Literature DB >> 12963322

ADME-Tox in drug discovery: integration of experimental and computational technologies.

Hongshi Yu1, Adedayo Adedoyin.   

Abstract

Over the past ten years, in vitro experimental tools to characterize ADME-Tox profiles of compounds have been applied in early stages of the drug discovery process to increase the success rate of discovery programmes and to progress better candidates into drug development. Application of in silico ADME-Tox models has further enhanced discovery support, enabling virtual screening of compounds and thus, application of ADME-Tox at every stage of the discovery process. Ultimately, effective and efficient ADME-Tox support of discovery will depend on a complementary and synergistic use of experimental and in silico ADME-Tox.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 12963322     DOI: 10.1016/s1359-6446(03)02828-9

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  12 in total

1.  Rational selection of structurally diverse natural product scaffolds with favorable ADME properties for drug discovery.

Authors:  D S Samiulla; V V Vaidyanathan; P C Arun; G Balan; M Blaze; S Bondre; G Chandrasekhar; A Gadakh; R Kumar; G Kharvi; H O Kim; S Kumar; J A Malikayil; M Moger; M K Mone; P Nagarjuna; C Ogbu; D Pendhalkar; A V S Raja Rao; G Venkateshwar Rao; V K Sarma; S Shaik; G V R Sharma; S Singh; C Sreedhar; R Sonawane; U Timmanna; L W Hardy
Journal:  Mol Divers       Date:  2005       Impact factor: 2.943

2.  Enone- and chalcone-chloroquinoline hybrid analogues: in silico guided design, synthesis, antiplasmodial activity, in vitro metabolism, and mechanistic studies.

Authors:  Eric M Guantai; Kanyile Ncokazi; Timothy J Egan; Jiri Gut; Philip J Rosenthal; Ravi Bhampidipati; Anitha Kopinathan; Peter J Smith; Kelly Chibale
Journal:  J Med Chem       Date:  2011-05-05       Impact factor: 7.446

3.  FAF-Drugs: free ADME/tox filtering of compound collections.

Authors:  Maria A Miteva; Stephanie Violas; Matthieu Montes; David Gomez; Pierre Tuffery; Bruno O Villoutreix
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

4.  Identification of novel potential antibiotics against Staphylococcus using structure-based drug screening targeting dihydrofolate reductase.

Authors:  Maiko Kobayashi; Tomohiro Kinjo; Yuji Koseki; Christina R Bourne; William W Barrow; Shunsuke Aoki
Journal:  J Chem Inf Model       Date:  2014-04-02       Impact factor: 4.956

5.  A reliable computational workflow for the selection of optimal screening libraries.

Authors:  Yocheved Gilad; Katalin Nadassy; Hanoch Senderowitz
Journal:  J Cheminform       Date:  2015-12-11       Impact factor: 5.514

6.  Digging into Lipid Membrane Permeation for Cardiac Ion Channel Blocker d-Sotalol with All-Atom Simulations.

Authors:  Kevin R DeMarco; Slava Bekker; Colleen E Clancy; Sergei Y Noskov; Igor Vorobyov
Journal:  Front Pharmacol       Date:  2018-02-01       Impact factor: 5.810

Review 7.  QSPR studies on aqueous solubilities of drug-like compounds.

Authors:  Pablo R Duchowicz; Eduardo A Castro
Journal:  Int J Mol Sci       Date:  2009-06-03       Impact factor: 6.208

Review 8.  Antiviral Activity Exerted by Natural Products against Human Viruses.

Authors:  Maria Musarra-Pizzo; Rosamaria Pennisi; Ichrak Ben-Amor; Giuseppina Mandalari; Maria Teresa Sciortino
Journal:  Viruses       Date:  2021-05-04       Impact factor: 5.048

9.  Prediction of the permeability of neutral drugs inferred from their solvation properties.

Authors:  Edoardo Milanetti; Domenico Raimondo; Anna Tramontano
Journal:  Bioinformatics       Date:  2015-12-10       Impact factor: 6.937

10.  Targeting the SARS-CoV-2 main protease using FDA-approved Isavuconazonium, a P2-P3 α-ketoamide derivative and Pentagastrin: An in-silico drug discovery approach.

Authors:  Ikechukwu Achilonu; Emmanuel Amarachi Iwuchukwu; Okechinyere Juliet Achilonu; Manuel Antonio Fernandes; Yasien Sayed
Journal:  J Mol Graph Model       Date:  2020-09-02       Impact factor: 2.518

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.