Can small drugs predict the intrinsic aqueous solubility of ‘beyond Rule of 5’ big drugs?

The aim of the study was to explore to what extent small molecules (mostly from the Rule of 5 chemical space) can be used to predict the intrinsic aqueous solubility, S0, of big molecules from beyond the Rule of 5 (bRo5) space. It was demonstrated that the General Solubility Equation (GSE) and the A...

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Main Authors: Alex Avdeef, Manfred Kansy
Format: Article
Language:English
Published: International Association of Physical Chemists (IAPC) 2020-04-01
Series:ADMET and DMPK
Online Access:https://pub.iapchem.org/ojs/index.php/admet/article/view/794
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spelling doaj-feff6495eaaa4069af86b00a7abf22742020-12-17T11:16:04ZengInternational Association of Physical Chemists (IAPC)ADMET and DMPK1848-77182020-04-018318020610.5599/admet.794794Can small drugs predict the intrinsic aqueous solubility of ‘beyond Rule of 5’ big drugs?Alex Avdeef0Manfred Kansy1in-ADME Research, USARoche · Pharmaceutical SciencesThe aim of the study was to explore to what extent small molecules (mostly from the Rule of 5 chemical space) can be used to predict the intrinsic aqueous solubility, S0, of big molecules from beyond the Rule of 5 (bRo5) space. It was demonstrated that the General Solubility Equation (GSE) and the Abraham Solvation Equation (ABSOLV) underpredict solubility in systematic but slightly ways. The Random Forest regression (RFR) method predicts solubility more accurately, albeit in the manner of a ‘black box.’ It was discovered that the GSE improves considerably in the case of big molecules when the coefficient of the log P term (octanol-water partition coefficient) in the equation is set to -0.4 instead of the traditional -1 value. The traditional GSE underpredicts solubility for molecules with experimental S0 < 50 µM. In contrast, the ABSOLV equation (trained with small molecules) underpredicts the solubility of big molecules in all cases tested. It was found that the errors in the ABSOLV-predicted solubilities of big molecules correlate linearly with the number of rotatable bonds, which suggests that flexibility may be an important factor in differentiating solubility of small from big molecules. Notably, most of the 31 big molecules considered have negative enthalpy of solution: these big molecules become less soluble with increasing temperature, which is compatible with ‘molecular chameleon’ behavior associated with intramolecular hydrogen bonding. The X‑ray structures of many of these molecules reveal void spaces in their crystal lattices large enough to accommodate many water molecules when such solids are in contact with aqueous media. The water sorbed into crystals suspended in aqueous solution may enhance solubility by way of intra-lattice solute-water interactions involving the numerous H‑bond acceptors in the big molecules studied. A ‘Solubility Enhancement–Big Molecules’ index was defined, which embodies many of the above findings.https://pub.iapchem.org/ojs/index.php/admet/article/view/794
collection DOAJ
language English
format Article
sources DOAJ
author Alex Avdeef
Manfred Kansy
spellingShingle Alex Avdeef
Manfred Kansy
Can small drugs predict the intrinsic aqueous solubility of ‘beyond Rule of 5’ big drugs?
ADMET and DMPK
author_facet Alex Avdeef
Manfred Kansy
author_sort Alex Avdeef
title Can small drugs predict the intrinsic aqueous solubility of ‘beyond Rule of 5’ big drugs?
title_short Can small drugs predict the intrinsic aqueous solubility of ‘beyond Rule of 5’ big drugs?
title_full Can small drugs predict the intrinsic aqueous solubility of ‘beyond Rule of 5’ big drugs?
title_fullStr Can small drugs predict the intrinsic aqueous solubility of ‘beyond Rule of 5’ big drugs?
title_full_unstemmed Can small drugs predict the intrinsic aqueous solubility of ‘beyond Rule of 5’ big drugs?
title_sort can small drugs predict the intrinsic aqueous solubility of ‘beyond rule of 5’ big drugs?
publisher International Association of Physical Chemists (IAPC)
series ADMET and DMPK
issn 1848-7718
publishDate 2020-04-01
description The aim of the study was to explore to what extent small molecules (mostly from the Rule of 5 chemical space) can be used to predict the intrinsic aqueous solubility, S0, of big molecules from beyond the Rule of 5 (bRo5) space. It was demonstrated that the General Solubility Equation (GSE) and the Abraham Solvation Equation (ABSOLV) underpredict solubility in systematic but slightly ways. The Random Forest regression (RFR) method predicts solubility more accurately, albeit in the manner of a ‘black box.’ It was discovered that the GSE improves considerably in the case of big molecules when the coefficient of the log P term (octanol-water partition coefficient) in the equation is set to -0.4 instead of the traditional -1 value. The traditional GSE underpredicts solubility for molecules with experimental S0 < 50 µM. In contrast, the ABSOLV equation (trained with small molecules) underpredicts the solubility of big molecules in all cases tested. It was found that the errors in the ABSOLV-predicted solubilities of big molecules correlate linearly with the number of rotatable bonds, which suggests that flexibility may be an important factor in differentiating solubility of small from big molecules. Notably, most of the 31 big molecules considered have negative enthalpy of solution: these big molecules become less soluble with increasing temperature, which is compatible with ‘molecular chameleon’ behavior associated with intramolecular hydrogen bonding. The X‑ray structures of many of these molecules reveal void spaces in their crystal lattices large enough to accommodate many water molecules when such solids are in contact with aqueous media. The water sorbed into crystals suspended in aqueous solution may enhance solubility by way of intra-lattice solute-water interactions involving the numerous H‑bond acceptors in the big molecules studied. A ‘Solubility Enhancement–Big Molecules’ index was defined, which embodies many of the above findings.
url https://pub.iapchem.org/ojs/index.php/admet/article/view/794
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