Abstract
Advances in combinatorial synthesis and high throughput screening have resulted in libraries containing hundreds of thousands of drug candidate compounds. Computational prediction of properties that will determine the utility of a drug molecule has become a sine qua non in the pharmaceutical industry, because of the appreciation that ADMET properties must be considered early in the discovery process and the higher cost of experimental alternatives. In this paper we are reviewing the models developed recently to predict the permeation of organic molecules through the blood-brain barrier.
Keywords: blood-brain partition coefficient, computer simulations, qsar
Current Medicinal Chemistry - Central Nervous System Agents
Title: A Review of Methods for Computational Prediction of Blood-Brain Partitioning
Volume: 5 Issue: 3
Author(s): Yiannis N. Kaznessis
Affiliation:
Keywords: blood-brain partition coefficient, computer simulations, qsar
Abstract: Advances in combinatorial synthesis and high throughput screening have resulted in libraries containing hundreds of thousands of drug candidate compounds. Computational prediction of properties that will determine the utility of a drug molecule has become a sine qua non in the pharmaceutical industry, because of the appreciation that ADMET properties must be considered early in the discovery process and the higher cost of experimental alternatives. In this paper we are reviewing the models developed recently to predict the permeation of organic molecules through the blood-brain barrier.
Export Options
About this article
Cite this article as:
Kaznessis N. Yiannis, A Review of Methods for Computational Prediction of Blood-Brain Partitioning, Current Medicinal Chemistry - Central Nervous System Agents 2005; 5 (3) . https://dx.doi.org/10.2174/1568015054863864
DOI https://dx.doi.org/10.2174/1568015054863864 |
Print ISSN 1568-0150 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6158 |