Literature DB >> 16986263

Application of predictive biosimulation within pharmaceutical clinical development: examples of significance for translational medicine and clinical trial design.

A R Kansal1, J Trimmer.   

Abstract

The challenge of accurately predicting human clinical outcome based on preclinical data has led to a high failure rate of compounds in human clinical trials. A series of methods are described by which biosimulation can address these challenges and guide the design and evaluation of experimental and clinical protocols. Early compound development often proceeds on the basis of preclinical data from animal models. The systematic evaluation possible in a simulation can assist in the critical step of translating the preclinical outcomes to human physiology. Later in the process, clinical trials definitively establish a therapy's beneficial effects, as well as any adverse side effects. Biosimulation allows for the optimal design of clinical trials to ensure that key issues are addressed effectively and efficiently, and in doing so, improves the success rate of the trials.

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Year:  2005        PMID: 16986263     DOI: 10.1049/ip-syb:20050043

Source DB:  PubMed          Journal:  Syst Biol (Stevenage)        ISSN: 1741-2471


  9 in total

1.  Evaluating optimal therapy robustness by virtual expansion of a sample population, with a case study in cancer immunotherapy.

Authors:  Syndi Barish; Michael F Ochs; Eduardo D Sontag; Jana L Gevertz
Journal:  Proc Natl Acad Sci U S A       Date:  2017-07-17       Impact factor: 11.205

2.  Who will take up the gauntlet? Challenges and opportunities for systems biology and drug discovery.

Authors:  Adriano M Henney
Journal:  EMBO Rep       Date:  2009-08       Impact factor: 8.807

Review 3.  Mechanistic systems modeling to guide drug discovery and development.

Authors:  Brian J Schmidt; Jason A Papin; Cynthia J Musante
Journal:  Drug Discov Today       Date:  2012-09-19       Impact factor: 7.851

4.  The Virtual Anemia Trial: An Assessment of Model-Based In Silico Clinical Trials of Anemia Treatment Algorithms in Patients With Hemodialysis.

Authors:  Doris H Fuertinger; Alice Topping; Franz Kappel; Stephan Thijssen; Peter Kotanko
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2018-01-31

5.  Computational modelling of energy balance in individuals with Metabolic Syndrome.

Authors:  Yvonne J W Rozendaal; Yanan Wang; Peter A J Hilbers; Natal A W van Riel
Journal:  BMC Syst Biol       Date:  2019-02-26

6.  Evaluation framework for systems models.

Authors:  Sietse Braakman; Pras Pathmanathan; Helen Moore
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2022-01-10

Review 7.  Nutritional systems biology modeling: from molecular mechanisms to physiology.

Authors:  Albert A de Graaf; Andreas P Freidig; Baukje De Roos; Neema Jamshidi; Matthias Heinemann; Johan A C Rullmann; Kevin D Hall; Martin Adiels; Ben van Ommen
Journal:  PLoS Comput Biol       Date:  2009-11-26       Impact factor: 4.475

8.  Alternate virtual populations elucidate the type I interferon signature predictive of the response to rituximab in rheumatoid arthritis.

Authors:  Brian J Schmidt; Fergal P Casey; Thomas Paterson; Jason R Chan
Journal:  BMC Bioinformatics       Date:  2013-07-10       Impact factor: 3.169

9.  Best Practices to Maximize the Use and Reuse of Quantitative and Systems Pharmacology Models: Recommendations From the United Kingdom Quantitative and Systems Pharmacology Network.

Authors:  Lourdes Cucurull-Sanchez; Michael J Chappell; Vijayalakshmi Chelliah; S Y Amy Cheung; Gianne Derks; Mark Penney; Alex Phipps; Rahuman S Malik-Sheriff; Jon Timmis; Marcus J Tindall; Piet H van der Graaf; Paolo Vicini; James W T Yates
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2019-03-22
  9 in total

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