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Titlebook: Information Processing in Cells and Tissues; 9th International Co Michael A. Lones,Stephen L. Smith,Martin A. Trefze Conference proceedings

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发表于 2025-3-21 19:03:04 | 显示全部楼层 |阅读模式
书目名称Information Processing in Cells and Tissues
副标题9th International Co
编辑Michael A. Lones,Stephen L. Smith,Martin A. Trefze
视频video
概述Fast track conference proceedings.Unique visibility.State of the art research
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Information Processing in Cells and Tissues; 9th International Co Michael A. Lones,Stephen L. Smith,Martin A. Trefze Conference proceedings
描述This book constitutes the refereed proceedings of the 9th International Conference on Information in Cells and Tissues, IPCAT 2012, held in Cambridge, UK, in March/April 2012. .The 13 revised full papers presented together with 26 extended abstracts were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in disciplines related to genetic and epigenetic networks, transcriptomics and gene regulation, signalling pathways and responses, protein structure and metabolic networks, patterning and rhythm generation, neural modelling and neural networks, biomedical modelling and signal processing, information processing and representation, and algorithmic approaches in computational biology.
出版日期Conference proceedings 2012
关键词bioinformatics; biomedic modelling; computational biology; genetic networks; neural networks; pattern rec
版次1
doihttps://doi.org/10.1007/978-3-642-28792-3
isbn_softcover978-3-642-28791-6
isbn_ebook978-3-642-28792-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2012
The information of publication is updating

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发表于 2025-3-21 20:58:45 | 显示全部楼层
Role of Physico-chemical Properties of Amino Acids in Protein’s Structural Organization: A Network Pnformation within a protein. The highly cliquish hydrophobic nodes in long- and short-range networks play a significant role in bridging and stabilizing distantly placed residues during protein folding. We have also observed a significant dominance of charged residues cliques in short-range networks.
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Using Artificial Epigenetic Regulatory Networks to Control Complex Tasks within Chaotic Systemslds upon existing models by adding an epigenetic control layer. The results demonstrate that the AERNs are more adept at controlling multiple opposing trajectories within Chirikov’s standard map, suggesting that AERNs are an interesting area for further investigation.
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A Gene Regulatory Network Simulation of Heterosisd hybridisation of networks which display the properties of gene regulatory networks observed in biology in a simulated environment. We can thus test the current hypotheses about heterosis and investigate which factors affect it.
发表于 2025-3-22 08:42:31 | 显示全部楼层
A Comprehensive Computational Model to Simulate Transcription Factor Binding in Prokaryotes from the DNA template. In particular, during the one dimensional random walk on the DNA, a molecule will perform one of the three types of movements: (.) sliding , (.) hopping and (.) jumping [6]. This combination of one and three dimensional diffusion is called . and it is hypothesised that this speeds up the search process [3,2,5].
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Predictive Modelling of Stem Cell Differentiation and Apoptosis in , model simulation was calibrated with experimental time and it is in accordance with experimental observations. In addition, the model provides means for testing hypotheses regarding the behaviour of mutated germ lines and the potential mechanisms causing physiological apoptosis, which are difficult to assess experimentally.
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0302-9743 national Conference on Information in Cells and Tissues, IPCAT 2012, held in Cambridge, UK, in March/April 2012. .The 13 revised full papers presented together with 26 extended abstracts were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in discip
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CRISPR Transcript Processing: An Unusual Mechanism for Rapid Production of Desired MoleculesCRISPR transcript processing, and show that the system functions as a strong amplifier, which can rapidly generate a large number of crRNAs from only few pre-crRNA molecules. Based on this analysis, we propose a synthetic gene circuit that can produce a large number of desired molecules from a potentially toxic substrate.
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