Emergent collective properties, networks and information in biology:
Saved in:
| Main Author: | |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Amsterdam [u.a.]
Elsevier
2006
|
| Edition: | 1. ed. |
| Series: | New comprehensive biochemistry
40 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis Klappentext |
| Physical Description: | XVII, 277 S. graph. Darst. |
| ISBN: | 0444521593 9780444521590 |
Staff View
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| 245 | 1 | 0 | |a Emergent collective properties, networks and information in biology |c J. Ricard |
| 250 | |a 1. ed. | ||
| 264 | 1 | |a Amsterdam [u.a.] |b Elsevier |c 2006 | |
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Record in the Search Index
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|---|---|
| adam_text | Contents
Preface
Other volumes in the series
Chapter
in cell biology
1.
2.
conditions as the logical basis for reduction in biology
3.
conditions
3.1.
systems
3.2.
equilibrium models
3.2.1.
3.2.2.
3.2.3.
of catalytic rate constant along the reaction
coordinate
4.
nonequilibrium conditions
4.1.
4.2.
5.
6.
7.
emergence in biological systems
References
Chapter
theory
1.
1.1.
1.2.
1.3.
1.4.
2.
2.1.
theorems
2.2.
Stieltjes integral
3.
3.1.
3.2.
3.3.
4.
4.1.
4.1.1.
4.1.2.
4.2.
5.
6.
network organization, information, and emergence
References
Chapter
1.
2.
3.
in a network
4.
4.1.
random graphs
4.2.
4.3.
5.
6.
References
Chapter
1.
2.
3.
4.
5. Nonextensive
6.
6.1.
6.2.
7.
XI
8.
and proteins
References
Chapter
and emergence
1.
1.1.
1.2.
integration
2.
3.
4.
5.
6.
References
Chapter
integration, and emergence
1.
2.
3.
3.1.
3.2.
two binding processes
3.3.
4.
References
Chapter
1.
2.
efficiency
3.
pseudo-equilibrium
4.
4.1.
4.2.
4.3.
4.4.
4.5.
networks
Xll
5.
theory
References
Chapter
information, and generalized microscopic reversibility
1.
in multienzyme complexes
1.1.
1.2.
2.
3.
reversibility
4.
5.
References
Chapter
edifices
1.
and nonequilibrium catalytic processes
2.
proteins and enzymes
2.1.
2.2.
2.3.
2.4.
3.
lattices
3.1.
integration of the elementary protein unit
3.2.
information of integration of protein lattices
3.2.1.
3.2.2.
conformational constraints in the lattice
3.2.3.
3.3.
3.3.1.
3.3.2.
transitions in a simple quasi-linear protein lattice
3.3.3.
conformation changes
Xlll
4.
References
Chapter
1.
bacterial
1.1.
1.2.
1.3.
2.
of gene networks
2.1.
2.2.
2.3.
3.
4.
4.1.
4.2.
4.3.
References
Chapter
1.
1.1.
1.2.
1.3.
1.3.1.
subjected to random collisions
1.3.2.
noise-driven properties
1.4.
equation
1.4.1.
one-dimensional motion
1.4.2.
2.
References
Subject Index
Jacques Ricard
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 the real world. This approach is no doubt
important in the field of biology for biological systems are, in fact, networks.
An important property of biological networks, which has been overlooked
so far, is the information involved in their general organization.
This new approach to the study of networks raises two important questions:
1.
individual properties of its components?
2.
to those of its components?
These questions are related to time-honoured problems. Descartes, long ago,
raised the problem of the reduction of the properties of a system to the
properties of its components, and the problem of emergence of novel
properties out of a complex system. So far these problems have only been
a matter of philosophical dispute, whereas now they can be solved in a
rigorous way.
|
| adam_txt |
Contents
Preface
Other volumes in the series
Chapter
in cell biology
1.
2.
conditions as the logical basis for reduction in biology
3.
conditions
3.1.
systems
3.2.
equilibrium models
3.2.1.
3.2.2.
3.2.3.
of catalytic rate constant along the reaction
coordinate
4.
nonequilibrium conditions
4.1.
4.2.
5.
6.
7.
emergence in biological systems
References
Chapter
theory
1.
1.1.
1.2.
1.3.
1.4.
2.
2.1.
theorems
2.2.
Stieltjes integral
3.
3.1.
3.2.
3.3.
4.
4.1.
4.1.1.
4.1.2.
4.2.
5.
6.
network organization, information, and emergence
References
Chapter
1.
2.
3.
in a network
4.
4.1.
random graphs
4.2.
4.3.
5.
6.
References
Chapter
1.
2.
3.
4.
5. Nonextensive
6.
6.1.
6.2.
7.
XI
8.
and proteins
References
Chapter
and emergence
1.
1.1.
1.2.
integration
2.
3.
4.
5.
6.
References
Chapter
integration, and emergence
1.
2.
3.
3.1.
3.2.
two binding processes
3.3.
4.
References
Chapter
1.
2.
efficiency
3.
pseudo-equilibrium
4.
4.1.
4.2.
4.3.
4.4.
4.5.
networks
Xll
5.
theory
References
Chapter
information, and generalized microscopic reversibility
1.
in multienzyme complexes
1.1.
1.2.
2.
3.
reversibility
4.
5.
References
Chapter
edifices
1.
and nonequilibrium catalytic processes
2.
proteins and enzymes
2.1.
2.2.
2.3.
2.4.
3.
lattices
3.1.
integration of the elementary protein unit
3.2.
information of integration of protein lattices
3.2.1.
3.2.2.
conformational constraints in the lattice
3.2.3.
3.3.
3.3.1.
3.3.2.
transitions in a simple quasi-linear protein lattice
3.3.3.
conformation changes
Xlll
4.
References
Chapter
1.
bacterial
1.1.
1.2.
1.3.
2.
of gene networks
2.1.
2.2.
2.3.
3.
4.
4.1.
4.2.
4.3.
References
Chapter
1.
1.1.
1.2.
1.3.
1.3.1.
subjected to random collisions
1.3.2.
noise-driven properties
1.4.
equation
1.4.1.
one-dimensional motion
1.4.2.
2.
References
Subject Index
Jacques Ricard
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 the real world. This approach is no doubt
important in the field of biology for biological systems are, in fact, networks.
An important property of biological networks, which has been overlooked
so far, is the information involved in their general organization.
This new approach to the study of networks raises two important questions:
1.
individual properties of its components?
2.
to those of its components?
These questions are related to time-honoured problems. Descartes, long ago,
raised the problem of the reduction of the properties of a system to the
properties of its components, and the problem of emergence of novel
properties out of a complex system. So far these problems have only been
a matter of philosophical dispute, whereas now they can be solved in a
rigorous way. |
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| illustrated | Illustrated |
| index_date | 2024-07-02T14:14:37Z |
| indexdate | 2024-07-09T20:37:10Z |
| institution | BVB |
| isbn | 0444521593 9780444521590 |
| language | English |
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| spelling | Ricard, Jacques Verfasser aut Emergent collective properties, networks and information in biology J. Ricard 1. ed. Amsterdam [u.a.] Elsevier 2006 XVII, 277 S. graph. Darst. txt rdacontent n rdamedia nc rdacarrier New comprehensive biochemistry 40 Biochemistry Biological systems Models, Biological Principal components analysis Reduction (Chemistry) Statistics as Topic methods Systems Biology methods Biomathematik (DE-588)4139408-2 gnd rswk-swf Biomathematik (DE-588)4139408-2 s DE-604 New comprehensive biochemistry 40 (DE-604)BV000003914 40 Digitalisierung UBRegensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014715223&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014715223&sequence=000002&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Ricard, Jacques Emergent collective properties, networks and information in biology New comprehensive biochemistry Biochemistry Biological systems Models, Biological Principal components analysis Reduction (Chemistry) Statistics as Topic methods Systems Biology methods Biomathematik (DE-588)4139408-2 gnd |
| subject_GND | (DE-588)4139408-2 |
| title | Emergent collective properties, networks and information in biology |
| title_auth | Emergent collective properties, networks and information in biology |
| title_exact_search | Emergent collective properties, networks and information in biology |
| title_exact_search_txtP | Emergent collective properties, networks and information in biology |
| title_full | Emergent collective properties, networks and information in biology J. Ricard |
| title_fullStr | Emergent collective properties, networks and information in biology J. Ricard |
| title_full_unstemmed | Emergent collective properties, networks and information in biology J. Ricard |
| title_short | Emergent collective properties, networks and information in biology |
| title_sort | emergent collective properties networks and information in biology |
| topic | Biochemistry Biological systems Models, Biological Principal components analysis Reduction (Chemistry) Statistics as Topic methods Systems Biology methods Biomathematik (DE-588)4139408-2 gnd |
| topic_facet | Biochemistry Biological systems Models, Biological Principal components analysis Reduction (Chemistry) Statistics as Topic methods Systems Biology methods Biomathematik |
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