RESEARCH: ALCHEMICAL-BINDING-FREE-ENERGY
FOLDING PROJECT #12602 PROFILE

PROJECT TEAM

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

WORK UNIT INFO

Atoms: 30,000
Core: 0x26
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

Alchemiscale lets people design experiments to calculate how molecules bind together. These experiments are then run on powerful computers donated by Folding@Home users. Think of it like a crowdsourced lab for studying chemistry!

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

Energy difference between a bound and unbound molecule.

Scientific: Biotechnology
Computational Biology / Drug Discovery

Relative binding free energy describes the stability of a molecule when bound to another molecule. It's calculated by comparing the energy of the bound complex to the energy of the individual molecules when separated. This value is crucial in drug discovery as it helps predict how effectively a drug molecule binds to its target.


alchemiscale.org

A web platform for collaborative drug discovery.

Platform: Biotechnology
Computational Biology / Drug Discovery

Alchemiscale.org is a platform that allows researchers to share and collaborate on computational drug discovery projects. It provides tools for modeling molecular interactions, simulating protein folding, and analyzing large datasets. This platform fosters open science and accelerates the development of new drugs.


Networks of alchemical transformations

Sets of computational steps used to modify molecular properties.

Scientific: Biotechnology
Computational Biology / Drug Discovery

Networks of alchemical transformations represent a series of computational steps that can be applied to molecules. These transformations allow researchers to explore different chemical modifications and predict their effects on molecular properties, such as binding affinity or stability. This approach is valuable for optimizing drug candidates.


PROJECTs

Project for Execution by Folding@Home.

Acronym: Biotechnology
Computational Biology / Drug Discovery

PROJECTs stands for 'Projects for Execution by Folding@Home.' This refers to computational tasks submitted to the Folding@Home distributed computing platform. These projects often involve complex simulations and analyses that require significant processing power.


Folding@Home

A distributed computing platform for scientific research.

Platform: Biotechnology
Computational Biology / Drug Discovery

Folding@Home is a platform that harnesses the processing power of volunteers' computers to perform complex simulations. It's primarily used in computational biology to study protein folding and other biological processes. The Folding@Home platform has made significant contributions to drug discovery by enabling researchers to simulate molecular interactions and screen potential drug candidates.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:34:04
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 3080 Ti
GA102 [GeForce RTX 3080 Ti]
Nvidia GA102 5,899,188 54,351 108.54 0 hrs 13 mins
2 GeForce RTX 3080
GA102 [GeForce RTX 3080]
Nvidia GA102 3,146,329 62,162 50.61 0 hrs 28 mins
3 GeForce RTX 3090
GA102 [GeForce RTX 3090]
Nvidia GA102 2,490,814 34,950 71.27 0 hrs 20 mins
4 GeForce RTX 4060
AD107 [GeForce RTX 4060]
Nvidia AD107 2,194,603 54,898 39.98 0 hrs 36 mins
5 TITAN V
GV100 [TITAN V] M 12288
Nvidia GV100 2,174,858 7,315 297.31 0 hrs 5 mins
6 GeForce RTX 3060 Lite Hash Rate
GA106 [GeForce RTX 3060 Lite Hash Rate]
Nvidia GA106 1,986,354 53,242 37.31 0 hrs 39 mins
7 RTX A1000
GA107GL [RTX A1000]
Nvidia GA107GL 1,672,198 7,315 228.60 0 hrs 6 mins
8 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 1,126,239 7,315 153.96 0 hrs 9 mins
9 GeForce GTX 1050 Ti
GP107 [GeForce GTX 1050 Ti] 2138
Nvidia GP107 272,841 7,315 37.30 0 hrs 39 mins
10 RX Vega M GL
Polaris 22 XL [RX Vega M GL]
AMD Polaris 22 XL 206,117 7,315 28.18 0 hrs 51 mins
11 GeForce GTX Titan X
GM200 [GeForce GTX Titan X] 6144
Nvidia GM200 158,918 7,315 21.72 1 hrs 6 mins
12 Vega Mobile 5000 series APU
Cezanne [Vega Mobile 5000 series APU]
AMD Cezanne 113,265 20,786 5.45 4 hrs 24 mins

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:34:04
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make