Literature DB >> 28525769

Turning the Light On in the Phenotypic Drug Discovery Black Box.

John G Moffat1.   

Abstract

In this issue, Drawnel et al. (2017) introduce the concept of a "molecular phenotype" and demonstrate how "big data" coming from gene expression profiling, combined with signaling pathway information, small-molecule chemical information, preclinical animal models, and clinical samples can empower phenotypic discovery at several critical levels.
Copyright © 2017. Published by Elsevier Ltd.

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Mesh:

Year:  2017        PMID: 28525769     DOI: 10.1016/j.chembiol.2017.05.005

Source DB:  PubMed          Journal:  Cell Chem Biol        ISSN: 2451-9448            Impact factor:   8.116


  3 in total

1.  SemaTyP: a knowledge graph based literature mining method for drug discovery.

Authors:  Shengtian Sang; Zhihao Yang; Lei Wang; Xiaoxia Liu; Hongfei Lin; Jian Wang
Journal:  BMC Bioinformatics       Date:  2018-05-30       Impact factor: 3.169

Review 2.  Dare to Compare. Development of Atherosclerotic Lesions in Human, Mouse, and Zebrafish.

Authors:  Viviana L Vedder; Zouhair Aherrahrou; Jeanette Erdmann
Journal:  Front Cardiovasc Med       Date:  2020-06-30

3.  Bispecific repurposed medicines targeting the viral and immunological arms of COVID-19.

Authors:  Martin A Redhead; C David Owen; Lennart Brewitz; Amelia H Collette; Petra Lukacik; Claire Strain-Damerell; Sean W Robinson; Patrick M Collins; Philipp Schäfer; Mark Swindells; Chris J Radoux; Iva Navratilova Hopkins; Daren Fearon; Alice Douangamath; Frank von Delft; Tika R Malla; Laura Vangeel; Thomas Vercruysse; Jan Thibaut; Pieter Leyssen; Tu-Trinh Nguyen; Mitchell Hull; Anthony Tumber; David J Hallett; Christopher J Schofield; David I Stuart; Andrew L Hopkins; Martin A Walsh
Journal:  Sci Rep       Date:  2021-06-24       Impact factor: 4.379

  3 in total

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