RESEARCH: LOGP
FOLDING PROJECT #18466 PROFILE

This project uses computer simulations to predict how well drugs dissolve in water compared to oil. This is important because it helps scientists understand how easily drugs can be absorbed by the body.

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

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 aquoeus vs/ non-polar media.

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

These CPU projects are expanded-ensemble (EE) simulations designed to predict water/toluene partition coefficients of small-molecule drugs as part of the recent SAMPL9 logP challenge.

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partition coefficient

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

The partition coefficient describes how well a substance dissolves in water compared to another liquid, like oil. It's crucial in drug development because it affects how easily drugs move through the body and reach their target.

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logP

The logarithm of the partition coefficient.

logP is a simplified way to represent the partition coefficient. A higher logP value indicates that a substance prefers to dissolve in oil rather than water, which can affect how well drugs are absorbed by the body.

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lipophilicity

The tendency of a substance to dissolve in lipids (fats).

Lipophilicity is a measure of how easily a substance dissolves in fats. Drugs with high lipophilicity tend to be absorbed better by the body, but can also have longer lasting effects.

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bioavailability

The fraction of a drug that reaches the bloodstream.

Bioavailability describes how much of a drug actually enters the bloodstream and becomes available to act on its target. This is influenced by factors like how the drug is taken (pill, injection, etc.) and its solubility.

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SAMPL9

The 9th Simulation Assessment for Modeling of Pharmaceuticals and Ligand properties.

SAMPL is a community-driven initiative that brings together researchers to develop and test computational methods for predicting drug properties. Each year, they release a new challenge with specific targets.