RESEARCH: ALCHEMICAL-BINDING-ENERGY
FOLDING PROJECT #12601 PROFILE

PROJECT TEAM

Manager(s): David L. Dotson
Institution: Chodera Lab

WORK UNIT INFO

Atoms: 50,000
Core: 0x26
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

Alchemiscale lets users design experiments to study how molecules bind together. These experiments are then run by volunteers' computers through Folding@Home, a project that uses computing power for scientific research.

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

OFFICAL PROJECT DESCRIPTION

Relative binding free energy calculations orchestrated via alchemiscale.org.

Networks of alchemical transformations are submitted by alchemiscale users, and transformations that can be performed by Folding@Home are executed via these PROJECTs.

RELATED TERMS GLOSSARY AI BETA

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

Relative binding free energy

The difference in free energy between a ligand bound to a receptor and the unbound state.

Scientific: Biotechnology
Biochemistry / Molecular modeling

Relative binding free energy calculations help scientists understand how strongly a molecule (ligand) binds to another molecule (receptor). This information is crucial for drug development as it allows researchers to identify molecules that effectively bind to specific targets in the body.


alchemiscale.org

A platform for collaborative drug discovery using alchemical transformations.

Platform: Biotechnology
Computational Chemistry / Drug discovery

Alchemiscale.org is a web-based platform that facilitates the development of new drugs by enabling researchers to share and execute computational experiments involving molecular simulations.


Networks

Interconnected structures of nodes and edges.

Technical: Biotechnology
Computer Science / Graph Theory

In the context of alchemiscale.org, networks represent connections between different computational tasks or molecules involved in drug discovery.


PROJECTs

Project for the execution of alchemical transformations.

Acronym: Biotechnology
Computational Chemistry / Drug discovery

PROJECTs are computational tasks submitted to the Folding@Home platform via alchemiscale.org. These projects involve simulating molecular interactions and contribute to the discovery of new drugs.


Folding@Home

A distributed computing platform for scientific research.

Platform: Biotechnology
Bioinformatics / Distributed computing

Folding@Home is a network of volunteer computers that work together to perform complex simulations. In the context of alchemiscale.org, Folding@Home is used to execute computational projects related to drug discovery.


alchemical transformations

Changes in the structure of molecules that are simulated computationally.

Scientific: Biotechnology
Biochemistry / Molecular modeling

Alchemical transformations involve simulating modifications to molecular structures. This allows researchers to explore how changes in a molecule's properties affect its interactions with other molecules, which is crucial for drug design.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:34:05
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 SUPER
AD103 [GeForce RTX 4080 SUPER]
Nvidia AD103 34,338,552 46,725 734.91 0 hrs 2 mins
2 GeForce RTX 4080
AD103 [GeForce RTX 4080]
Nvidia AD103 32,170,099 46,725 688.50 0 hrs 2 mins
3 GeForce RTX 5090
GB202 [GeForce RTX 5090]
Nvidia GB202 24,947,081 46,725 533.91 0 hrs 3 mins
4 GeForce RTX 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 17,134,634 315,007 54.39 0 hrs 26 mins
5 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 15,128,943 307,828 49.15 0 hrs 29 mins
6 GeForce RTX 3080 Lite Hash Rate
GA102 [GeForce RTX 3080 Lite Hash Rate]
Nvidia GA102 11,474,178 192,511 59.60 0 hrs 24 mins
7 GeForce RTX 2080 Rev. A
TU104 [GeForce RTX 2080 Rev. A] 10068
Nvidia TU104 10,009,505 316,178 31.66 0 hrs 45 mins
8 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 9,893,902 222,555 44.46 0 hrs 32 mins
9 GeForce RTX 2080 Ti
TU102 [GeForce RTX 2080 Ti] M 13448
Nvidia TU102 7,991,027 46,725 171.02 0 hrs 8 mins
10 GeForce RTX 3070 Lite Hash Rate
GA104 [GeForce RTX 3070 Lite Hash Rate]
Nvidia GA104 7,840,997 289,160 27.12 0 hrs 53 mins
11 GeForce RTX 2070 Rev. A
TU106 [GeForce RTX 2070 Rev. A]
Nvidia TU106 7,113,376 46,725 152.24 0 hrs 9 mins
12 GeForce GTX 1080 Ti
GP102 [GeForce GTX 1080 Ti] 11380
Nvidia GP102 6,514,238 277,064 23.51 1 hrs 1 mins
13 GeForce RTX 2080 Ti Rev. A
TU102 [GeForce RTX 2080 Ti Rev. A] M 13448
Nvidia TU102 6,461,547 46,725 138.29 0 hrs 10 mins
14 GeForce RTX 2070
TU106 [GeForce RTX 2070]
Nvidia TU106 6,431,394 271,169 23.72 1 hrs 1 mins
15 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 6,173,690 46,725 132.13 0 hrs 11 mins
16 GeForce RTX 2070 SUPER
TU104 [GeForce RTX 2070 SUPER] 8218
Nvidia TU104 5,416,197 256,908 21.08 1 hrs 8 mins
17 GeForce RTX 3060 Ti Lite Hash Rate
GA104 [GeForce RTX 3060 Ti Lite Hash Rate]
Nvidia GA104 5,319,324 82,502 64.48 0 hrs 22 mins
18 GeForce RTX 3070
GA104 [GeForce RTX 3070]
Nvidia GA104 5,104,148 240,817 21.20 1 hrs 8 mins
19 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 3,946,695 46,725 84.47 0 hrs 17 mins
20 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 3,875,795 118,853 32.61 0 hrs 44 mins
21 GeForce RTX 3060
GA104 [GeForce RTX 3060]
Nvidia GA104 3,855,395 46,725 82.51 0 hrs 17 mins
22 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 3,773,769 171,186 22.04 1 hrs 5 mins
23 GeForce RTX 3060 Mobile / Max-Q
GA106M [GeForce RTX 3060 Mobile / Max-Q]
Nvidia GA106M 3,693,588 226,904 16.28 1 hrs 28 mins
24 GeForce GTX 1080
GP104 [GeForce GTX 1080] 8873
Nvidia GP104 3,398,952 220,595 15.41 1 hrs 33 mins
25 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 Super]
Nvidia TU106 2,870,967 46,725 61.44 0 hrs 23 mins
26 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 2,861,215 46,725 61.24 0 hrs 24 mins
27 GeForce GTX 1070
GP104 [GeForce GTX 1070] 6463
Nvidia GP104 2,806,804 207,256 13.54 1 hrs 46 mins
28 RTX A2000
GA106 [RTX A2000]
Nvidia GA106 2,751,634 46,725 58.89 0 hrs 24 mins
29 GeForce GTX 1660
TU116 [GeForce GTX 1660]
Nvidia TU116 2,743,636 46,725 58.72 0 hrs 25 mins
30 RTX A1000
GA107GL [RTX A1000]
Nvidia GA107GL 2,721,071 46,725 58.24 0 hrs 25 mins
31 GeForce GTX 1660 Ti
TU116 [GeForce GTX 1660 Ti]
Nvidia TU116 2,639,890 46,725 56.50 0 hrs 25 mins
32 RTX A2000 12GB
GA106 [RTX A2000 12GB]
Nvidia GA106 2,235,250 46,725 47.84 0 hrs 30 mins
33 GeForce RTX 2060
TU104 [GeForce RTX 2060]
Nvidia TU104 2,220,653 46,725 47.53 0 hrs 30 mins
34 GeForce GTX 1660 SUPER
TU116 [GeForce GTX 1660 SUPER]
Nvidia TU116 2,059,269 46,725 44.07 0 hrs 33 mins
35 GeForce GTX 1660 Mobile
TU116M [GeForce GTX 1660 Mobile]
Nvidia TU116M 1,633,113 172,334 9.48 2 hrs 32 mins
36 Tesla P4
GP104GL [Tesla P4] 5704
Nvidia GP104GL 1,584,482 170,264 9.31 2 hrs 35 mins
37 GeForce GTX 1650 SUPER
TU116 [GeForce GTX 1650 SUPER]
Nvidia TU116 1,460,708 163,632 8.93 2 hrs 41 mins
38 GeForce GTX 1070 Mobile
GP104BM [GeForce GTX 1070 Mobile] 6463
Nvidia GP104BM 1,178,105 46,725 25.21 0 hrs 57 mins
39 RX 470/480/570/580/590
Ellesmere XT [RX 470/480/570/580/590]
AMD Ellesmere XT 821,178 137,451 5.97 4 hrs 1 mins
40 GeForce GTX 1650
TU117 [GeForce GTX 1650]
Nvidia TU117 808,375 100,987 8.00 2 hrs 60 mins
41 GeForce GTX 1050 LP
GP107 [GeForce GTX 1050 LP] 1862
Nvidia GP107 807,230 46,725 17.28 1 hrs 23 mins
42 GeForce GTX 980
GM204 [GeForce GTX 980] 4612
Nvidia GM204 664,066 46,725 14.21 1 hrs 41 mins
43 GeForce RTX 4060 Ti
AD106 [GeForce RTX 4060 Ti]
Nvidia AD106 614,191 27,851 22.05 1 hrs 5 mins
44 Radeon R9 285/380
Tonga PRO [Radeon R9 285/380]
AMD Tonga PRO 457,686 114,591 3.99 6 hrs 1 mins
45 RX Vega M GL
Polaris 22 XL [RX Vega M GL]
AMD Polaris 22 XL 324,176 46,725 6.94 3 hrs 28 mins
46 Quadro K1200
GM107GL [Quadro K1200]
Nvidia GM107GL 242,793 46,725 5.20 4 hrs 37 mins
47 Ryzen 7000 Series iGPU
Raphael [Ryzen 7000 Series iGPU]
AMD Raphael 74,962 62,420 1.20 19 hrs 59 mins
48 FirePro W2100
Oland GL [FirePro W2100]
AMD Oland GL 28,337 46,725 0.61 39 hrs 34 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:34:05
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make