Literature DB >> 32801051

High-Throughput Screening: today's biochemical and cell-based approaches.

Vincent Blay1, Bhairavi Tolani2, Sunita P Ho3, Michelle R Arkin4.   

Abstract

High-throughput screening (HTS) provides starting chemical matter in the adventure of developing a new drug. In this review, we survey several HTS methods used today for hit identification, organized in two main flavors: biochemical and cell-based assays. Biochemical assays discussed include fluorescence polarization and anisotropy, FRET, TR-FRET, and fluorescence lifetime analysis. Binding-based methods are also surveyed, including NMR, SPR, mass spectrometry, and DSF. On the other hand, cell-based assays discussed include viability, reporter gene, second messenger, and high-throughput microscopy assays. We devote some emphasis to high-content screening, which is becoming very popular. An advisable stage after hit discovery using phenotypic screens is target deconvolution, and we provide an overview of current chemical proteomics, in silico, and chemical genetics tools. Emphasis is made on recent CRISPR/dCas-based screens. Lastly, we illustrate some of the considerations that inform the choice of HTS methods and point to some areas with potential interest for future research.
Copyright © 2020 Elsevier Ltd. All rights reserved.

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Year:  2020        PMID: 32801051     DOI: 10.1016/j.drudis.2020.07.024

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


  12 in total

1.  Multiplexed Small-Molecule-Ligand Binding Assays by Affinity Labeling and DNA Sequence Analysis.

Authors:  Bo Cai; Casey J Krusemark
Journal:  Angew Chem Int Ed Engl       Date:  2021-12-03       Impact factor: 15.336

Review 2.  DNA-Encoded Chemical Libraries: A Comprehensive Review with Succesful Stories and Future Challenges.

Authors:  Adrián Gironda-Martínez; Etienne J Donckele; Florent Samain; Dario Neri
Journal:  ACS Pharmacol Transl Sci       Date:  2021-06-14

3.  A robust high-throughput fluorescence polarization assay for rapid screening of SARS-CoV-2 papain-like protease inhibitors.

Authors:  Haohao Yan; Zhicheng Liu; Gangan Yan; Xiaoli Liu; Xiaoping Liu; Yanchang Wang; Yunyu Chen
Journal:  Virology       Date:  2022-07-16       Impact factor: 3.513

Review 4.  Evolution of Artificial Intelligence-Powered Technologies in Biomedical Research and Healthcare.

Authors:  Ernesto Diaz-Flores; Tim Meyer; Alexis Giorkallos
Journal:  Adv Biochem Eng Biotechnol       Date:  2022       Impact factor: 2.768

Review 5.  Impact of structural biologists and the Protein Data Bank on small-molecule drug discovery and development.

Authors:  Stephen K Burley
Journal:  J Biol Chem       Date:  2021-03-17       Impact factor: 5.157

Review 6.  Commercial SARS-CoV-2 Targeted, Protease Inhibitor Focused and Protein-Protein Interaction Inhibitor Focused Molecular Libraries for Virtual Screening and Drug Design.

Authors:  Sebastjan Kralj; Marko Jukič; Urban Bren
Journal:  Int J Mol Sci       Date:  2021-12-30       Impact factor: 5.923

Review 7.  Organoids in image-based phenotypic chemical screens.

Authors:  Ilya Lukonin; Marietta Zinner; Prisca Liberali
Journal:  Exp Mol Med       Date:  2021-10-18       Impact factor: 8.718

8.  Artificial Intelligent Deep Learning Molecular Generative Modeling of Scaffold-Focused and Cannabinoid CB2 Target-Specific Small-Molecule Sublibraries.

Authors:  Yuemin Bian; Xiang-Qun Xie
Journal:  Cells       Date:  2022-03-07       Impact factor: 6.600

Review 9.  Current Practice in Bicistronic IRES Reporter Use: A Systematic Review.

Authors:  Guus Gijsbertus Hubert van den Akker; Federico Zacchini; Bas Adrianus Catharina Housmans; Laura van der Vloet; Marjolein Maria Johanna Caron; Lorenzo Montanaro; Tim Johannes Maria Welting
Journal:  Int J Mol Sci       Date:  2021-05-14       Impact factor: 5.923

Review 10.  Emerging hiPSC Models for Drug Discovery in Neurodegenerative Diseases.

Authors:  Dorit Trudler; Swagata Ghatak; Stuart A Lipton
Journal:  Int J Mol Sci       Date:  2021-07-30       Impact factor: 5.923

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