IDEAS home Printed from https://ideas.repec.org/a/taf/gcmbxx/v11y2008i6p595-607.html
   My bibliography  Save this article

Nanomechanical strength mechanisms of hierarchical biological materials and tissues

Author

Listed:
  • Markus J. Buehler
  • Theodor Ackbarow

Abstract

Biological protein materials (BPMs), intriguing hierarchical structures formed by assembly of chemical building blocks, are crucial for critical functions of life. The structural details of BPMs are fascinating: They represent a combination of universally found motifs such as α-helices or β-sheets with highly adapted protein structures such as cytoskeletal networks or spider silk nanocomposites. BPMs combine properties like strength and robustness, self-healing ability, adaptability, changeability, evolvability and others into multi-functional materials at a level unmatched in synthetic materials. The ability to achieve these properties depends critically on the particular traits of these materials, first and foremost their hierarchical architecture and seamless integration of material and structure, from nano to macro. Here, we provide a brief review of this field and outline new research directions, along with a review of recent research results in the development of structure–property relationships of biological protein materials exemplified in a study of vimentin intermediate filaments.

Suggested Citation

  • Markus J. Buehler & Theodor Ackbarow, 2008. "Nanomechanical strength mechanisms of hierarchical biological materials and tissues," Computer Methods in Biomechanics and Biomedical Engineering, Taylor & Francis Journals, vol. 11(6), pages 595-607.
    • Handle: RePEc:taf:gcmbxx:v:11:y:2008:i:6:p:595-607
    DOI: 10.1080/10255840802078030
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10255840802078030
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/10255840802078030?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hiroaki Kitano, 2002. "Computational systems biology," Nature, Nature, vol. 420(6912), pages 206-210, November.
    2. Robert Langer & David A. Tirrell, 2004. "Designing materials for biology and medicine," Nature, Nature, vol. 428(6982), pages 487-492, April.
    3. Bettye L. Smith & Tilman E. Schäffer & Mario Viani & James B. Thompson & Neil A. Frederick & Johannes Kindt & Angela Belcher & Galen D. Stucky & Daniel E. Morse & Paul K. Hansma, 1999. "Molecular mechanistic origin of the toughness of natural adhesives, fibres and composites," Nature, Nature, vol. 399(6738), pages 761-763, June.
    4. John Doyle & Marie Csete, 2007. "Rules of engagement," Nature, Nature, vol. 446(7138), pages 860-860, April.
    5. Peter Fraser & Wendy Bickmore, 2007. "Nuclear organization of the genome and the potential for gene regulation," Nature, Nature, vol. 447(7143), pages 413-417, May.
    6. Sidney Yip, 1998. "The strongest size," Nature, Nature, vol. 391(6667), pages 532-533, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chandra, Yanto & Wilkinson, Ian F., 2017. "Firm internationalization from a network-centric complex-systems perspective," Journal of World Business, Elsevier, vol. 52(5), pages 691-701.
    2. Pasquale Emanuele Scopelliti & Antonio Borgonovo & Marco Indrieri & Luca Giorgetti & Gero Bongiorno & Roberta Carbone & Alessandro Podestà & Paolo Milani, 2010. "The Effect of Surface Nanometre-Scale Morphology on Protein Adsorption," PLOS ONE, Public Library of Science, vol. 5(7), pages 1-9, July.
    3. Mika Gustafsson & Michael Hörnquist, 2010. "Gene Expression Prediction by Soft Integration and the Elastic Net—Best Performance of the DREAM3 Gene Expression Challenge," PLOS ONE, Public Library of Science, vol. 5(2), pages 1-8, February.
    4. Sawako Yamashiro & David M. Rutkowski & Kelli Ann Lynch & Ying Liu & Dimitrios Vavylonis & Naoki Watanabe, 2023. "Force transmission by retrograde actin flow-induced dynamic molecular stretching of Talin," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    5. Niki Vermeulen, 2018. "The choreography of a new research field: Aggregation, circulation and oscillation," Environment and Planning A, , vol. 50(8), pages 1764-1784, November.
    6. Armaghan W Naik & Joshua D Kangas & Christopher J Langmead & Robert F Murphy, 2013. "Efficient Modeling and Active Learning Discovery of Biological Responses," PLOS ONE, Public Library of Science, vol. 8(12), pages 1-1, December.
    7. Joep P J Schmitz & Jeroen A L Jeneson & Joep W M van Oorschot & Jeanine J Prompers & Klaas Nicolay & Peter A J Hilbers & Natal A W van Riel, 2012. "Prediction of Muscle Energy States at Low Metabolic Rates Requires Feedback Control of Mitochondrial Respiratory Chain Activity by Inorganic Phosphate," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-14, March.
    8. Marco S Nobile & Paolo Cazzaniga & Daniela Besozzi & Dario Pescini & Giancarlo Mauri, 2014. "cuTauLeaping: A GPU-Powered Tau-Leaping Stochastic Simulator for Massive Parallel Analyses of Biological Systems," PLOS ONE, Public Library of Science, vol. 9(3), pages 1-20, March.
    9. Fabian Fröhlich & Barbara Kaltenbacher & Fabian J Theis & Jan Hasenauer, 2017. "Scalable Parameter Estimation for Genome-Scale Biochemical Reaction Networks," PLOS Computational Biology, Public Library of Science, vol. 13(1), pages 1-18, January.
    10. Luca Cardelli & Rosa D Hernansaiz-Ballesteros & Neil Dalchau & Attila Csikász-Nagy, 2017. "Efficient Switches in Biology and Computer Science," PLOS Computational Biology, Public Library of Science, vol. 13(1), pages 1-16, January.
    11. Yohei Murakami, 2014. "Bayesian Parameter Inference and Model Selection by Population Annealing in Systems Biology," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-15, August.
    12. Bin Xue & Zoobia Bashir & Yachong Guo & Wenting Yu & Wenxu Sun & Yiran Li & Yiyang Zhang & Meng Qin & Wei Wang & Yi Cao, 2023. "Strong, tough, rapid-recovery, and fatigue-resistant hydrogels made of picot peptide fibres," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    13. Joshua Russell-Buckland & Christopher P Barnes & Ilias Tachtsidis, 2019. "A Bayesian framework for the analysis of systems biology models of the brain," PLOS Computational Biology, Public Library of Science, vol. 15(4), pages 1-29, April.
    14. Wenpin Hou & Takeyuki Tamura & Wai-Ki Ching & Tatsuya Akutsu, 2016. "Finding And Analyzing The Minimum Set Of Driver Nodes In Control Of Boolean Networks," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 1-32, May.
    15. Antonio Scialdone & Mario Nicodemi, 2008. "Mechanics and Dynamics of X-Chromosome Pairing at X Inactivation," PLOS Computational Biology, Public Library of Science, vol. 4(12), pages 1-7, December.
    16. Joly, Marcel & Rondó, Patrícia H.C., 2017. "The future of computational biomedicine: Complex systems thinking," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 132(C), pages 1-27.
    17. Gianluca D’Addese & Martina Casari & Roberto Serra & Marco Villani, 2021. "A Fast and Effective Method to Identify Relevant Sets of Variables in Complex Systems," Mathematics, MDPI, vol. 9(9), pages 1-27, April.
    18. Leonard Schmiester & Yannik Schälte & Frank T Bergmann & Tacio Camba & Erika Dudkin & Janine Egert & Fabian Fröhlich & Lara Fuhrmann & Adrian L Hauber & Svenja Kemmer & Polina Lakrisenko & Carolin Loo, 2021. "PEtab—Interoperable specification of parameter estimation problems in systems biology," PLOS Computational Biology, Public Library of Science, vol. 17(1), pages 1-10, January.
    19. Christian L Barrett & Bernhard O Palsson, 2006. "Iterative Reconstruction of Transcriptional Regulatory Networks: An Algorithmic Approach," PLOS Computational Biology, Public Library of Science, vol. 2(5), pages 1-10, May.
    20. Zandi-Mehran, Nazanin & Panahi, Shirin & Hosseini, Zahra & Hashemi Golpayegani, Seyed Mohammad Reza & Jafari, Sajad, 2020. "One dimensional map-based neuron model: A phase space interpretation," Chaos, Solitons & Fractals, Elsevier, vol. 132(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:taf:gcmbxx:v:11:y:2008:i:6:p:595-607. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/gcmb .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.