RESEARCH: COVID-19
FOLDING PROJECT #17340 PROFILE
PROJECT TEAM
Manager(s): Ivy ZhangInstitution: Memorial Sloan Kettering Cancer Center
Project URL: View Project Website
WORK UNIT INFO
Atoms: 257,383Core: OPENMM_22
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
This project uses computer simulations to study how the SARS-CoV-2 spike protein binds to human cells. By looking at different versions of the proteins with and without sugars, researchers hope to understand how these sugars affect the binding process and potentially identify new drug targets.
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).
RELATED TERMS GLOSSARY AI BETA
SARS-CoV-2
Severe acute respiratory syndrome coronavirus 2
SARS-CoV-2 is the virus responsible for causing COVID-19. It's a type of coronavirus that spreads easily between people through respiratory droplets. Symptoms can range from mild to severe, including fever, cough, shortness of breath, and fatigue.
RBD
Receptor Binding Domain
The receptor binding domain (RBD) is a part of the spike protein on SARS-CoV-2. It's responsible for attaching to the ACE2 receptor 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 many human cells. The SARS-CoV-2 virus uses its RBD to bind to ACE2, allowing it to enter and infect cells.
Glycosylation
The process of adding sugar molecules to proteins.
Glycosylation is a common modification of proteins that can affect their function. In the context of SARS-CoV-2, glycosylation of the RBD can influence its binding to the ACE2 receptor.
Markov State Models
Mathematical models used to simulate the dynamic behavior of complex systems.
Markov state models are used to study the different states that a protein can exist in and how it transitions between them. This can help us understand how proteins function and how they are affected by changes in their environment.
Metastable States
States that a system can remain in for a relatively long time but are not truly stable.
Metastable states are important because they represent intermediate stages in the process of protein folding and other biological reactions. Understanding these states can help us design more effective drugs and therapies.
Drug Design
The process of discovering and developing new medications.
Drug design is a complex process that involves identifying potential drug targets, designing molecules that can bind to these targets, and testing the efficacy and safety of the resulting drugs.
PROJECT FOLDING PPD AVERAGES BY GPU
Data as of Sunday, 26 April 2026 00:39:38|
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 | 6,392,077 | 253,942 | 25.17 | 0 hrs 57 mins |
| 2 | GeForce RTX 3080 10GB / 20GB GA102 [GeForce RTX 3080 10GB / 20GB] |
Nvidia | GA102 | 5,330,569 | 241,747 | 22.05 | 1 hrs 5 mins |
| 3 | Radeon RX 6800/6800 XT / 6900 XT Navi 21 [Radeon RX 6800/6800 XT / 6900 XT] |
AMD | Navi 21 | 4,475,235 | 227,854 | 19.64 | 1 hrs 13 mins |
| 4 | GeForce RTX 2080 Ti Rev. A TU102 [GeForce RTX 2080 Ti Rev. A] M 13448 |
Nvidia | TU102 | 4,454,640 | 228,775 | 19.47 | 1 hrs 14 mins |
| 5 | GeForce RTX 2080 Ti TU102 [GeForce RTX 2080 Ti] M 13448 |
Nvidia | TU102 | 4,098,282 | 220,842 | 18.56 | 1 hrs 18 mins |
| 6 | Quadro RTX 6000/8000 TU102GL [Quadro RTX 6000/8000] |
Nvidia | TU102GL | 3,874,116 | 218,103 | 17.76 | 1 hrs 21 mins |
| 7 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 2,900,923 | 196,616 | 14.75 | 1 hrs 38 mins |
| 8 | GeForce RTX 3060 Ti GA104 [GeForce RTX 3060 Ti] |
Nvidia | GA104 | 2,889,316 | 196,834 | 14.68 | 1 hrs 38 mins |
| 9 | GeForce RTX 2080 TU104 [GeForce RTX 2080] |
Nvidia | TU104 | 2,765,288 | 195,247 | 14.16 | 1 hrs 42 mins |
| 10 | GeForce RTX 2080 Super TU104 [GeForce RTX 2080 SUPER] |
Nvidia | TU104 | 2,655,693 | 191,656 | 13.86 | 1 hrs 44 mins |
| 11 | GeForce RTX 2080 Rev. A TU104 [GeForce RTX 2080 Rev. A] 10068 |
Nvidia | TU104 | 2,618,876 | 190,778 | 13.73 | 1 hrs 45 mins |
| 12 | GeForce RTX 2070 SUPER TU104 [GeForce RTX 2070 SUPER] 8218 |
Nvidia | TU104 | 2,505,233 | 187,860 | 13.34 | 1 hrs 48 mins |
| 13 | GeForce RTX 2070 Rev. A TU106 [GeForce RTX 2070 Rev. A] M 7465 |
Nvidia | TU106 | 2,412,427 | 186,421 | 12.94 | 1 hrs 51 mins |
| 14 | GeForce GTX 1080 Ti GP102 [GeForce GTX 1080 Ti] 11380 |
Nvidia | GP102 | 2,115,342 | 177,933 | 11.89 | 2 hrs 1 mins |
| 15 | GeForce RTX 2060 Super TU106 [GeForce RTX 2060 SUPER] |
Nvidia | TU106 | 2,065,652 | 175,637 | 11.76 | 2 hrs 2 mins |
| 16 | GeForce RTX 2080 SUPER Mobile / Max-Q TU104M [GeForce RTX 2080 SUPER Mobile / Max-Q] |
Nvidia | TU104M | 1,981,503 | 173,269 | 11.44 | 2 hrs 6 mins |
| 17 | GeForce RTX 3060 GA106 [GeForce RTX 3060] |
Nvidia | GA106 | 1,722,923 | 166,142 | 10.37 | 2 hrs 19 mins |
| 18 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 1,688,128 | 165,780 | 10.18 | 2 hrs 21 mins |
| 19 | GeForce RTX 2070 TU106 [GeForce RTX 2070] M 6497 |
Nvidia | TU106 | 1,660,350 | 160,470 | 10.35 | 2 hrs 19 mins |
|
|
|||||||
| 20 | GeForce RTX 2060 TU106 [Geforce RTX 2060] |
Nvidia | TU106 | 1,551,206 | 158,457 | 9.79 | 2 hrs 27 mins |
| 21 | Quadro RTX 4000 TU104GL [Quadro RTX 4000] |
Nvidia | TU104GL | 1,389,796 | 154,923 | 8.97 | 2 hrs 41 mins |
| 22 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] 4608 |
Nvidia | TU106M | 1,379,275 | 155,065 | 8.89 | 2 hrs 42 mins |
| 23 | GeForce GTX 1080 GP104 [GeForce GTX 1080] 8873 |
Nvidia | GP104 | 1,293,198 | 150,993 | 8.56 | 2 hrs 48 mins |
| 24 | GeForce GTX 1070 Ti GP104 [GeForce GTX 1070 Ti] 8186 |
Nvidia | GP104 | 1,279,829 | 151,386 | 8.45 | 2 hrs 50 mins |
| 25 | GeForce GTX 1070 GP104 [GeForce GTX 1070] 6463 |
Nvidia | GP104 | 1,171,564 | 146,517 | 8.00 | 3 hrs 0 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 | 1,133,796 | 144,267 | 7.86 | 3 hrs 3 mins |
| 27 | GeForce GTX 980 Ti GM200 [GeForce GTX 980 Ti] 5632 |
Nvidia | GM200 | 1,123,403 | 142,193 | 7.90 | 3 hrs 2 mins |
| 28 | GeForce RTX 2060 Mobile TU106M [GeForce RTX 2060 Mobile] |
Nvidia | TU106M | 1,111,925 | 139,404 | 7.98 | 3 hrs 1 mins |
| 29 | GeForce RTX 2060 Mobile / Max-Q TU106M [GeForce RTX 2060 Mobile / Max-Q] 4550 |
Nvidia | TU106M | 1,096,734 | 143,886 | 7.62 | 3 hrs 9 mins |
| 30 | GeForce GTX 1660 SUPER TU116 [GeForce GTX 1660 SUPER] |
Nvidia | TU116 | 1,052,144 | 141,343 | 7.44 | 3 hrs 13 mins |
| 31 | GeForce GTX 1660 Mobile TU116M [GeForce GTX 1660 Mobile] |
Nvidia | TU116M | 1,033,746 | 140,971 | 7.33 | 3 hrs 16 mins |
| 32 | Tesla M40 GM200GL [Tesla M40] 6844 |
Nvidia | GM200GL | 1,032,585 | 140,682 | 7.34 | 3 hrs 16 mins |
| 33 | GeForce GTX 1660 Ti TU116 [GeForce GTX 1660 Ti] |
Nvidia | TU116 | 963,928 | 137,567 | 7.01 | 3 hrs 26 mins |
| 34 | P104-100 GP104 [P104-100] |
Nvidia | GP104 | 890,645 | 133,996 | 6.65 | 3 hrs 37 mins |
| 35 | GeForce GTX 1660 TU116 [GeForce GTX 1660] |
Nvidia | TU116 | 869,149 | 132,884 | 6.54 | 3 hrs 40 mins |
| 36 | GeForce GTX 1060 6GB GP106 [GeForce GTX 1060 6GB] 4372 |
Nvidia | GP106 | 763,189 | 126,948 | 6.01 | 3 hrs 60 mins |
| 37 | GeForce GTX 1650 SUPER TU116 [GeForce GTX 1650 SUPER] |
Nvidia | TU116 | 603,658 | 116,708 | 5.17 | 4 hrs 38 mins |
| 38 | GeForce GTX 1060 3GB GP106 [GeForce GTX 1060 3GB] 3935 |
Nvidia | GP106 | 581,193 | 114,032 | 5.10 | 4 hrs 43 mins |
| 39 | P106-100 GP106 [P106-100] |
Nvidia | GP106 | 570,296 | 115,594 | 4.93 | 4 hrs 52 mins |
|
|
|||||||
| 40 | GeForce GTX 1650 Mobile / Max-Q TU117M [GeForce GTX 1650 Mobile / Max-Q] |
Nvidia | TU117M | 433,174 | 105,511 | 4.11 | 5 hrs 51 mins |
| 41 | Quadro T2000 Mobile / Max-Q TU117GLM [Quadro T2000 Mobile / Max-Q] |
Nvidia | TU117GLM | 416,863 | 99,208 | 4.20 | 5 hrs 43 mins |
| 42 | GeForce GTX 1650 TU116 [GeForce GTX 1650] 2984 |
Nvidia | TU116 | 414,648 | 103,772 | 4.00 | 6 hrs 0 mins |
| 43 | GeForce GTX 1650 Ti Mobile TU117M [GeForce GTX 1650 Ti Mobile] |
Nvidia | TU117M | 359,874 | 86,051 | 4.18 | 5 hrs 44 mins |
| 44 | P106-090 GP106 [P106-090] |
Nvidia | GP106 | 283,004 | 91,573 | 3.09 | 7 hrs 46 mins |
| 45 | GeForce GTX 1050 LP GP107 [GeForce GTX 1050 LP] 1862 |
Nvidia | GP107 | 124,807 | 40,880 | 3.05 | 7 hrs 52 mins |
PROJECT FOLDING PPD AVERAGES BY CPU BETA
Data as of Sunday, 26 April 2026 00:39:38|
Rank Project |
CPU Model |
Logical Processors (LP) |
PPD-PLP AVG PPD per 1 LP |
ALL LP-PPD (Estimated) |
Make |
|---|