RESEARCH: COVID-19
FOLDING PROJECT #17342 PROFILE
PROJECT TEAM
Manager(s): Ivy ZhangInstitution: Memorial Sloan Kettering Cancer Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 257,388Core: 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. Researchers are using computer simulations to understand how the virus's protein changes shape when it binds to our cells. This knowledge can help scientists design new drugs to fight COVID-19.
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 the virus that causes COVID-19. It's a type of coronavirus, which are common viruses that can cause illnesses ranging from the common cold to more severe diseases like SARS.
receptor binding domain (RBD)
Receptor Binding Domain
The receptor binding domain (RBD) is a part of the SARS-CoV-2 spike protein that attaches to the ACE2 receptor on human cells, allowing the virus to enter and infect.
ACE2
Angiotensin-Converting Enzyme 2
ACE2 is a protein found on the surface of many human cells. The SARS-CoV-2 virus uses ACE2 as its entry point to infect cells.
glycosylation
The addition of sugar molecules to proteins.
Glycosylation is a common process where sugar molecules are attached to proteins. This can change the protein's shape, function, and how it interacts with other molecules.
Markov State Models
Mathematical models used to describe the behavior of complex systems over time.
Markov State Models are a type of computer simulation used to study how molecules move and change shape. They can help researchers understand how proteins interact with each other and their environment.
metastable states
Temporary, stable configurations of a system.
Metastable states are like temporary resting points for molecules. They are not the most stable state, but they can exist for a while before changing to a more stable form.
drug design
The process of designing and developing new drugs.
Drug design involves using knowledge about diseases and how molecules interact to create new medications that can treat or prevent illnesses.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:39:35|
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 | 6,023,898 | 245,485 | 24.54 | 0 hrs 59 mins |
| 2 | GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB] |
Nvidia | GA102 | 5,184,073 | 236,392 | 21.93 | 1 hrs 6 mins |
| 3 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,213,588 | 221,257 | 19.04 | 1 hrs 16 mins |
| 4 | Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000] |
Nvidia | TU102GL | 4,213,297 | 221,424 | 19.03 | 1 hrs 16 mins |
| 5 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 3,675,916 | 199,142 | 18.46 | 1 hrs 18 mins |
| 6 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 3,575,282 | 206,219 | 17.34 | 1 hrs 23 mins |
| 7 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,869,388 | 193,759 | 14.81 | 1 hrs 37 mins |
| 8 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,625,533 | 189,107 | 13.88 | 1 hrs 44 mins |
| 9 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,564,701 | 186,899 | 13.72 | 1 hrs 45 mins |
| 10 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,526,787 | 186,800 | 13.53 | 1 hrs 46 mins |
| 11 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,522,402 | 186,545 | 13.52 | 1 hrs 46 mins |
| 12 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,445,867 | 182,464 | 13.40 | 1 hrs 47 mins |
| 13 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,280,543 | 180,604 | 12.63 | 1 hrs 54 mins |
| 14 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,143,317 | 176,486 | 12.14 | 1 hrs 59 mins |
| 15 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,034,129 | 172,605 | 11.78 | 2 hrs 2 mins |
| 16 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,664,494 | 161,010 | 10.34 | 2 hrs 19 mins |
| 17 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,520,161 | 154,139 | 9.86 | 2 hrs 26 mins |
| 18 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,489,250 | 153,366 | 9.71 | 2 hrs 28 mins |
| 19 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 1,421,095 | 151,232 | 9.40 | 2 hrs 33 mins |
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|
|||||||
| 20 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,391,029 | 139,185 | 9.99 | 2 hrs 24 mins |
| 21 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,317,408 | 147,429 | 8.94 | 2 hrs 41 mins |
| 22 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,221,545 | 146,707 | 8.33 | 2 hrs 53 mins |
| 23 | Radeon RX 5600 OEM/5600 XT/5700/5700 XT Navi 10 [Radeon RX 5600 OEM/5600 XT/5700/5700 XT] |
AMD | Navi 10 | 1,166,435 | 142,960 | 8.16 | 2 hrs 56 mins |
| 24 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,156,686 | 144,062 | 8.03 | 2 hrs 59 mins |
| 25 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,155,870 | 141,521 | 8.17 | 2 hrs 56 mins |
| 26 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] 4608 |
Nvidia | TU106M | 1,077,281 | 140,855 | 7.65 | 3 hrs 8 mins |
| 27 | GeForce RTX 2060 Mobile / Max-Q TU106M [GeForce RTX 2060 Mobile / Max-Q] 4550 |
Nvidia | TU106M | 1,067,587 | 140,123 | 7.62 | 3 hrs 9 mins |
| 28 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,030,947 | 138,538 | 7.44 | 3 hrs 14 mins |
| 29 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 887,621 | 132,070 | 6.72 | 3 hrs 34 mins |
| 30 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 872,486 | 131,373 | 6.64 | 3 hrs 37 mins |
| 31 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 863,178 | 131,138 | 6.58 | 3 hrs 39 mins |
| 32 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 732,776 | 123,633 | 5.93 | 4 hrs 3 mins |
| 33 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 679,001 | 112,643 | 6.03 | 3 hrs 59 mins |
| 34 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 670,457 | 120,185 | 5.58 | 4 hrs 18 mins |
| 35 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 560,785 | 113,304 | 4.95 | 4 hrs 51 mins |
| 36 | GeForce GTX 1650 TU117 [GeForce GTX 1650] 3091 |
Nvidia | TU117 | 518,547 | 109,693 | 4.73 | 5 hrs 5 mins |
| 37 | Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q] |
Nvidia | TU117GLM | 432,867 | 104,264 | 4.15 | 5 hrs 47 mins |
| 38 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984 |
Nvidia | TU116 | 413,532 | 102,205 | 4.05 | 5 hrs 56 mins |
| 39 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 363,131 | 90,787 | 4.00 | 6 hrs 0 mins |
|
|
|||||||
| 40 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 266,888 | 84,758 | 3.15 | 7 hrs 37 mins |
| 41 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 246,644 | 34,168 | 7.22 | 3 hrs 19 mins |
| 42 | Quadro P1000 GP107GL [Quadro P1000] |
Nvidia | GP107GL | 236,967 | 84,954 | 2.79 | 8 hrs 36 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:39:35|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|