Literature DB >> 23675936

Understanding the molecular properties and metabolism of top prescribed drugs.

Haizhen A Zhong1, Victoria Mashinson, Theodor A Woolman, Mengyi Zha.   

Abstract

Molecular properties such as the molecular weight, hydrophobicity parameter logP, and the total polar surface area (TPSA) have been used extensively in modern drug discovery. We investigated these properties and ADMET scores of the top 200 therapeutic drugs by the U.S. retail sales (2010) and classified them according to the clinical indications and/or routes of administration. This list of drugs provides ample information of these molecular descriptors for successfully approved drugs. The mean logP for oral drugs is 2.5 while the logP for injectable drugs seems to be smaller. Among different types of clinical indications, drugs used for anti-HIV, and antibiotics tend to have lower logP. The molecular weights of anti-HIV drugs, antihypertensives and antibiotics appear to be larger. The ADMET scores, derived from a combination of molecular weights and logP, are consistent for oral drugs, with a mean score of 1.5 and a standard deviation of 1.0. Many clinical drugs that violate Lipinski's rule of five criteria can still exhibit ADMET scores that are very close to the mean value for oral drugs (1.5) and lie within the acceptable standard deviation. The molecular properties of MW, logP, and TPSA appear to vary according to their clinical indications. Many drugs form salts or cocrystals with acids or solvents that increase their solubility. Our data show that addition of hydrochloride is the most common method to increase solubility of drug ingredients. Cytochrome P450 isozymes 3A4, 2D6, 2C9, 2C8 and 3C5 are the top five proteins that metabolize the 200 most prescribed drugs. Drugs metabolized by 3A4 appear to have larger molecular weights and those metabolized by 2D6 have lower molecular weights. CYP2C8-metabolized drugs appear to be most hydrophilic, with the smallest logP and the largest polar surface areas.

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Year:  2013        PMID: 23675936     DOI: 10.2174/15680266113139990034

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  6 in total

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Authors:  Giuseppe Cecere; Laura Guasch; Andres M Olivares-Morales; Kenichi Umehara; Antonia F Stepan
Journal:  ACS Med Chem Lett       Date:  2022-08-23       Impact factor: 4.632

2.  Computationally Designed Sesamol Derivatives Proposed as Potent Antioxidants.

Authors:  Laura M Castro-González; Juan Raúl Alvarez-Idaboy; Annia Galano
Journal:  ACS Omega       Date:  2020-04-13

3.  Drug-like Properties and Fraction Lipophilicity Index as a combined metric.

Authors:  Anna Tsantili-Kakoulidou; Vassilis J Demopoulos
Journal:  ADMET DMPK       Date:  2021-10-10

4.  Physiologically Based Pharmacokinetic Modeling to Describe the CYP2D6 Activity Score-Dependent Metabolism of Paroxetine, Atomoxetine and Risperidone.

Authors:  Simeon Rüdesheim; Dominik Selzer; Thomas Mürdter; Svitlana Igel; Reinhold Kerb; Matthias Schwab; Thorsten Lehr
Journal:  Pharmaceutics       Date:  2022-08-18       Impact factor: 6.525

5.  Evaluation of Clove Phytochemicals as Potential Antiviral Drug Candidates Targeting SARS-CoV-2 Main Protease: Computational Docking, Molecular Dynamics Simulation, and Pharmacokinetic Profiling.

Authors:  Arun Chandra Manivannan; Arunkumar Malaisamy; Murugesh Eswaran; Arun Meyyazhagan; Vijaya Anand Arumugam; Kannan R R Rengasamy; Balamuralikrishnan Balasubramanian; Wen-Chao Liu
Journal:  Front Mol Biosci       Date:  2022-06-28

Review 6.  Chemical and Structural Strategies to Selectively Target mTOR Kinase.

Authors:  Chiara Borsari; Martina De Pascale; Matthias P Wymann
Journal:  ChemMedChem       Date:  2021-07-01       Impact factor: 3.466

  6 in total

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