Publisher Correction: A mass spectrometry-based proteome map of drug action in lung cancer cell lines

Ruprecht, Benjamin; Bernardo, Julie Di; Wang, Zhao; Mo, Xuan; Ursu, Oleg; Christopher, Matthew; Fernández, Rafael; Zheng, Li; Dill, Brian D.; Wang, Huijun; Xu, Yuting; Liaw, Andy; Mortison, Jonathan D.; Siriwardana, Nirodhini; Andresen, Brian M.; Glick, Meir; Tata, James R.; Kutilek, Victoria; Cornella-Taracido, Ivan; Chen, An

doi:10.1038/s41589-020-0643-5

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“…ProTargetMiner was a proteome signature library of 56 molecules in A549 cancer cell lines, forming a valuable tool in drug discovery [71]. Benjamin et al profiled the proteomes of five lung cancer cell lines (such as A549, Calu6 and Calu1) perturbed by more than 50 drugs based on the label-free proteomics platform [72]. Moreover, an atlas (http://bbmri.researchlumc.nl/ atlas/) of 87 drugs and 150 clinically relevant plasma-based metabolite associations will contribute to the drug development as well [73].…”

Section: New High-throughput Technology For Drug Repositioningmentioning

confidence: 99%

Gene Signature-Based Drug Repositioning

Jia¹,

Song²,

Shi³

et al. 2022

Drug Repurposing - Molecular Aspects and Therapeutic Applications

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With the advent of dynamical omics technology, especially the transcriptome and proteome, a huge amount of data related to various diseases and approved drugs are available under multi global projects or researches with their interests. These omics data and new machine learning technology largely promote the translation of drug research into clinical trials. We will cover the following topics in this chapter. 1) An introduction to the basic discipline of gene signature-based drug repurposing; 2) databases of genes, drugs and diseases; 3) gene signature databases of the approved drugs; 4) gene signature databases of various diseases; 5) gene signature-based methods and tools for drug repositioning; 6) new omics technology for drug repositioning; 7) drug repositioning examples with reproducible code. And finally, discuss the future trends and conclude.

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Section: New High-throughput Technology For Drug Repositioningmentioning

confidence: 99%