Emergent collective properties, networks and information in biology
著者
書誌事項
Emergent collective properties, networks and information in biology
(New comprehensive biochemistry / general editors, A. Neuberger, L.L.M. van Deenen, v. 40)
Elsevier, 2006
1st ed
大学図書館所蔵 全16件
  青森
  岩手
  宮城
  秋田
  山形
  福島
  茨城
  栃木
  群馬
  埼玉
  千葉
  東京
  神奈川
  新潟
  富山
  石川
  福井
  山梨
  長野
  岐阜
  静岡
  愛知
  三重
  滋賀
  京都
  大阪
  兵庫
  奈良
  和歌山
  鳥取
  島根
  岡山
  広島
  山口
  徳島
  香川
  愛媛
  高知
  福岡
  佐賀
  長崎
  熊本
  大分
  宮崎
  鹿児島
  沖縄
  韓国
  中国
  タイ
  イギリス
  ドイツ
  スイス
  フランス
  ベルギー
  オランダ
  スウェーデン
  ノルウェー
  アメリカ
注記
Includes bibliographical references and index
内容説明・目次
内容説明
The concept of network as a mathematical description of a set of states, or events, linked according to a certain topology has been developed recently and has led to a novel approach of real world. This approach is no doubt important in the field of biology. In fact biological systems can be considered networks. Thus, for instance, an enzyme-catalysed reaction is a network that links, according to a certain topology, the various states of the protein and of its complexes with the substrates and products of the chemical reaction. Connections between neurons, social relations in animal and human populations are also examples of networks. Hence there is little doubt that the concept of network transgresses the boundaries between traditional scientific disciplines. This book is aimed at discussing in physical terms these exciting new topics on simple protein model lattices, supramolecular protein edifices, multienzyme and gene networks.
目次
- PrefaceMolecular stereospecific recognition and reduction in cell biology
- Mathematical prelude: elementary set and probability theory
- Biological networks
- Information and communication in living systems
- Statistical mechanics of network information, integration and emergence
- On the mechanistic causes of network information, integration and emergence
- Information and organization of metabolic networks
- Functional connections in multienzyme complexes, information and generalized microscopic reversibility
- Conformation changes and information flow in protein edifices
- Gene networks
- Stochastic fluctuations and network dynamicsIndex
「Nielsen BookData」 より