Literature DB >> 12581712

Advancing drug discovery through systems biology.

EugeneJ Davidov1, JoanneM Holland, EdwardW Marple, Stephen Naylor.   

Abstract

Pharmaceutical companies are facing an urgent need to both increase their lead compound and clinical candidate portfolios and satisfy market demands for continued innovation and revenue growth. Here, we outline an emerging approach that attempts to facilitate and alleviate many of the current drug discovery issues and problems. This is, in part, achieved through the systematic integration of technologies, which results in a superior output of data and information, thereby enhancing our understanding of biological function, chemico-biological interactions and, ultimately, drug discovery. Systems biology is one new discipline that is positioned to significantly impact this process.

Mesh:

Year:  2003        PMID: 12581712     DOI: 10.1016/s1359-6446(03)02600-x

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


  16 in total

Review 1.  Computer-aided drug discovery and development (CADDD): in silico-chemico-biological approach.

Authors:  I M Kapetanovic
Journal:  Chem Biol Interact       Date:  2006-12-16       Impact factor: 5.192

2.  Anatomy of data integration.

Authors:  Olga Brazhnik; John F Jones
Journal:  J Biomed Inform       Date:  2006-09-24       Impact factor: 6.317

Review 3.  Mechanisms of drug combinations: interaction and network perspectives.

Authors:  Jia Jia; Feng Zhu; Xiaohua Ma; Zhiwei Cao; Zhiwei W Cao; Yixue Li; Yixue X Li; Yu Zong Chen
Journal:  Nat Rev Drug Discov       Date:  2009-02       Impact factor: 84.694

4.  Development of an ischemic tolerance model in a PC12 cell line.

Authors:  Joëlle A Hillion; Kenzo Takahashi; Dragan Maric; Christl Ruetzler; Jeffery L Barker; John M Hallenbeck
Journal:  J Cereb Blood Flow Metab       Date:  2005-02       Impact factor: 6.200

5.  Computational Methods for Structure-Based Drug Design Through System Biology.

Authors:  Aman Chandra Kaushik; Shakti Sahi; Dong-Qing Wei
Journal:  Methods Mol Biol       Date:  2022

Review 6.  Metabolomics Community in Russia: History of Development, Key Participants, and Results.

Authors:  Elena E Balashova; Dmitry L Maslov; Oxana P Trifonova
Journal:  BioTech (Basel)       Date:  2020-10-25

7.  Improved prediction of prostate cancer recurrence through systems pathology.

Authors:  Carlos Cordon-Cardo; Angeliki Kotsianti; David A Verbel; Mikhail Teverovskiy; Paola Capodieci; Stefan Hamann; Yusuf Jeffers; Mark Clayton; Faysal Elkhettabi; Faisal M Khan; Marina Sapir; Valentina Bayer-Zubek; Yevgen Vengrenyuk; Stephen Fogarsi; Olivier Saidi; Victor E Reuter; Howard I Scher; Michael W Kattan; Fernando J Bianco; Thomas M Wheeler; Gustavo E Ayala; Peter T Scardino; Michael J Donovan
Journal:  J Clin Invest       Date:  2007-07       Impact factor: 14.808

8.  Application of Top-Down and Bottom-up Systems Approaches in Ruminant Physiology and Metabolism.

Authors:  Khuram Shahzad; Juan J Loor
Journal:  Curr Genomics       Date:  2012-08       Impact factor: 2.236

9.  Assessing the efficacy of molecularly targeted agents on cell line-based platforms by using system identification.

Authors:  Xiangfang Li; Lijun Qian; Jianping Hua; Michael L Bittner; Edward R Dougherty
Journal:  BMC Genomics       Date:  2012-10-26       Impact factor: 3.969

10.  Identification of in vitro and in vivo disconnects using transcriptomic data.

Authors:  Martin Otava; Ziv Shkedy; Willem Talloen; Geert R Verheyen; Adetayo Kasim
Journal:  BMC Genomics       Date:  2015-08-18       Impact factor: 3.969

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