RESEARCH: DRUG-LOGP-PREDICTION
FOLDING PROJECT #12472 PROFILE

PROJECT TEAM

Manager(s): Prof. Vincent Voelz
Institution: Temple University

WORK UNIT INFO

Atoms: 17,600
Core: 0xa8
Status: Public

Related Projects

TLDR; PROJECT SUMMARY AI BETA

This project looks at using computer simulations to predict how well drugs dissolve in the body. It tests different simulation methods and sees if the chosen model affects the results. This is important because a drug's ability to dissolve determines how well it works.

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

OFFICAL 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..

RELATED TERMS GLOSSARY AI BETA

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

partition coefficient

A measure of a substance's solubility in two immiscible liquids.

scientific: biotechnology
drug discovery / pharmacology

The partition coefficient describes how readily a molecule dissolves in water compared to an organic solvent. It's crucial for understanding drug absorption and distribution within the body. A higher partition coefficient indicates greater solubility in the organic solvent, suggesting a more lipid-soluble drug.


logP

Logarithm of the partition coefficient.

scientific: biotechnology
drug discovery / pharmacology

logP is a shortened way to express the partition coefficient. It's often used to predict how well a drug will dissolve in both water and fats within the body. A higher logP value generally means a drug is more lipid-soluble, which can influence its ability to cross cell membranes and reach its target.


lipophilicity

The tendency of a molecule to dissolve in lipids (fats) rather than water.

scientific: biotechnology
drug discovery / pharmacology

Lipophilicity describes how easily a substance dissolves in fats. It's important for drug development because it affects how well a drug can pass through cell membranes and reach its target site in the body. Highly lipophilic drugs tend to dissolve better in fats, while hydrophilic drugs prefer water.


bioavailability

The proportion of a drug that reaches the systemic circulation.

scientific: biotechnology
drug discovery / pharmacology

Bioavailability refers to how much of a drug actually enters the bloodstream and becomes available to work. It depends on factors like how well the drug dissolves, its ability to be absorbed by the body, and any metabolism or breakdown before it reaches the bloodstream.


forcefield

A set of parameters used in molecular simulations to describe the interactions between atoms.

scientific: biotechnology
drug discovery / computational chemistry

Forcefields are like mathematical models that define how atoms interact with each other. In drug discovery, they're used in computer simulations to predict how molecules will behave and interact, helping researchers design new drugs and understand how existing ones work.

PROJECT FOLDING PPD AVERAGES BY GPU

Data as of Tuesday, 14 April 2026 06:34:16
Rank
Project
Model Name
Folding@Home Identifier
Make
Brand
GPU
Model
PPD
Average
Points WU
Average
WUs Day
Average
WU Time
Average

PROJECT FOLDING PPD AVERAGES BY CPU BETA

Data as of Tuesday, 14 April 2026 06:34:16
Rank
Project
CPU Model Logical
Processors (LP)
PPD-PLP
AVG PPD per 1 LP
ALL LP-PPD
(Estimated)
Make
1 RYZEN THREADRIPPER 7980X 64-CORES 64 54,850 3,510,400 AMD
2 RYZEN 9 9950X3D 16-CORE 32 45,829 1,466,528 AMD
3 RYZEN 9 9950X 16-CORE 32 28,246 903,872 AMD
4 RYZEN 9 5950X 16-CORE 32 18,522 592,704 AMD
5 RYZEN 9 7900 12-CORE 24 20,315 487,560 AMD
6 12TH GEN CORE I9-12900K 24 20,068 481,632 Intel
7 RYZEN 7 5700X 8-CORE 16 29,667 474,672 AMD
8 RYZEN 7 5700X3D 8-CORE 16 26,896 430,336 AMD
9 RYZEN 7 5700G 16 17,081 273,296 AMD
10 RYZEN 7 3700X 8-CORE 16 15,155 242,480 AMD
11 RYZEN 9 3900X 12-CORE 24 9,239 221,736 AMD
12 RYZEN 9 3900XT 12-CORE 24 6,712 161,088 AMD
13 11TH GEN CORE I7-11700F @ 2.50GHZ 16 6,808 108,928 Intel
14 RYZEN 7 5800X3D 8-CORE 16 AMD
15 RYZEN 9 9900X 12-CORE 24 AMD