Literature DB >> 28988506

In silico ADME-Tox modeling: progress and prospects.

Saeed Alqahtani1.   

Abstract

INTRODUCTION: Although significant progress has been made in high-throughput screening of absorption, distribution, metabolism and excretion, and toxicity (ADME-Tox) properties in drug discovery and development, in silico ADME-Tox prediction continues to play an important role in facilitating the appropriate selection of candidate drugs by pharmaceutical companies prior to expensive clinical trials. Areas covered: This review provides an overview of the available in silico models that have been used to predict the ADME-Tox properties of compounds. It also provides a comprehensive overview and summarization of the latest modeling methods and algorithms available for the prediction of physicochemical characteristics, ADME properties, and drug toxicity issues. Expert opinion: The in silico models currently available have greatly contributed to the knowledge of screening approaches in the early stages of drug discovery and the development process. As the definitive goal of in silico molding is to predict the pharmacokinetics and disposition of compounds in vivo by assembling all kinetic processes within one global model, PBPK models can serve this purpose. However, much work remains to be done in this area to generate more data and input parameters to build more reliable and accurate prediction models.

Entities:  

Keywords:  Absorption; PBPK modeling; distribution; elimination; in silico modeling; metabolism; physicochemical properties

Mesh:

Substances:

Year:  2017        PMID: 28988506     DOI: 10.1080/17425255.2017.1389897

Source DB:  PubMed          Journal:  Expert Opin Drug Metab Toxicol        ISSN: 1742-5255            Impact factor:   4.481


  20 in total

1.  Generative network complex (GNC) for drug discovery.

Authors:  Christopher Grow; Kaifu Gao; Duc Duy Nguyen; Guo-Wei Wei
Journal:  Commun Inf Syst       Date:  2019

2.  Pluripotent stem cell assays: Modalities and applications for predictive developmental toxicity.

Authors:  Aldert H Piersma; Nancy C Baker; George P Daston; Burkhard Flick; Michio Fujiwara; Thomas B Knudsen; Horst Spielmann; Noriyuki Suzuki; Katya Tsaioun; Hajime Kojima
Journal:  Curr Res Toxicol       Date:  2022-05-13

3.  Therapeutic mechanism of Toujie Quwen granules in COVID-19 based on network pharmacology.

Authors:  Ying Huang; Wen-Jiang Zheng; Yong-Shi Ni; Mian-Sha Li; Jian-Kun Chen; Xiao-Hong Liu; Xing-Hua Tan; Ji-Qiang Li
Journal:  BioData Min       Date:  2020-09-24       Impact factor: 2.522

Review 4.  Novel insights into the organic solute transporter alpha/beta, OSTα/β: From the bench to the bedside.

Authors:  James J Beaudoin; Kim L R Brouwer; Melina M Malinen
Journal:  Pharmacol Ther       Date:  2020-04-02       Impact factor: 12.310

5.  Generative Network Complex for the Automated Generation of Drug-like Molecules.

Authors:  Kaifu Gao; Duc Duy Nguyen; Meihua Tu; Guo-Wei Wei
Journal:  J Chem Inf Model       Date:  2020-08-07       Impact factor: 4.956

Review 6.  The case for AI-driven cancer clinical trials - The efficacy arm in silico.

Authors:  Likhitha Kolla; Fred K Gruber; Omar Khalid; Colin Hill; Ravi B Parikh
Journal:  Biochim Biophys Acta Rev Cancer       Date:  2021-05-31       Impact factor: 11.414

7.  Identification of novel antifungal agents: antimicrobial evaluation, SAR, ADME-Tox and molecular docking studies of a series of imidazole derivatives.

Authors:  Btissam Bouchal; Farid Abrigach; Abdelilah Takfaoui; Manal Elidrissi Errahhali; Mounia Elidrissi Errahhali; Pierre H Dixneuf; Henri Doucet; Rachid Touzani; Mohammed Bellaoui
Journal:  BMC Chem       Date:  2019-08-06

8.  Meridianins and Lignarenone B as Potential GSK3β Inhibitors and Inductors of Structural Neuronal Plasticity.

Authors:  Laura Llorach-Pares; Ened Rodriguez-Urgelles; Alfons Nonell-Canals; Jordi Alberch; Conxita Avila; Melchor Sanchez-Martinez; Albert Giralt
Journal:  Biomolecules       Date:  2020-04-21

Review 9.  An Overview of Biotransformation and Toxicity of Diterpenes.

Authors:  Ingrid P de Sousa; Maria V Sousa Teixeira; Niege A Jacometti Cardoso Furtado
Journal:  Molecules       Date:  2018-06-08       Impact factor: 4.411

Review 10.  Predicting mammalian metabolism and toxicity of pesticides in silico.

Authors:  Robert D Clark
Journal:  Pest Manag Sci       Date:  2018-05-15       Impact factor: 4.845

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.