Editorial Special Issues

Interplay and multiscale modeling of complex biological systems

  • Received: 28 February 2022 Revised: 02 March 2022 Accepted: 02 March 2022 Published: 03 March 2022
  • Recently the understanding of complex biological systems has been increased considering the important interplay among different scholars coming from different applied sciences such as mathematics, physics and information sciences. As known, the modeling of a complex system requires the analysis of the different interactions occurring among the different components of the system. Moreover, the analysis of a complex system can be performed at different scales; usually the microscopic, the mesoscopic and the macroscopic scales are the most representation scales. However, a multiscale approach is required. A unified approach that takes into account the different phenomena occurring at each observation scale is the desire of this century. This editorial article deals with the topic of this special issue, which is devoted to the new developments in the multiscale modeling of complex biological systems with special attention to the interplay between different scholars.

    Citation: Carlo Bianca. Interplay and multiscale modeling of complex biological systems[J]. AIMS Biophysics, 2022, 9(1): 56-60. doi: 10.3934/biophy.2022005

    Related Papers:

  • Recently the understanding of complex biological systems has been increased considering the important interplay among different scholars coming from different applied sciences such as mathematics, physics and information sciences. As known, the modeling of a complex system requires the analysis of the different interactions occurring among the different components of the system. Moreover, the analysis of a complex system can be performed at different scales; usually the microscopic, the mesoscopic and the macroscopic scales are the most representation scales. However, a multiscale approach is required. A unified approach that takes into account the different phenomena occurring at each observation scale is the desire of this century. This editorial article deals with the topic of this special issue, which is devoted to the new developments in the multiscale modeling of complex biological systems with special attention to the interplay between different scholars.



    加载中


    [1] Bar-Yam Y (2003) Dynamics of Complex Systems.Studies in Nonlinearity, Westview Press.
    [2] Nicolis G, Nicolis C (2007) Foundations of complex systems: Nonlinear dynamics, Statistical Physics, Information and Prediction.World Scientific Publishing Co. Pte. Ltd.
    [3] Bianca C, Bellomo N (2011) Towards a Mathematical Theory of Complex Biological Systems.World Scientific Publishing Co. Pte. Ltd.
    [4] Pappalardo F, Palladini A, Pennisi M, et al. (2012) Mathematical and computational models in tumor immunology. Math Model Nat Pheno 7: 186-203.
    [5] Kroon W, Delhaas T, Arts T, et al. (2009) Computational modeling of volumetric soft tissue growth: application to the cardiac left ventricle. Biomech Model Mechan 8: 301-309.
    [6] Amar MB, Bianca C (2016) Towards a unified approach in the modeling of fibrosis: A review with research perspectives. Phys Life Rev 17: 61-85.
    [7] Kalisky T, Blainey P, Quake SR (2011) Genomic analysis at the single-cell level. Annu Rev Genet 45: 431-445.
    [8] Britton NF (2003) Essential Mathematical Biology.Springer Undergraduate Mathematics Series, Springer-Verlag London.
    [9] Hogeweg P (2011) The roots of bioinformatics in theoretical biology. PLoS Comput Biol 7: e1002021.
    [10] Hatze H (1974) The meaning of the term ‘biomechanics’. J Biomech 7: 189-190.
    [11] Chauvière A, Preziosi L, Verdier C (2010) Cell Mechanics: from Single Scale-Based Models to Multiscale Modeling. London: Chapman and Hall/CRC.
    [12] Bartlett R (2014) Introduction to Sports Biomechanics. New York: Routledge.
    [13] Glaser R Biophysics: an introduction, Springer Science & Business Media (2012).
    [14] Alarcon T, Byrne HM, Maini PK (2004) Towards whole-organ modelling of tumour growth. Prog Biophys Mol Biol 85: 451-472.
    [15] Bunyavanich S, Schadt EE (2015) Systems biology of asthma and allergic diseases: a multiscale approach. J Aller Clin Immunol 135: 31-42.
    [16] Cappuccio A, Tieri P, Castiglione F (2016) Multiscale modelling in immunology: a review. Brief Bioinform 17: 408-418.
    [17] Breakspear M, Stam CJ (2005) Dynamics of a neural system with a multiscale architecture. Philos T R Soc B 360: 1051-1074.
    [18] Comisar WA, Hsiong SX, Kong HJ, et al. (2006) Multi-scale modeling to predict ligand presentation within RGD nanopatterned hydrogels. Biomaterials 27: 2322-2329.
    [19] Gosak M, Markovič R, Dolenšek J, et al. (2018) Network science of biological systems at different scales: A review. Phys Life Rev 24: 118-135.
    [20] Van Liedekerke P, Palm MM, Jagiella N, et al. (2015) Simulating tissue mechanics with agent-based models: concepts, perspectives and some novel results. Comput Part Mech 2: 401-444.
  • Reader Comments
  • © 2022 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1220) PDF downloads(91) Cited by(0)

Article outline

Other Articles By Authors

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog