RESEARCH: ALCHEMICAL-BINDING-ENERGY
FOLDING PROJECT #12603 PROFILE
PROJECT TEAM
Manager(s): David L. DotsonInstitution: Chodera Lab
WORK UNIT INFO
Atoms: 100,000Core: 0x26
Status: Public
Related Projects
TLDR; PROJECT SUMMARY AI BETA
Alchemiscale lets people design experiments to figure out how strongly molecules stick together. These experiments use computer power from Folding@Home to run simulations. Users create 'projects' with instructions for these simulations, and Folding@Home volunteers help complete them.
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
Relative binding free energy
Energy difference between a ligand bound and unbound to a target.
Relative binding free energy is a measure of how strongly a molecule (ligand) binds to another molecule (target). It's calculated by comparing the energy of the bound complex to the energy of the unbound molecules. This value helps researchers understand the interactions between drugs and their targets, which is crucial for developing new therapies.
alchemiscale.org
A web-based platform for collaborative drug discovery.
Alchemiscale.org is a platform that allows researchers to share and collaborate on drug discovery projects. It provides tools for running simulations, analyzing data, and communicating with other scientists.
Networks
Interconnected systems of nodes and edges.
In the context of drug discovery, networks can refer to the interconnectedness of molecules, proteins, or genes. Understanding these networks can help researchers identify potential drug targets and predict how drugs might interact with biological systems.
alchemical transformations
Simulated chemical reactions and modifications.
Alchemical transformations are virtual experiments that simulate how molecules change chemically. In drug discovery, these simulations can be used to explore different drug candidates and understand how they interact with their targets.
PROJECTS
Platform for executing alchemical transformations
PROJECTS is a platform within alchemiscale.org that allows users to submit and track alchemical transformation simulations. These simulations are often executed using distributed computing resources like Folding@Home.
Folding@Home
A distributed computing project that uses volunteered computer processing power for scientific research.
Folding@Home is a platform that harnesses the power of thousands of computers to simulate protein folding. This type of simulation is crucial for understanding how proteins function and designing new drugs.
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 3090 GA102 [GeForce RTX 3090] |
Nvidia | GA102 | 12,145,573 | 355,935 | 34.12 | 0 hrs 42 mins |
| 2 | GeForce RTX 2060 TU104 [GeForce RTX 2060] |
Nvidia | TU104 | 7,214,408 | 473,900 | 15.22 | 1 hrs 35 mins |
| 3 | GeForce RTX 3060 Ti Lite Hash Rate GA104 [GeForce RTX 3060 Ti Lite Hash Rate] |
Nvidia | GA104 | 3,353,828 | 52,100 | 64.37 | 0 hrs 22 mins |
| 4 | GeForce RTX 3060 Mobile / Max-Q GA106M [GeForce RTX 3060 Mobile / Max-Q] |
Nvidia | GA106M | 2,761,352 | 220,839 | 12.50 | 1 hrs 55 mins |
| 5 | GeForce RTX 3070 GA104 [GeForce RTX 3070] |
Nvidia | GA104 | 1,944,990 | 195,189 | 9.96 | 2 hrs 25 mins |
| 6 | RTX A1000 GA107GL [RTX A1000] |
Nvidia | GA107GL | 1,659,304 | 52,100 | 31.85 | 0 hrs 45 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 |
|---|