Literature DB >> 19713138

Prediction of hepatic microsomal intrinsic clearance and human clearance values for drugs.

Katarina Nikolic1, Danica Agababa.   

Abstract

Twenty-nine drugs of different structures were used in theoretical QSAR analysis of human hepatic microsomal intrinsic clearance (in vitro T(1/2) and in vitro CL'(int)) and whole body clearance (CL(blood)). The examined compounds demonstrated a wide range of scaled intrinsic clearance values. Constitutional, geometrical, physico-chemical and electronic descriptors were computed for the examined structures by use of the Marvin Sketch 5.1.3_2, the Chem3D Ultra 7.0.0 and the Dragon 5.4 program. Partial least squares regression (PLSR), has been applied for selection of the most relevant molecular descriptors and development of quantitative structure-activity relationship (QSAR) model for human hepatic microsomal intrinsic clearance (in vitro T(1/2)). Optimal QSAR models with nine and ten variables, R(2)>0.808 and cross-validation parameter q(pre)(2)>0.623, were selected and compared. Since the microsomal in vitro T(1/2) data can be used for calculation of in vitro CL'(int) and in vivo CL(blood), the developed QSAR model will enable one to analyze the kinetics of cytochrome P450-mediated reactions in term of intrinsic clearance and whole body clearance. A comparison is made between predictions produced from the QSAR analysis and experimental data, and there appears to be generally satisfactory correlations with the literature values for intrinsic clearance data.

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Year:  2009        PMID: 19713138     DOI: 10.1016/j.jmgm.2009.08.002

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  5 in total

Review 1.  Applications of human pharmacokinetic prediction in first-in-human dose estimation.

Authors:  Peng Zou; Yanke Yu; Nan Zheng; Yongsheng Yang; Hayley J Paholak; Lawrence X Yu; Duxin Sun
Journal:  AAPS J       Date:  2012-03-10       Impact factor: 4.009

2.  Designing QSARs for Parameters of High-Throughput Toxicokinetic Models Using Open-Source Descriptors.

Authors:  Daniel E Dawson; Brandall L Ingle; Katherine A Phillips; John W Nichols; John F Wambaugh; Rogelio Tornero-Velez
Journal:  Environ Sci Technol       Date:  2021-04-15       Impact factor: 9.028

3.  Scaling Drug Clearance from Adults to the Young Children for Drugs Undergoing Hepatic Metabolism: A Simulation Study to Search for the Simplest Scaling Method.

Authors:  E A M Calvier; E H J Krekels; T N Johnson; A Rostami-Hodjegan; D Tibboel; Catherijne A J Knibbe
Journal:  AAPS J       Date:  2019-03-08       Impact factor: 4.009

4.  Allometric Scaling of Clearance in Paediatric Patients: When Does the Magic of 0.75 Fade?

Authors:  Elisa A M Calvier; Elke H J Krekels; Pyry A J Välitalo; Amin Rostami-Hodjegan; Dick Tibboel; Meindert Danhof; Catherijne A J Knibbe
Journal:  Clin Pharmacokinet       Date:  2017-03       Impact factor: 6.447

5.  Design and Molecular dynamic Investigations of 7,8-Dihydroxyflavone Derivatives as Potential Neuroprotective Agents Against Alpha-synuclein.

Authors:  Thangavel Mohankumar; Vivek Chandramohan; Haralur Shankaraiah Lalithamba; Richard L Jayaraj; Poomani Kumaradhas; Magudeeswaran Sivanandam; Govindasamy Hunday; Rajendran Vijayakumar; Rangasamy Balakrishnan; Dharmar Manimaran; Namasivayam Elangovan
Journal:  Sci Rep       Date:  2020-01-17       Impact factor: 4.379

  5 in total

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