RESEARCH: COVID-19
FOLDING PROJECT #17343 PROFILE
PROJECT TEAM
Manager(s): Ivy ZhangInstitution: Memorial Sloan Kettering Cancer Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 257,392Core: OPENMM_22
Status: Public
Related Projects
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
SARS-CoV-2
Severe acute respiratory syndrome coronavirus 2
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
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
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
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
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
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 |
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|
|||||||
| 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 |
|---|