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Biphenylthiazole antibiotics with an oxadiazole linker: An approach to improve physicochemical properties and oral bioavailability.

ABSTRACT: A new series of oxadiazolylbiphenylthiazoles was prepared with the objective of improving the limited solubility of first-generation derivatives while maintaining antibacterial activity against drug-resistant Staphylococcus aureus. Studying the structure-activity relationship at the cationic part provided the piperazine-1-carboximidamide derivative 27 with a MIC (MRSA) value of 1.1 ?g/mL, bactericidal mode of action, and a 50-fold improvement in aqueous solubility. Additionally, 27 exhibited a wider safety margin against mammalian cells, and most importantly, a significant improvement in oral bioavailability.

SUBMITTER: Hagras M

PROVIDER: S-EPMC5736435 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature

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Biphenylthiazole antibiotics with an oxadiazole linker: An approach to improve physicochemical properties and oral bioavailability.

Hagras Mohamed M Hegazy Youssef A YA Elkabbany Amr H AH Mohammad Haroon H Ghiaty Adel A Abdelghany Tamer M TM Seleem Mohamed N MN Mayhoub Abdelrahman S AS

European journal of medicinal chemistry 20171019

A new series of oxadiazolylbiphenylthiazoles was prepared with the objective of improving the limited solubility of first-generation derivatives while maintaining antibacterial activity against drug-resistant Staphylococcus aureus. Studying the structure-activity relationship at the cationic part provided the piperazine-1-carboximidamide derivative 27 with a MIC (MRSA) value of 1.1 μg/mL, bactericidal mode of action, and a 50-fold improvement in aqueous solubility. Additionally, 27 exhibited a w ...[more]

PMID: 29126738

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Project description:Poor oral bioavailability is an important parameter accounting for the failure of the drug candidates. Approximately, 50% of developing drugs fail because of unfavorable oral bioavailability. In silico prediction of oral bioavailability (%F) based on physiochemical properties are highly needed. Although many computational models have been developed to predict oral bioavailability, their accuracy remains low with a significant number of false positives. In this study, we present an oral bioavailability model based on systems biological approach, using a machine learning algorithm coupled with an optimal discriminative set of physiochemical properties.The models were developed based on computationally derived 247 physicochemical descriptors from 2279 molecules, among which 969, 605 and 705 molecules were corresponds to oral bioavailability, intestinal absorption (HIA) and caco-2 permeability data set, respectively. The partial least squares discriminate analysis showed 49 descriptors of HIA and 50 descriptors of caco-2 are the major contributing descriptors in classifying into groups. Of these descriptors, 47 descriptors were commonly associated to HIA and caco-2, which suggests to play a vital role in classifying oral bioavailability. To determine the best machine learning algorithm, 21 classifiers were compared using a bioavailability data set of 969 molecules with 47 descriptors. Each molecule in the data set was represented by a set of 47 physiochemical properties with the functional relevance labeled as (+bioavailability/-bioavailability) to indicate good-bioavailability/poor-bioavailability molecules. The best-performing algorithm was the logistic algorithm. The correlation based feature selection (CFS) algorithm was implemented, which confirms that these 47 descriptors are the fundamental descriptors for oral bioavailability prediction.The logistic algorithm with 47 selected descriptors correctly predicted the oral bioavailability, with a predictive accuracy of more than 71%. Overall, the method captures the fundamental molecular descriptors, that can be used as an entity to facilitate prediction of oral bioavailability.

Dataset Information

Biphenylthiazole antibiotics with an oxadiazole linker: An approach to improve physicochemical properties and oral bioavailability.

Publications

Biphenylthiazole antibiotics with an oxadiazole linker: An approach to improve physicochemical properties and oral bioavailability.

Similar Datasets

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