Systems Biology, Systems Medicine, Systems Pharmacology: The What and The Why

Autor: Angélique Stéphanou, Pasquale F. Innominato, Eric Fanchon, Annabelle Ballesta
Přispěvatelé: Dynamique Cellulaire et Tissulaire- Interdisciplinarité, Modèles & Microscopies (TIMC-IMAG-DyCTiM), Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525 (TIMC-IMAG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), Biologie Computationnelle et Mathématique (TIMC-IMAG-BCM), Modèles de Cellules Souches Malignes et Thérapeutiques, Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Sud - Paris 11 (UP11), University of Warwick [Coventry], Dynamiques Cellulaire et Tissulaire - Interdisciplinarité, Modélisation & Microscopie (TIMC-IMAG-DyCTiM2), Université Paris-Sud - Paris 11 (UP11)-Institut National de la Santé et de la Recherche Médicale (INSERM), Stéphanou, Angélique
Rok vydání: 2018
Předmět:
0301 basic medicine
Systems Analysis
Computer science
Systems biology
Decision Making
Drug development
Context (language use)
Models
Biological

General Biochemistry
Genetics and Molecular Biology

Translational Research
Biomedical

Big data
03 medical and health sciences
Neoplasms
Humans
General Environmental Science
Pharmacology
[SDV.BIBS] Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]
business.industry
Systems Biology
Applied Mathematics
Precision medicine
Disease Management
General Medicine
Models
Theoretical

Multi-scale approach
Personalized medicine
[SDV.BIBS]Life Sciences [q-bio]/Quantitative Methods [q-bio.QM]
Data science
3. Good health
Systems medicine
Philosophy
Philosophy of biology
030104 developmental biology
Paradigm shift
General Agricultural and Biological Sciences
business
Systems pharmacology
Zdroj: Acta Biotheoretica
Acta Biotheoretica, Springer Verlag, 2018, 66 (4), pp.345-365. ⟨10.1007/s10441-018-9330-2⟩
HAL
Acta Biotheoretica, 2018, 66 (4), pp.345-365. ⟨10.1007/s10441-018-9330-2⟩
ISSN: 1572-8358
0001-5342
DOI: 10.1007/s10441-018-9330-2
Popis: International audience; Systems biology is today such a widespread discipline that it becomes difficult to propose a clear definition of what it really is. For some, it remains restricted to the genomic field. For many, it designates the integrated approach or the corpus of computational methods employed to handle the vast amount of biological or medical data and investigate the complexity of the living. Although defining systems biology might be difficult, on the other hand its purpose is clear: systems biology, with its emerging subfields systems medicine and systems pharmacology, clearly aims at making sense of complex observations/experimental and clinical datasets to improve our understanding of diseases and their treatments without putting aside the context in which they appear and develop. In this short review, we aim to specifically focus on these new subfields with the new theoretical tools and approaches that were developed in the context of cancer. Systems pharmacology and medicine now give hope for major improvements in cancer therapy, making personalized medicine closer to reality. As we will see, the current challenge is to be able to improve the clinical practice according to the paradigm shift of systems sciences.
Databáze: OpenAIRE