Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery-Reference-Cited by-同舟云学术

Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery

Published:2018-05 Issue:5 Volume:25 Page:611-618.e3
ISSN:2451-9456
Container-title:Cell Chemical Biology
language:en
Short-container-title:Cell Chemical Biology

Author:

Simm Jaak,Klambauer Günter,Arany Adam,Steijaert Marvin,Wegner Jörg Kurt,Gustin Emmanuel,Chupakhin Vladimir,Chong Yolanda T.,Vialard Jorge,Buijnsters Peter,Velter Ingrid,Vapirev Alexander,Singh Shantanu,Carpenter Anne E.,Wuyts Roel,Hochreiter Sepp,Moreau Yves,Ceulemans Hugo

Funder

ChemBioBridge

ExaScience Life Pharma

Flanders Innovation and Entrepreneurship agency

Research Council, KU Leuven

NIH

Publisher

Elsevier BV

Subject

Clinical Biochemistry,Drug Discovery,Pharmacology,Molecular Biology,Molecular Medicine,Biochemistry

Reference29 articles.

1. Screening compounds with a novel high-throughput ABCB1-mediated efflux assay identifies drugs with known therapeutic targets at risk for multidrug resistance interference;Ansbro;PLoS One,2013

2. New substructure filters for removal of pan assay interference compounds (PAINS) from screening libraries and for their exclusion in bioassays;Baell;J. Med. Chem.,2010

3. Reliable estimation of prediction errors for QSAR models under model uncertainty using double cross-validation;Baumann;J. Cheminformatics,2014

4. Random forests;Breiman;Mach. Learn.,2001

5. Applications in image-based profiling of perturbations;Caicedo;Curr. Opin. Biotechnol.,2016

Cited by 177 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Systematic data analysis pipeline for quantitative morphological cell phenotyping;Computational and Structural Biotechnology Journal;2024-12

2. Deep learning large-scale drug discovery and repurposing;Nature Computational Science;2024-08-21

3. Unleashing the potential of cell painting assays for compound activities and hazards prediction;Frontiers in Toxicology;2024-07-17

4. Morphological profiling for drug discovery in the era of deep learning;Briefings in Bioinformatics;2024-05-23

5. A Decade in a Systematic Review: The Evolution and Impact of Cell Painting;2024-05-07