Research section Research projects and references

Research: DRUG-SOLUBILITY-PREDICTION Folding Project #12473

Project #12473 overview

Project Summary AI Beta

This project explores using computer simulations to predict how well drugs dissolve in water compared to fats (logP). Different simulation settings are tested to see which ones work best.
Automated summary; simplified and may not be fully accurate.

Project team

Manager(s)
Prof. Vincent Voelz
Institution
Temple University

Work unit

Atoms
15,950
Core
0xa8
Status
Public
Source material

Official Project Description

A key challenge in computational drug discovery is developing and testing methods to predict experimental partition coefficients for the relative solubility of organic molecules in aqueous vs.

non-polar media.

The logarithm of the partition coeffient, logP, is an important predictor of lipophilicity, which dictates the bioavailability of drugs.

This CPU project is testing expanded-ensemble (EE) simulations as a method for the calculation of logP and seeing if forcefield selection effects these calculations..

Performance data

Hardware Performance for Project 12473

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

Data as of Sunday, 02 August 2026 22:08:54

CPU PPD Averages Beta

Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 XEON W-3245 CPU @ 3.20GHZ 32 31,241 999,712 Intel
2 RYZEN 9 9950X 16-CORE 32 24,935 797,920 AMD
3 RYZEN 9 7900 12-CORE 24 25,232 605,568 AMD
4 RYZEN 9 5950X 16-CORE 32 18,226 583,232 AMD
5 RYZEN 7 5700X 8-CORE 16 29,911 478,576 AMD
6 RYZEN 7 5700X3D 8-CORE 16 24,331 389,296 AMD
7 RYZEN 7 8845HS W/ RADEON(TM) 780M GRAPHICS 16 19,830 317,280 AMD
8 13TH GEN CORE I7-13700 24 12,836 308,064 Intel
9 13TH GEN CORE I5-13600K 14 14,584 204,176 Intel
10 CORE ULTRA 7 265K 20 8,738 174,760 Intel
11 RYZEN 7 3700X 8-CORE 16 8,431 134,896 AMD
12 11TH GEN CORE I7-11700F @ 2.50GHZ 16 6,578 105,248 Intel