Literature DB >> 23598453

Systems pharmacology for drug discovery and development: paradigm shift or flash in the pan?

P Vicini1, P H van der Graaf.   

Abstract

Systems pharmacology is an emerging approach that sets out to use quantitative concepts rooted in the synergy between modeling and simulation on one hand and large-scale data collection and analysis on the other to investigate biological systems and design therapeutic interventions. Interest in this field has recently increased substantially, but so have perceived challenges and misunderstandings, especially related to implementation. This Commentary explores the opportunities and challenges in the rapidly evolving area of systems pharmacology from a drug discovery and development perspective.

Mesh:

Year:  2013        PMID: 23598453     DOI: 10.1038/clpt.2013.40

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  43 in total

Review 1.  Network-based approaches in drug discovery and early development.

Authors:  J M Harrold; M Ramanathan; D E Mager
Journal:  Clin Pharmacol Ther       Date:  2013-09-11       Impact factor: 6.875

2.  Quantitative and Systems Pharmacology. 1. In Silico Prediction of Drug-Target Interactions of Natural Products Enables New Targeted Cancer Therapy.

Authors:  Jiansong Fang; Zengrui Wu; Chuipu Cai; Qi Wang; Yun Tang; Feixiong Cheng
Journal:  J Chem Inf Model       Date:  2017-10-13       Impact factor: 4.956

Review 3.  Pharmacologic considerations in use and development of antituberculosis drugs.

Authors:  Geraint Davies
Journal:  Cold Spring Harb Perspect Med       Date:  2014-09-18       Impact factor: 6.915

4.  Why Drugs Fail in Late Stages of Development: Case Study Analyses from the Last Decade and Recommendations.

Authors:  Dolly A Parasrampuria; Leslie Z Benet; Amarnath Sharma
Journal:  AAPS J       Date:  2018-03-13       Impact factor: 4.009

5.  On the analysis of complex biological supply chains: From Process Systems Engineering to Quantitative Systems Pharmacology.

Authors:  Rohit T Rao; Megerle L Scherholz; Clara Hartmanshenn; Seul-A Bae; Ioannis P Androulakis
Journal:  Comput Chem Eng       Date:  2017-06-03       Impact factor: 3.845

6.  Quantitative and systems pharmacology 4. Network-based analysis of drug pleiotropy on coronary artery disease.

Authors:  Jiansong Fang; Chuipu Cai; Yanting Chai; Jingwei Zhou; Yujie Huang; Li Gao; Qi Wang; Feixiong Cheng
Journal:  Eur J Med Chem       Date:  2018-10-15       Impact factor: 6.514

7.  Good Practices in Model-Informed Drug Discovery and Development: Practice, Application, and Documentation.

Authors:  S F Marshall; R Burghaus; V Cosson; S Y A Cheung; M Chenel; O DellaPasqua; N Frey; B Hamrén; L Harnisch; F Ivanow; T Kerbusch; J Lippert; P A Milligan; S Rohou; A Staab; J L Steimer; C Tornøe; S A G Visser
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-03-14

8.  In silico model-based inference: an emerging approach for inverse problems in engineering better medicines.

Authors:  David J Klinke; Marc R Birtwistle
Journal:  Curr Opin Chem Eng       Date:  2015-11-01       Impact factor: 5.163

Review 9.  Multiscale Modeling in the Clinic: Drug Design and Development.

Authors:  Colleen E Clancy; Gary An; William R Cannon; Yaling Liu; Elebeoba E May; Peter Ortoleva; Aleksander S Popel; James P Sluka; Jing Su; Paolo Vicini; Xiaobo Zhou; David M Eckmann
Journal:  Ann Biomed Eng       Date:  2016-02-17       Impact factor: 3.934

Review 10.  Cardiovascular disease models: A game changing paradigm in drug discovery and screening.

Authors:  Houman Savoji; Mohammad Hossein Mohammadi; Naimeh Rafatian; Masood Khaksar Toroghi; Erika Yan Wang; Yimu Zhao; Anastasia Korolj; Samad Ahadian; Milica Radisic
Journal:  Biomaterials       Date:  2018-10-01       Impact factor: 12.479

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