Literature DB >> 20520608

Multiscale modeling in drug discovery and development: future opportunities and present challenges.

P Vicini1.   

Abstract

Modeling and simulation (M&S) is a diverse discipline that uses tools from mathematics, statistics, and computer science to arrive at quantitative predictions. Its application to biological systems has a checkered history with respect to success and failure. The instances of failure may reflect the heterogeneity of M&S approaches. In order to ensure a successful outcome, M&S must be fit for purpose and responsive; connecting with biological concepts is critical; sharing of results has to be done properly; buy-in is achieved in stages. These concepts are being applied in drug discovery and development and are yielding success. However, bottlenecks remain.

Entities:  

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Year:  2010        PMID: 20520608     DOI: 10.1038/clpt.2010.87

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


  13 in total

1.  In vivo-in vitro-in silico pharmacokinetic modelling in drug development: current status and future directions.

Authors:  Olavi Pelkonen; Miia Turpeinen; Hannu Raunio
Journal:  Clin Pharmacokinet       Date:  2011-08       Impact factor: 6.447

2.  Advancing pharmacometrics and systems pharmacology.

Authors:  S A Waldman; A Terzic
Journal:  Clin Pharmacol Ther       Date:  2012-11       Impact factor: 6.875

Review 3.  Cardiac models in drug discovery and development: a review.

Authors:  Robert K Amanfu; Jeffrey J Saucerman
Journal:  Crit Rev Biomed Eng       Date:  2011

4.  Beyond genetics in personalized cancer treatment: assessing dynamics and heterogeneity of tumor responses.

Authors:  Darren R Tyson; Vito Quaranta
Journal:  Per Med       Date:  2013-05-01       Impact factor: 2.512

5.  Investigating receptor enzyme activity using time-scale analysis.

Authors:  Tao You; Hong Yue
Journal:  IET Syst Biol       Date:  2015-12       Impact factor: 1.615

6.  CPT: Pharmacometrics and Systems Pharmacology.

Authors:  Piet H van der Graaf
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2012-09-26

7.  Querying quantitative logic models (Q2LM) to study intracellular signaling networks and cell-cytokine interactions.

Authors:  Melody K Morris; Zachary Shriver; Ram Sasisekharan; Douglas A Lauffenburger
Journal:  Biotechnol J       Date:  2012-01-10       Impact factor: 4.677

8.  Multiscale Modeling of Drug-induced Effects of ReDuNing Injection on Human Disease: From Drug Molecules to Clinical Symptoms of Disease.

Authors:  Fang Luo; Jiangyong Gu; Xinzhuang Zhang; Lirong Chen; Liang Cao; Na Li; Zhenzhong Wang; Wei Xiao; Xiaojie Xu
Journal:  Sci Rep       Date:  2015-05-14       Impact factor: 4.379

9.  The development of a fully-integrated immune response model (FIRM) simulator of the immune response through integration of multiple subset models.

Authors:  Sirus Palsson; Timothy P Hickling; Erica L Bradshaw-Pierce; Michael Zager; Karin Jooss; Peter J O'Brien; Mary E Spilker; Bernhard O Palsson; Paolo Vicini
Journal:  BMC Syst Biol       Date:  2013-09-28

Review 10.  Agent-based modeling: a systematic assessment of use cases and requirements for enhancing pharmaceutical research and development productivity.

Authors:  C Anthony Hunt; Ryan C Kennedy; Sean H J Kim; Glen E P Ropella
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2013-06-04
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