Literature DB >> 27084527

Lipophilicity and biomimetic properties measured by HPLC to support drug discovery.

Klára L Valkó1.   

Abstract

HPLC methods that use chromatographic retention times for gaining information about the properties of compounds for the purpose of designing drug molecules are reviewed. Properties, such as lipophilicity, protein binding, phospholipid binding, and acid/base character can be incorporated in the design of molecules with the right biological distribution and pharmacokinetic profile to become an effective drug. Standardization of various methodologies is suggested in order to obtain data suitable for inter-laboratory comparison. The published HPLC methods for lipophilicity, acid/base character, protein and phospholipid binding are critically reviewed and compared with each other using the solvation equation approach. One of the most important discussion points is how these data can be used in models and how they can influence the drug discovery process. Therefore, the published models for volume of distribution, unbound volume of distribution and drug efficiency are also discussed. The general relationships between the chemical structure and biomimetic HPLC properties are described in view of ranking and selecting putative drug molecules.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomimetic HPLC; Drug efficiency; HSA binding; IAM binding; Lipophilicity; Volume of distribution

Mesh:

Substances:

Year:  2016        PMID: 27084527     DOI: 10.1016/j.jpba.2016.04.009

Source DB:  PubMed          Journal:  J Pharm Biomed Anal        ISSN: 0731-7085            Impact factor:   3.935


  12 in total

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Journal:  Molecules       Date:  2022-06-21       Impact factor: 4.927

2.  Quantitative Retention (Structure)-Activity Relationships in Predicting the Pharmaceutical and Toxic Properties of Potential Pesticides.

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Journal:  Molecules       Date:  2022-06-03       Impact factor: 4.927

3.  Predicting Pharmacokinetic Properties of Potential Anticancer Agents via Their Chromatographic Behavior on Different Reversed Phase Materials.

Authors:  Małgorzata Janicka; Anna Mycka; Małgorzata Sztanke; Krzysztof Sztanke
Journal:  Int J Mol Sci       Date:  2021-04-20       Impact factor: 5.923

4.  Development of a Hierarchical Support Vector Regression-Based In Silico Model for Caco-2 Permeability.

Authors:  Giang Huong Ta; Cin-Syong Jhang; Ching-Feng Weng; Max K Leong
Journal:  Pharmaceutics       Date:  2021-01-28       Impact factor: 6.321

Review 5.  NMR spectroscopy in drug discovery and development: Evaluation of physico-chemical properties.

Authors:  Mire Zloh
Journal:  ADMET DMPK       Date:  2019-12-11

6.  Biomimetic properties and estimated in vivo distribution of chloroquine and hydroxy-chloroquine enantiomers.

Authors:  Klara L Valko; Tong Zhang
Journal:  ADMET DMPK       Date:  2020-01-25

7.  Using LC Retention Times in Organic Structure Determination: Drug Metabolite Identification.

Authors:  William L Fitch; Cyrus Khojasteh; Ignacio Aliagas; Kevin Johnson
Journal:  Drug Metab Lett       Date:  2018

8.  Benzoxaboroles-Novel Autotaxin Inhibitors.

Authors:  Kristina Kraljić; Dubravko Jelić; Dinko Žiher; Adam Cvrtila; Snježana Dragojević; Verona Sinković; Milan Mesić
Journal:  Molecules       Date:  2019-09-20       Impact factor: 4.411

9.  Affinity of Antifungal Isoxazolo[3,4-b]pyridine-3(1H)-Ones to Phospholipids in Immobilized Artificial Membrane (IAM) Chromatography.

Authors:  Krzesimir Ciura; Joanna Fedorowicz; Petar Žuvela; Mario Lovrić; Hanna Kapica; Paweł Baranowski; Wiesław Sawicki; Ming Wah Wong; Jarosław Sączewski
Journal:  Molecules       Date:  2020-10-20       Impact factor: 4.411

10.  Biomimetic Chromatographic Studies Combined with the Computational Approach to Investigate the Ability of Triterpenoid Saponins of Plant Origin to Cross the Blood-Brain Barrier.

Authors:  Katarzyna Stępnik
Journal:  Int J Mol Sci       Date:  2021-03-30       Impact factor: 5.923

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