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Is anything ever new?: considering emergence
No full textIs anything ever new?: considering emergence
In summary, three notions will be distinguished:
1. The intuitive definition of emergence: \ue2\u80\u9csomething new appears\ue2\u80\u9d;
2. Pattern formation: an observer identifies \ue2\u80\u9corganization\ue2\u80\u9d in a dynamical system; and
3. Intrinsic emergence: the system itself capitalizes on patterns that appear
Information Theory of Complex Networks: On Evolution and Architectural Constraints
No full textInformation Theory of Complex Networks: On Evolution and Architectural Constraint
Hox Gene Expression in Teleost Fins and the Origin of Vertebrate Digits
No full textHox Gene Expression in Teleost Fins and the Origin of Vertebrate Digit
The Plausibility of Life: Resolving Darwin\u27s Dilemma
No full textThe Plausibility of Life: Resolving Darwin\u27s Dilemm
A Complex Oscillating Network of Signaling Genes Underlies the Mouse Segmentation Clock
No full textA Complex Oscillating Network of Signaling Genes Underlies the Mouse Segmentation Cloc
Spontaneous evolution of modularity and network motifs.
No full textSpontaneous evolution of modularity and network motifs.
-Good quantitative measure of modularity
-interesting but quite unrealistic mode
Biological significance of autoregulation through steady state analysis of genetic networks
No full textBiological significance of autoregulation through steady state analysis of genetic network
Networks in molecular evolution
No full textNetworks in molecular evolution
properties of the RNA map were derived:
"For sequence spaces of chain lengths n > 10 there are orders of magnitude more sequences than structures and hence, the map is many-to-one (as predicted analytically above)."
"Few common and many rare structures."
"In other words, for each arbitrarily chosen pair of structures there will be at least on sequence that can form both."
Very general but nice conclusion:
"We have discussed here only four classes of the networks which play a central role in molecular biology.
Networks of gene regulation, both at level of the
single cell and the signaling networks of multicellular organisms are just as important. In higher organisms neural networks form an additional layer of complexity (see Olaf Sporn\u27s contribution in this issue).
While we begin to understand structure and function of networks within each class, for which ample data are available at least in some cases, little is known on the interaction of the various levels. The mechanisms governing crosstalk between hierarchical levels are, nevertheless, equally important if not more relevant for proper
functioning of organisms. They are in the center of topdown control and regulation, without which every form of organization is doomed to break down. What makes this type of control tricky in but not only in biology is the partial autonomy of agents at the lower level. More and more detailed knowledge on communication between cells will help us to explore successfully the subtle interplay
between local independence and global control.
Evolution by gene duplication and compensatory advantageous mutations.
No full textEvolution by gene duplication and compensatory advantageous mutations