Literature DB >> 25582307

Advances in computationally modeling human oral bioavailability.

Junmei Wang1, Tingjun Hou2.   

Abstract

Although significant progress has been made in experimental high throughput screening (HTS) of ADME (absorption, distribution, metabolism, excretion) and pharmacokinetic properties, the ADME and Toxicity (ADME-Tox) in silico modeling is still indispensable in drug discovery as it can guide us to wisely select drug candidates prior to expensive ADME screenings and clinical trials. Compared to other ADME-Tox properties, human oral bioavailability (HOBA) is particularly important but extremely difficult to predict. In this paper, the advances in human oral bioavailability modeling will be reviewed. Moreover, our deep insight on how to construct more accurate and reliable HOBA QSAR and classification models will also discussed.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  ADME–Tox; Human intestinal absorption (HIA); Human oral bioavailability (HOBA); In silico modeling computer-aided drug design; QSAR

Mesh:

Year:  2015        PMID: 25582307      PMCID: PMC4490973          DOI: 10.1016/j.addr.2015.01.001

Source DB:  PubMed          Journal:  Adv Drug Deliv Rev        ISSN: 0169-409X            Impact factor:   15.470


  52 in total

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2.  The prediction of drug metabolism, tissue distribution, and bioavailability of 50 structurally diverse compounds in rat using mechanism-based absorption, distribution, and metabolism prediction tools.

Authors:  Stefan S De Buck; Vikash K Sinha; Luca A Fenu; Ron A Gilissen; Claire E Mackie; Marjoleen J Nijsen
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3.  Automatic QSAR modeling of ADME properties: blood-brain barrier penetration and aqueous solubility.

Authors:  Olga Obrezanova; Joelle M R Gola; Edmund J Champness; Matthew D Segall
Journal:  J Comput Aided Mol Des       Date:  2008-02-14       Impact factor: 3.686

4.  Development of reliable aqueous solubility models and their application in druglike analysis.

Authors:  Junmei Wang; George Krudy; Tingjun Hou; Wei Zhang; George Holland; Xiaojie Xu
Journal:  J Chem Inf Model       Date:  2007-06-15       Impact factor: 4.956

5.  Predicting human oral bioavailability of a compound: development of a novel quantitative structure-bioavailability relationship.

Authors:  C W Andrews; L Bennett; L X Yu
Journal:  Pharm Res       Date:  2000-06       Impact factor: 4.200

6.  ADME evaluation in drug discovery. 6. Can oral bioavailability in humans be effectively predicted by simple molecular property-based rules?

Authors:  Tingjun Hou; Junmei Wang; Wei Zhang; Xiaojie Xu
Journal:  J Chem Inf Model       Date:  2007 Mar-Apr       Impact factor: 4.956

7.  (3S)-N-(L-Aminoacyl)-1,2,3,4-tetrahydroisoquinolines, a class of novel antithrombotic agents: synthesis, bioassay, 3D QSAR, and ADME analysis.

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Journal:  Bioorg Med Chem       Date:  2008-09-12       Impact factor: 3.641

8.  Minimal pharmacophoric elements and fragment hopping, an approach directed at molecular diversity and isozyme selectivity. Design of selective neuronal nitric oxide synthase inhibitors.

Authors:  Haitao Ji; Benjamin Z Stanton; Jotaro Igarashi; Huiying Li; Pavel Martásek; Linda J Roman; Thomas L Poulos; Richard B Silverman
Journal:  J Am Chem Soc       Date:  2008-03-06       Impact factor: 15.419

9.  Systems biological approach of molecular descriptors connectivity: optimal descriptors for oral bioavailability prediction.

Authors:  Shiek S S J Ahmed; V Ramakrishnan
Journal:  PLoS One       Date:  2012-07-16       Impact factor: 3.240

Review 10.  The evolving role of drug metabolism in drug discovery and development.

Authors:  Lilian G Yengi; Louis Leung; John Kao
Journal:  Pharm Res       Date:  2007-03-01       Impact factor: 4.580

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2.  In Silico and In Vitro Anti-Helicobacter Pylori Effects of Combinations of Phytochemicals and Antibiotics.

Authors:  Pedro Fong; Chon-Hou Hao; Chi-Cheng Io; Pou-Io Sin; Li-Rong Meng
Journal:  Molecules       Date:  2019-10-07       Impact factor: 4.411

3.  Microflow-Based Device for In Vitro and Ex Vivo Drug Permeability Studies.

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Journal:  SLAS Technol       Date:  2020-04-30       Impact factor: 3.047

Review 4.  Artificial Intelligence in Drug Discovery: A Comprehensive Review of Data-driven and Machine Learning Approaches.

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Journal:  Biotechnol Bioprocess Eng       Date:  2021-01-07       Impact factor: 3.386

5.  A novel adaptive ensemble classification framework for ADME prediction.

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Journal:  RSC Adv       Date:  2018-03-26       Impact factor: 4.036

6.  Network Pharmacology Combined with Bioinformatics to Investigate the Mechanisms and Molecular Targets of Astragalus Radix-Panax notoginseng Herb Pair on Treating Diabetic Nephropathy.

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  6 in total

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