 2,114,415 177,740 11.90 2 hrs 1 mins
16 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,022,787 172,759 11.71 2 hrs 3 mins
17 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 1,726,361 166,123 10.39 2 hrs 19 mins
18 GeForce RTX 2070
TU106 [GeForce RTX 2070] M 6497
Nvidia TU106 1,706,384 162,305 10.51 2 hrs 17 mins
19 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 1,607,882 162,326 9.91 2 hrs 25 mins
20 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,544,876 158,572 9.74 2 hrs 28 mins
21 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 1,530,211 159,662 9.58 2 hrs 30 mins
22 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 1,313,057 149,172 8.80 2 hrs 44 mins
23 GeForce RTX 2060 Mobile
TU106M [GeForce RTX 2060 Mobile] 4608
Nvidia TU106M 1,183,709 146,820 8.06 2 hrs 59 mins
24 GeForce GTX 1070 Ti
GP104 [GeForce GTX 1070 Ti] 8186
Nvidia GP104 1,166,061 141,934 8.22 2 hrs 55 mins
25 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 1,158,209 144,676 8.01 2 hrs 60 mins
26 Radeon RX 5600 OEM/5600 XT/5700/5700 XT
Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT]
AMD Navi 10 1,151,036 144,161 7.98 3 hrs 0 mins
27 GeForce RTX 2060 Mobile / Max-Q
TU106M [GeForce RTX 2060 Mobile / Max-Q] 4550
Nvidia TU106M 1,128,005 144,902 7.78 3 hrs 5 mins
28 GeForce RTX 2060 Mobile
TU106M [GeForce RTX 2060 Mobile]
Nvidia TU106M 1,069,002 131,347 8.14 2 hrs 57 mins
29 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,059,097 140,361 7.55 3 hrs 11 mins
30 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 879,532 133,120 6.61 3 hrs 38 mins
31 P104-100
GP104 [P104-100]
Nvidia GP104 873,908 132,743 6.58 3 hrs 39 mins
32 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 868,234 132,027 6.58 3 hrs 39 mins
33 GeForce GTX 1060 6GB
GP106 [GeForce GTX 1060 6GB] 4372
Nvidia GP106 722,279 124,382 5.81 4 hrs 8 mins
34 GeForce GTX 1060 3GB
GP106 [GeForce GTX 1060 3GB] 3935
Nvidia GP106 604,205 115,356 5.24 4 hrs 35 mins
35 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 584,458 116,446 5.02 4 hrs 47 mins
36 P106-100
GP106 [P106-100]
Nvidia GP106 556,454 114,100 4.88 4 hrs 55 mins
37 Quadro T2000 Mobile / Max-Q
TU117GLM [Quadro T2000 Mobile / Max-Q]
Nvidia TU117GLM 445,596 106,276 4.19 5 hrs 43 mins
38 GeForce GTX 1650
TU116 [GeForce GTX 1650] 2984
Nvidia TU116 418,195 103,725 4.03 5 hrs 57 mins
39 GeForce GTX 1650 Mobile / Max-Q
TU117M [GeForce GTX 1650 Mobile / Max-Q]
Nvidia TU117M 390,442 101,445 3.85 6 hrs 14 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 00:39:33
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make