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Molecular mechanisms of autonomy in ...

Karimi, Tara.

Molecular mechanisms of autonomy in biological systemsrelativity of code, energy and mass /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Molecular mechanisms of autonomy in biological systemsby Tara Karimi.
其他題名:	relativity of code, energy and mass /
作者:	Karimi, Tara.
出版者:	Cham :Springer International Publishing :2018.
面頁冊數:	xiii, 134 p. :digital ;24 cm.
Contained By:	Springer eBooks
標題:	Molecular biology.
電子資源:	http://dx.doi.org/10.1007/978-3-319-91824-2
ISBN:	9783319918242$q(electronic bk.)

Molecular mechanisms of autonomy in biological systemsrelativity of code, energy and mass /
Karimi, Tara.

Molecular mechanisms of autonomy in biological systemsrelativity of code, energy and mass /[electronic resource] :by Tara Karimi. - Cham :Springer International Publishing :2018. - xiii, 134 p. :digital ;24 cm.

Relativity of Code, Energy, and Mass versus Relativi-ty of Energy and Mass -- Molecular Mechanism of Coding and Autonomous Decision Making in Biological Systems -- Molecular mechanism of self-organization in biologi-cal systems -- Molecular mechanism of self-fueling in biological systems by relativity of code, energy, and mass -- Relativity of code, energy, and mass: Molecular mechanisms of autonomy in biological systems -- Molecular mechanism of autonomy and self-organization: an emergent concept for the future of biomedical sciences -- Conclusion -- Index.

This book presents a novel molecular description for understanding the regulatory mechanisms behind the autonomy and self-organization in biological systems. Chapters focus on defining and explaining the regulatory molecular mechanisms behind different aspects of autonomy and self-organization in the sense of autonomous coding, data processing, structure (mass) formation and energy production in a biological system. Subsequent chapters discuss the cross-talk among mechanisms of energy, and mass and information, transformation in biological systems. Other chapters focus on applications regarding therapeutic approaches in regenerative medicine. Molecular Mechanisms of Autonomy in Biological Systems is an indispensable resource for scientists and researchers in regenerative medicine, stem cell biology, molecular biology, tissue engineering, developmental biology, biochemistry, biophysics, bioinformatics, as well as big data sciences, complexity and soft computing.

ISBN: 9783319918242$q(electronic bk.)

Standard No.: 10.1007/978-3-319-91824-2doiSubjects--Topical Terms:

188737
Molecular biology.

LC Class. No.: QH506 / .K375 2018

Dewey Class. No.: 572.8

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505 0 $a Relativity of Code, Energy, and Mass versus Relativi-ty of Energy and Mass -- Molecular Mechanism of Coding and Autonomous Decision Making in Biological Systems -- Molecular mechanism of self-organization in biologi-cal systems -- Molecular mechanism of self-fueling in biological systems by relativity of code, energy, and mass -- Relativity of code, energy, and mass: Molecular mechanisms of autonomy in biological systems -- Molecular mechanism of autonomy and self-organization: an emergent concept for the future of biomedical sciences -- Conclusion -- Index.
520 $a This book presents a novel molecular description for understanding the regulatory mechanisms behind the autonomy and self-organization in biological systems. Chapters focus on defining and explaining the regulatory molecular mechanisms behind different aspects of autonomy and self-organization in the sense of autonomous coding, data processing, structure (mass) formation and energy production in a biological system. Subsequent chapters discuss the cross-talk among mechanisms of energy, and mass and information, transformation in biological systems. Other chapters focus on applications regarding therapeutic approaches in regenerative medicine. Molecular Mechanisms of Autonomy in Biological Systems is an indispensable resource for scientists and researchers in regenerative medicine, stem cell biology, molecular biology, tissue engineering, developmental biology, biochemistry, biophysics, bioinformatics, as well as big data sciences, complexity and soft computing.
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