RESEARCH: COVID-19
FOLDING PROJECT #18488 PROFILE

PROJECT TEAM

Manager(s): Prof. Vincent Voelz
Institution: Temple University

WORK UNIT INFO

Atoms: 131,051
Core: 0x22
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

The project relates to using computer simulations to see how small molecules bind to a protein from the SARS-CoV-2 virus. This will help scientists design new drugs to fight COVID-19. The results will be compared to real lab experiments done as part of the COVID Moonshot initiative.

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

OFFICAL PROJECT DESCRIPTION

In fragment-based drug discovery, high-throughput screening is used to identify a set of simple, low-affinity (milli-to-micromolar) molecular fragments that bind a protein target.

Information about the chemical and structural properties of the fragments are then used to inform the design of more potent binders.

Are molecular simulations of fragment binding up to the task of providing similarly accurate information? The recent availability of crystallographic fragment screening datasets, along with high-resolution structures of fragment-bound protein receptors, offers a unique opportunity to test this hypothesis.
In this project, we are simulating the binding of several small-molecule fragments to the SARS CoV-2 main protease dimer, the results of which we will compare to crystallographic fragment-screening data generated as part of the COVID Moonshot.

RELATED TERMS GLOSSARY AI BETA

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

fragment-based drug discovery

A method of drug design that involves identifying small molecules that bind to a target protein and then optimizing these fragments for potency.

Process: Biotechnology
Drug Discovery / Medicinal Chemistry

Fragment-based drug discovery is a powerful technique used to develop new drugs. It starts by finding small molecules that weakly bind to a specific target protein. These fragments are then modified and improved until they become potent inhibitors of the target, leading to the development of new therapeutic agents.


high-throughput screening

A method for rapidly testing thousands of compounds against a biological target to identify potential drug candidates.

Process: Biotechnology
Drug Discovery / Medicinal Chemistry

High-throughput screening (HTS) is a crucial technique in drug discovery. It involves testing a vast number of chemical compounds against a specific biological target, such as a protein or enzyme. This allows researchers to quickly identify promising drug candidates that interact with the target and have the desired effect.


molecular fragments

Small molecules that bind to a target protein but may not be potent inhibitors on their own.

Chemical Entity: Biotechnology
Drug Discovery / Medicinal Chemistry

Molecular fragments are small chemical building blocks that have the potential to interact with biological targets. In drug discovery, they serve as starting points for developing more potent and specific drugs. By identifying fragments that bind to a target protein, researchers can then modify and optimize these fragments to create more effective therapeutic agents.


protein target

A specific protein that is the intended target of a drug.

Biological Entity: Biotechnology
Drug Discovery / Biochemistry

Protein targets are essential components in drug discovery. They are specific proteins involved in biological processes that can be modulated by drugs to achieve therapeutic effects. Identifying and understanding the structure and function of protein targets allows researchers to develop drugs that specifically interact with these targets, leading to the desired therapeutic outcome.


crystallographic fragment screening

A method for identifying fragments that bind to a protein target using X-ray crystallography.

Technique: Biotechnology
Drug Discovery / Structural Biology

Crystallographic fragment screening is a powerful technique used in drug discovery. It involves determining the three-dimensional structure of a protein bound to small molecule fragments. By analyzing these structures, researchers can identify fragments that interact with specific sites on the protein, providing valuable information for developing new drugs.


SARS CoV-2

Severe Acute Respiratory Syndrome Coronavirus 2

Biological Entity: Biotechnology, Pharmaceutical
Infectious Disease / Virology

SARS-CoV-2 is the virus responsible for the disease COVID-19. It is a highly contagious respiratory virus that can cause severe illness and death. Researchers are actively working to develop vaccines and treatments for SARS-CoV-2.


main protease dimer

A key enzyme in the SARS-CoV-2 virus that is essential for viral replication.

Biological Entity: Biotechnology, Pharmaceutical
Infectious Disease / Virology

The main protease dimer is a crucial enzyme found in the SARS-CoV-2 virus. It plays a vital role in viral replication by cleaving viral proteins into smaller functional units. Inhibiting this enzyme is a promising strategy for developing antiviral drugs against COVID-19.


COVID Moonshot

A global initiative to accelerate the development and deployment of vaccines, treatments, and diagnostics for COVID-19.

Initiative: Biotechnology, Government
Public Health / Pandemic Response

The COVID Moonshot is a large-scale collaborative effort aimed at rapidly developing and distributing solutions to combat the COVID-19 pandemic. It involves researchers, scientists, governments, and organizations from around the world working together to accelerate the development of vaccines, treatments, and diagnostic tools.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Sunday, 26 April 2026 03:28:11
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 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 14,081,535 609,022 23.12 1 hrs 2 mins
2 GeForce RTX 4080 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 13,733,035 148,498 92.48 0 hrs 16 mins
3 GeForce RTX 4090
AD102 [GeForce RTX 4090]
Nvidia AD102 13,651,939 755,029 18.08 1 hrs 20 mins
4 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 10,359,792 700,478 14.79 1 hrs 37 mins
5 GeForce RTX 4070 Ti
AD104 [GeForce RTX 4070 Ti]
Nvidia AD104 9,522,035 663,998 14.34 1 hrs 40 mins
6 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 8,693,244 649,176 13.39 1 hrs 48 mins
7 GeForce RTX 4070 SUPER
AD104 [GeForce RTX 4070 SUPER]
Nvidia AD104 7,711,196 611,030 12.62 1 hrs 54 mins
8 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 6,953,661 611,029 11.38 2 hrs 7 mins
9 Radeon RX 7900XT/XTX/GRE
Navi 31 [Radeon RX 7900XT/XTX/GRE]
AMD Navi 31 6,377,050 554,292 11.50 2 hrs 5 mins
10 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 5,963,195 579,003 10.30 2 hrs 20 mins
11 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 5,600,900 566,414 9.89 2 hrs 26 mins
12 Radeon RX 7700XT/7800XT
Navi 32 [Radeon RX 7700XT/7800XT]
AMD Navi 32 4,616,606 148,498 31.09 0 hrs 46 mins
13 GeForce RTX 3070 Ti
GA104 [GeForce RTX 3070 Ti]
Nvidia GA104 4,515,507 531,151 8.50 2 hrs 49 mins
14 Radeon RX 6950 XT
Navi 21 [Radeon RX 6950 XT]
AMD Navi 21 4,343,906 517,012 8.40 2 hrs 51 mins
15 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 4,231,080 515,348 8.21 2 hrs 55 mins
16 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 3,600,718 489,824 7.35 3 hrs 16 mins
17 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 3,299,415 148,498 22.22 1 hrs 5 mins
18 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 3,028,593 462,138 6.55 3 hrs 40 mins
19 Radeon RX 6800/6800XT/6900XT
Navi 21 [Radeon RX 6800/6800XT/6900XT]
AMD Navi 21 3,007,415 427,478 7.04 3 hrs 25 mins
20 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 SUPER]
Nvidia TU106 2,447,233 432,978 5.65 4 hrs 15 mins
21 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 2,424,064 384,458 6.31 3 hrs 48 mins
22 GeForce RTX 3060
GA106 [GeForce RTX 3060]
Nvidia GA106 2,111,944 411,847 5.13 4 hrs 41 mins
23 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,889,535 396,328 4.77 5 hrs 2 mins
24 Radeon RX 6700/6700XT/6800M
Navi 22 XT-XL [Radeon RX 6700/6700XT/6800M]
AMD Navi 22 XT-XL 1,737,483 304,253 5.71 4 hrs 12 mins
25 Radeon RX 6650XT
Navi 23 [Radeon RX 6650XT]
AMD Navi 23 1,679,231 381,204 4.41 5 hrs 27 mins
26 GeForce GTX 980 Ti
GM200 [GeForce GTX 980 Ti] 5632
Nvidia GM200 1,387,218 358,159 3.87 6 hrs 12 mins
27 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 1,088,297 327,340 3.32 7 hrs 13 mins
28 RX 5600 OEM/5600XT/5700/5700XT
Navi 10 [RX 5600 OEM/5600XT/5700/5700XT]
AMD Navi 10 1,016,821 216,415 4.70 5 hrs 6 mins
29 Quadro T1000 Mobile
TU117GLM [Quadro T1000 Mobile]
Nvidia TU117GLM 500,444 148,498 3.37 7 hrs 7 mins
30 RX 470/480/570/580/590
Ellesmere XT [RX 470/480/570/580/590]
AMD Ellesmere XT 394,565 148,498 2.66 9 hrs 2 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Sunday, 26 April 2026 03:28:11
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make