<i>In</i> <i>silico</i> models to predict tubular secretion or reabsorption clearance pathway using physicochemical properties and structural characteristics-Reference-Cited by-同舟云学术

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In silico models to predict tubular secretion or reabsorption clearance pathway using physicochemical properties and structural characteristics

Published:2022-04-03 Issue:4 Volume:52 Page:346-352
ISSN:0049-8254
Container-title:Xenobiotica
language:en
Short-container-title:Xenobiotica

Author:

Kaboudi Navid¹,Alizadeh Ali Akbar²,Shayanfar Ali³⁴

Affiliation:

1. Student Research Committee, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran

2. Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran

3. Pharmaceutical Analysis Research Center, Tabriz University of Medical Sciences, Tabriz, Iran

4. Editorial Office of Pharmaceutical Sciences Journal, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran

Funder

Tabriz University of Medical Sciences Tabriz

Publisher

Informa UK Limited

Subject

Health, Toxicology and Mutagenesis,Pharmacology,Toxicology,Biochemistry,General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1080/00498254.2022.2076632

Reference22 articles.

1. In Silico Prediction of Human Renal Clearance of Compounds Using Quantitative Structure-Pharmacokinetic Relationship Models

2. QSAR Modeling: Where Have You Been? Where Are You Going To?

3. VolSurf: a new tool for the pharmacokinetic optimization of lead compounds

4. How not to develop a quantitative structure–activity or structure–property relationship (QSAR/QSPR)

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1. Prediction of the First-Pass Metabolism of a Drug After Oral Intake Based on Structural Parameters and Physicochemical Properties;European Journal of Drug Metabolism and Pharmacokinetics;2024-05-11

2. Solubilization of drugs using beta-cyclodextrin: Experimental data and modeling;Annales Pharmaceutiques Françaises;2024-02

3. QSAR Analysis and Molecular Docking Studies of Aryl Sulfonamide Derivatives as Mcl-1 Inhibitors and the Influence of Structure and Chirality on the Inhibitory Activity;Letters in Drug Design & Discovery;2024-01-30

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