Literature DB >> 11944818

Application of high-throughput, molecular-targeted screening to anticancer drug discovery.

Robert H Shoemaker1, Dominic A Scudiero, Giovanni Melillo, Michael J Currens, Anne P Monks, Alfred A Rabow, David G Covell, Edward A Sausville.   

Abstract

Increasing insight into the genetics and molecular biology of cancer has resulted in the identification of an increasing number of potential molecular targets for anti-cancer drug discovery and development. These targets can be approached through exploitation of emerging structural biology, "rational" drug design, screening of chemical libraries, or a combination of these methods. In this article we discuss the application of high-throughput screening to anti-cancer drug discovery, with special reference to approaches used at the U.S. National Cancer Institute.

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Year:  2002        PMID: 11944818     DOI: 10.2174/1568026023394317

Source DB:  PubMed          Journal:  Curr Top Med Chem        ISSN: 1568-0266            Impact factor:   3.295


  21 in total

1.  A small-molecule inhibitor of MDMX activates p53 and induces apoptosis.

Authors:  Hongbo Wang; Xujun Ma; Shumei Ren; John K Buolamwini; Chunhong Yan
Journal:  Mol Cancer Ther       Date:  2010-11-12       Impact factor: 6.261

2.  Identification of polymerase and processivity inhibitors of vaccinia DNA synthesis using a stepwise screening approach.

Authors:  Janice Elaine Y Silverman; Mihai Ciustea; Abigail M Druck Shudofsky; Florent Bender; Robert H Shoemaker; Robert P Ricciardi
Journal:  Antiviral Res       Date:  2008-06-20       Impact factor: 5.970

3.  The importance of molecular complexity in the design of screening libraries.

Authors:  Shahul H Nilar; Ngai Ling Ma; Thomas H Keller
Journal:  J Comput Aided Mol Des       Date:  2013-09       Impact factor: 3.686

Review 4.  Drugging the undruggable: transcription therapy for cancer.

Authors:  Chunhong Yan; Paul J Higgins
Journal:  Biochim Biophys Acta       Date:  2012-11-09

Review 5.  Discovery of cationic polymers for non-viral gene delivery using combinatorial approaches.

Authors:  Sutapa Barua; James Ramos; Thrimoorthy Potta; David Taylor; Huang-Chiao Huang; Gabriela Montanez; Kaushal Rege
Journal:  Comb Chem High Throughput Screen       Date:  2011-12       Impact factor: 1.339

6.  Data mining of NCI's anticancer screening database reveals mitochondrial complex I inhibitors cytotoxic to leukemia cell lines.

Authors:  Constance J Glover; Alfred A Rabow; Yasemin G Isgor; Robert H Shoemaker; David G Covell
Journal:  Biochem Pharmacol       Date:  2006-10-13       Impact factor: 5.858

7.  High-throughput screening for human lysosomal beta-N-Acetyl hexosaminidase inhibitors acting as pharmacological chaperones.

Authors:  Michael B Tropak; Jan E Blanchard; Stephen G Withers; Eric D Brown; Don Mahuran
Journal:  Chem Biol       Date:  2007-02

8.  A rational approach to personalized anticancer therapy: chemoinformatic analysis reveals mechanistic gene-drug associations.

Authors:  Kerby Shedden; Leroy B Townsend; John C Drach; Gustavo R Rosania
Journal:  Pharm Res       Date:  2003-06       Impact factor: 4.200

9.  Characterization of biomolecular nanoconjugates by high-throughput delivery and spectroscopic difference.

Authors:  Robert K Delong; Azure Risor; Masaaki Kanomata; Amanda Laymon; Brooke Jones; Scott D Zimmerman; Joseph Williams; Colette Witkowski; Mathew Warner; Michael Ruff; Richard Garrad; John K Fallon; Anthony J Hickey; Reza Sedaghat-Herati
Journal:  Nanomedicine (Lond)       Date:  2012-09-03       Impact factor: 5.307

10.  Anti-inflammatory activity of a novel family of aryl ureas compounds in an endotoxin-induced airway epithelial cell injury model.

Authors:  Nuria E Cabrera-Benitez; Eduardo Pérez-Roth; Milena Casula; Angela Ramos-Nuez; Carla Ríos-Luci; Carlos Rodríguez-Gallego; Ithaisa Sologuren; Virginija Jakubkiene; Arthur S Slutsky; José M Padrón; Jesús Villar
Journal:  PLoS One       Date:  2012-11-08       Impact factor: 3.240

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