Literature DB >> 16713900

Chemoproteomics-driven drug discovery: addressing high attrition rates.

Steven E Hall1.   

Abstract

The advent of multiple high-throughput technologies has brought drug discovery round almost full circle, from pharmacological testing of compounds in vivo to engineered molecular target assays and back to integrated phenotypic screens in cells and organisms. In the past, primary screens to identify new pharmacological agents involved administering compounds to an animal and monitoring a pharmacologic endpoint. For example, antihypertensive agents were identified by dosing spontaneously hypertensive rats with compounds and observing whether their blood pressure dropped. In taking this phenomenological approach, scientists were focused on the final goal, in this example lowering of blood pressure, rather than developing an understanding of the target, or targets, the compounds were impacting. With the evolution of rational target-based approaches, scientists were able to study the direct interaction of compounds with their intended targets, expecting that this would lead to more-selective and safer therapeutics. With the industrialization of screening, referred to as HTS, hundreds of thousands of compounds were screened in robot-driven assays against targets of interest (with this goal in mind). However, an unintentional outcome of the migration from in vivo primary screens to highly target-specific HTS assays was a reduction in biological context caused by the separation of the target from other cellular proteins and processes that might impact its function. Recognition of the potential consequences of this over-simplification drove the modification of HTS processes and equipment to be compatible with cellular assays.

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Year:  2006        PMID: 16713900     DOI: 10.1016/j.drudis.2006.04.014

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


  6 in total

1.  Fragment-based lead discovery: challenges and opportunities.

Authors:  Chaohong Sun; Andrew M Petros; Philip J Hajduk
Journal:  J Comput Aided Mol Des       Date:  2011-07-06       Impact factor: 3.686

Review 2.  The discovery of first-in-class drugs: origins and evolution.

Authors:  Jörg Eder; Richard Sedrani; Christian Wiesmann
Journal:  Nat Rev Drug Discov       Date:  2014-07-18       Impact factor: 84.694

Review 3.  Systemic QSAR and phenotypic virtual screening: chasing butterflies in drug discovery.

Authors:  Maykel Cruz-Monteagudo; Stephan Schürer; Eduardo Tejera; Yunierkis Pérez-Castillo; José L Medina-Franco; Aminael Sánchez-Rodríguez; Fernanda Borges
Journal:  Drug Discov Today       Date:  2017-03-06       Impact factor: 7.851

4.  A Fluorescence-based Lymphocyte Assay Suitable for High-throughput Screening of Small Molecules.

Authors:  Ahmed Fouda; Mahasti Tahsini; Fatemeh Khodayarian; Fatimah Al-Nafisah; Moutih Rafei
Journal:  J Vis Exp       Date:  2017-03-10       Impact factor: 1.355

5.  Identifying drug effects via pathway alterations using an integer linear programming optimization formulation on phosphoproteomic data.

Authors:  Alexander Mitsos; Ioannis N Melas; Paraskeuas Siminelakis; Aikaterini D Chairakaki; Julio Saez-Rodriguez; Leonidas G Alexopoulos
Journal:  PLoS Comput Biol       Date:  2009-12-04       Impact factor: 4.475

6.  A Functional Proteomics Perspective of DBC1 as a Regulator of Transcription.

Authors:  P Joshi; O L Quach; S S B Giguere; I M Cristea
Journal:  J Proteomics Bioinform       Date:  2013-04-18
  6 in total

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