Research section Research projects and references

Research: CANCER Folding Project #12497

Project #12497 overview

Project Summary AI Beta

No TLDR available at this time.
Missing summaries require a separate enrichment run.

Project team

Manager(s)
Prof. Vincent Voelz
Institution
Temple University

Work unit

Atoms
10,000
Core
0x27
Status
Public
Source material

Official Project Description

These projects are 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. This work, a collaboration between the Voelz and Shirts lab, seeks to test and apply OpenFreeEnergy methods for drug discovery.

Performance data

Hardware Performance for Project 12497

Compare community-sampled Folding@Home output for the GPUs and CPUs processing this project.

Data as of Sunday, 02 August 2026 22:08:35

GPU PPD Averages

Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average
1 Quadro RTX 4000
TU104GL [Quadro RTX 4000]
Nvidia TU104GL 6,908,266 6,000 1151.38 0 hrs 1 mins
2 GeForce RTX 2060
TU106 [Geforce RTX 2060]
Nvidia TU106 6,598,345 6,000 1099.72 0 hrs 1 mins
3 Intel Arc B580 Graphics
Battlemage G21 [Intel Arc B580 Graphics]
Intel Battlemage G21 5,888,479 6,000 981.41 0 hrs 1 mins
4 GeForce RTX 2060 Super
TU106 [GeForce RTX 2060 Super]
Nvidia TU106 5,193,844 6,000 865.64 0 hrs 2 mins