Literature DB >> 15733209

In silico predictions of drug solubility and permeability: two rate-limiting barriers to oral drug absorption.

Christel A S Bergström1.   

Abstract

Aqueous drug solubility and intestinal drug permeability are two of the most important factors influencing drug absorption. If the developability of a drug is to be included in the lead optimization, new experimental and computational models of solubility and permeability are needed. These models must have the capacity to handle a large amount of data. Nowadays, epithelial cell culture models such as Caco-2 are routinely used to assess intestinal drug permeability and transport in drug discovery settings. The permeability values obtained from the Caco-2 cell monolayers have been traditionally used to devise in silico models for the prediction of drug absorption. In this paper, the use of molecular surface areas as descriptors of permeability and solubility will be reviewed. Moreover, a virtual filter for the prediction of oral drug developability based on the successful combination of in vitro and in silico models of drug permeability and aqueous drug solubility will be discussed.

Mesh:

Year:  2005        PMID: 15733209     DOI: 10.1111/j.1742-7843.2005.pto960303.x

Source DB:  PubMed          Journal:  Basic Clin Pharmacol Toxicol        ISSN: 1742-7835            Impact factor:   4.080


  14 in total

Review 1.  Recent progress in the computational prediction of aqueous solubility and absorption.

Authors:  Stephen R Johnson; Weifan Zheng
Journal:  AAPS J       Date:  2006-02-03       Impact factor: 4.009

2.  Quantitation of drug content in a low dosage formulation by transmission near infrared spectroscopy.

Authors:  Carlos Peroza Meza; María A Santos; Rodolfo J Romañach
Journal:  AAPS PharmSciTech       Date:  2006-03-24       Impact factor: 3.246

Review 3.  Drug metabolism and pharmacokinetics, the blood-brain barrier, and central nervous system drug discovery.

Authors:  Mohammad S Alavijeh; Mansoor Chishty; M Zeeshan Qaiser; Alan M Palmer
Journal:  NeuroRx       Date:  2005-10

Review 4.  Predicting drug disposition, absorption/elimination/transporter interplay and the role of food on drug absorption.

Authors:  Joseph M Custodio; Chi-Yuan Wu; Leslie Z Benet
Journal:  Adv Drug Deliv Rev       Date:  2007-11-28       Impact factor: 15.470

Review 5.  Modeling kinetics of subcellular disposition of chemicals.

Authors:  Stefan Balaz
Journal:  Chem Rev       Date:  2009-05       Impact factor: 60.622

6.  Computational models to assign biopharmaceutics drug disposition classification from molecular structure.

Authors:  Akash Khandelwal; Praveen M Bahadduri; Cheng Chang; James E Polli; Peter W Swaan; Sean Ekins
Journal:  Pharm Res       Date:  2007-09-11       Impact factor: 4.200

7.  Chemoinformatic expedition of the chemical space of fungal products.

Authors:  Mariana González-Medina; Fernando D Prieto-Martínez; J Jesús Naveja; Oscar Méndez-Lucio; Tamam El-Elimat; Cedric J Pearce; Nicholas H Oberlies; Mario Figueroa; José L Medina-Franco
Journal:  Future Med Chem       Date:  2016-08-03       Impact factor: 3.808

Review 8.  Predicting pharmacokinetics of drugs using physiologically based modeling--application to food effects.

Authors:  N Parrott; V Lukacova; G Fraczkiewicz; M B Bolger
Journal:  AAPS J       Date:  2009-01-29       Impact factor: 4.009

9.  ToxiM: A Toxicity Prediction Tool for Small Molecules Developed Using Machine Learning and Chemoinformatics Approaches.

Authors:  Ashok K Sharma; Gopal N Srivastava; Ankita Roy; Vineet K Sharma
Journal:  Front Pharmacol       Date:  2017-11-30       Impact factor: 5.810

10.  Forced Degradation Studies of Ivabradine and In Silico Toxicology Predictions for Its New Designated Impurities.

Authors:  Piotr Pikul; Marzena Jamrógiewicz; Joanna Nowakowska; Weronika Hewelt-Belka; Krzesimir Ciura
Journal:  Front Pharmacol       Date:  2016-05-04       Impact factor: 5.810

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