RESEARCH: DRUG-LOGP-PREDICTION
FOLDING PROJECT #12472 PROFILE
PROJECT TEAM
Manager(s): Prof. Vincent VoelzInstitution: Temple University
WORK UNIT INFO
Atoms: 17,600Core: 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
partition coefficient
A measure of a substance's solubility in two immiscible liquids.
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.
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.
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.
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.
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 |