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Journal ArticleDOI

Prediction of Hydrophobic (Lipophilic) Properties of Small Organic Molecules Using Fragmental Methods: An Analysis of ALOGP and CLOGP Methods

Arup K. Ghose, +2 more
- 05 May 1998 - 
- Vol. 102, Iss: 21, pp 3762-3772
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TLDR
In this article, an extensive reparametrization of the atomic log P values and a detailed comparison of the performance of ALOGP and CLOGP methods on the Pomona Medchem database were presented.
Abstract
Molecular hydrophobicity (lipophilicity), usually quantified as log P (the logarithm of 1-octanol/water partition coefficient), is an important molecular characteristic in drug discovery. ALOGP and CLOGP are two of the most widely used methods for the estimation of log P. This work describes an extensive reparametrization of the atomic log P values and a detailed comparison of the performance of ALOGP and CLOGP methods on the Pomona Medchem database. Only the “star list” compounds having precisely measured log P values were used in this analysis. While the overall results with both methods are similar, analysis shows that the CLOGP method is better for very small molecules in the range of 1−20 atoms. The two methods are almost comparable in the range of 21−45 atoms, while the ALOGP method has better accuracy for molecules with more than 45 atoms. Although the rms deviation and the correlation coefficient for CLOGP predictions were marginally better than those for corresponding ALOGP predictions, the latte...

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Journal ArticleDOI

Extended-Connectivity Fingerprints

TL;DR: A description of their implementation has not previously been presented in the literature, and ECFPs can be very rapidly calculated and can represent an essentially infinite number of different molecular features.
Journal ArticleDOI

A knowledge-based approach in designing combinatorial or medicinal chemistry libraries for drug discovery. 1. A qualitative and quantitative characterization of known drug databases.

TL;DR: The effective range of physicochemical properties presented here can be used in the design of drug-like combinatorial libraries as well as in developing a more efficient corporate medicinal chemistry library.
Journal ArticleDOI

Prediction of drug absorption using multivariate statistics.

TL;DR: Literature data on compounds both well- and poorly-absorbed in humans were used to build a statistical pattern recognition model of passive intestinal absorption, selecting PSA and AlogP98 as descriptors based on consideration of the physical processes involved in membrane permeability and the interrelationships and redundancies between available descriptors.
Journal ArticleDOI

A BOILED-Egg To Predict Gastrointestinal Absorption and Brain Penetration of Small Molecules

TL;DR: The Brain Or IntestinaL EstimateD permeation method (BOILED‐Egg) is proposed as an accurate predictive model that works by computing the lipophilicity and polarity of small molecules.
Journal ArticleDOI

Prediction of Physicochemical Parameters by Atomic Contributions

TL;DR: A new atom type classification system for use in atom-based calculation of partition coefficient (log P) and molar refractivity (MR) designed in part to address published concerns of previous atomic methods is presented.
References
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Journal ArticleDOI

SMILES, a chemical language and information system. 1. introduction to methodology and encoding rules

TL;DR: This chapter discusses the construction of Benzenoid and Coronoid Hydrocarbons through the stages of enumeration, classification, and topological properties in a number of computers used for this purpose.
Journal ArticleDOI

Comparative molecular field analysis (CoMFA). 1. Effect of shape on binding of steroids to carrier proteins.

TL;DR: The main features of the CoMFA approach, exemplified by analyses of the affinities of 21 varied steroids to corticosteroid and testosterone-binding globulins, and a number of advances in the methodology of molecular graphics are described.
Journal ArticleDOI

Semianalytical treatment of solvation for molecular mechanics and dynamics

TL;DR: In this paper, it was shown that the active carbon incorporation catalyst is carbided iron and this conclusion was well supported by bulk carbon to iron stoichiometries of 0.1-0.25 estimated from the TPHT peak areas which were adequate to represent 40-60'36 conversion to bulk carbides such as Fe,C or FeSC2.
Journal ArticleDOI

Atomic physicochemical parameters for three dimensional structure directed quantitative structure-activity relationships. 4. Additional parameters for hydrophobic and dispersive interactions and their application for an automated superposition of certain naturally occurring nucleoside antibiotics

TL;DR: Les valeurs d'hydrophobicite de 120 types d'atomes sont evalues pour 893 composes a partir des refractivites molaires de 538 composes and la methode de superposition a ete appliquee a des antibiotiques nucleosides naturels isabelle d'un nombre important de composes.
Journal ArticleDOI

Atomic physicochemical parameters for three-dimensional-structure-directed quantitative structure-activity relationships. 2. Modeling dispersive and hydrophic interactions

TL;DR: The degree of closeness of the linear relationship between the atomic water-1-octanol partition coefficients and molar refractivities has been checked, and the low value suggests that both parameters can be used to model the intermolecular interaction.
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