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 #  AuthorTitleAccn#YearItem Type Claims
1 Nikolay Dokholyan (ed.) Computational modeling of biological systems I01826 2012 eBook  
2 Matthew Simon Emergent computation I00528 2005 eBook  
3 Peter beim Graben ... Lectures in supercomputational neuroscience I00509 2008 eBook  
4 Eugene V. Koonin Power laws, scale-free networks and genome biology I00422 2006 eBook  
5 Ying Xu (ed.) Computational methods for protein structure prediction and modeling I00093 2007 eBook  
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1.    
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TitleComputational modeling of biological systems : from molecules to pathways
Author(s)Nikolay Dokholyan (ed.)
PublicationNew York, Springer, 2012.
Description1 online resource (vi, 364 p.)
Abstract NoteAnnotation
Contents Notept. 1. Molecular modeling -- pt. 2. Modeling macromolecular assemblies -- pt. 3. Modeling cells and cellular pathways -- pt. 4. Modeling evolution
NotesIncludes bibliographical references and index
Keyword(s)1. BIOINFORMATICS 2. Biophysics and Biological Physics 3. Computational biology 4. Computational Biology/Bioinformatics 5. EBOOK 6. EBOOK - SPRINGER 7. Mathematical and Computational Biology 8. Molecular Medicine 9. NATURE / Reference 10. SCIENCE / Life Sciences / Biology 11. SCIENCE / Life Sciences / General
Item TypeeBook
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I01826     On Shelf    

2.     
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TitleEmergent computation : emphasizing bioinformatics
Author(s)Matthew Simon
PublicationNew York, AIP Press/Springer Science+Business Media, 2005.
Description1 online resource (xiv, 423 p.) : ill
Abstract Note"Emergent Computation is concerned with recent applications of mathematical linguistics or automata theory. The primary focus is upon "bioinformatics" (the genome and rising interest in the proteome), but the closing chapter also examines applications in biology, medicine, anthropology, and so on." "The papers examine the subjects of interest from the point of view of applying language theory to search for new results, but also as biological automatons (implementations or machines) to do calculations." "This book will be of value of those studying bioinformatics, biochemistry, computer science, mathematical linguistics, and biology, as well as pharmacology (with the possible promise of medically active artificial DNA, RNA, and proteins). Laboratory results demonstrating the usefulness of the topics discussed are shown both in vitro and in vivo."--Jacket
Contents NoteA review of chemistry -- A review of aspects of automata theory -- The beginning numbers -- Regular languages: DNA and RNA -- Context free languages: DNA and RNA -- Context sensitive languages: DNA, RNA, proteins -- Turing machines and sub-turing machines -- Splicing systems, H systems -- tRNA structure -- Semigroups and bioinformatics -- Automata theory: non-bioinformatics emergent computation
NotesIncludes bibliographical references (p. [391]-413) and index
Keyword(s)1. Bio-informatique 2. BIOINFORMATICS 3. Biomedical engineering 4. Computational biology 5. Computers, Molecular 6. EBOOK 7. EBOOK - SPRINGER 8. Electronic books 9. G�enie biom�edical 10. Medical informatics 11. Models, Genetic 12. M�edecine 13. SCIENCE
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I00528     On Shelf    

3.     
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TitleLectures in supercomputational neuroscience : dynamics in complex brain networks
Author(s)Peter beim Graben ...;eds
PublicationBerlin, Springer, 2008.
Description1 online resource (x, 375 p.) : ill
Abstract NoteComputational Neurosciences is a burgeoning field of research where only the combined effort of neuroscientists, biologists, psychologists, physicists, mathematicians, computer scientists, engineers and other specialists, e.g. from linguistics and medicine, seem to be able to expand the limits of our knowledge. The present volume is an introduction, largely from the physicists' perspective, to the subject matter with in-depth contributions by system neuroscientists. A conceptual model for complex networks of neurons is introduced that incorporates many important features of the real brain, suc
Contents NoteNeurophysiology -- Complex networks -- Cognition and higher perception -- Implementations -- Applications
NotesIncludes bibliographical references and index
Keyword(s)1. BIOPHYSICS 2. BRAIN 3. Computational biology 4. Computational neuroscience 5. EBOOK 6. EBOOK - SPRINGER 7. MEDICAL 8. Models, Neurological 9. Neural Networks (Computer) 10. Neural networks (Neurobiology) 11. NEUROPHYSIOLOGY 12. PSYCHOLOGY
Item TypeeBook
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I00509     On Shelf    

4.     
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TitlePower laws, scale-free networks and genome biology
Author(s)Eugene V. Koonin;Yuri I. Wolf;Georgy P. Karev
PublicationGeorgetown, 1. Landes Bioscience/Eurekah.com 2. Springer Science+Business Media, 2006.
Description1 online resource (257 p.) : ill
Abstract NoteDeals with crucial aspects of the theoretical foundations of systems biology, namely power law distributions and scale-free networks. This book not only describes the interesting mathematical properties of biological networks, but moves beyond phenomenology, towards models of evolution capable of explaining the emergence of these features
Contents NotePower laws in biological networks / Eivind Almaas and Albert-L�aszl�o Barab�asi -- Graphical analysis of biocomplex networks and transport phenomena / Kwang-Il Goh, Byungnam Kahng and Doochul Kim -- Large-scale topological properties of molecular networks / Sergei Maslov and Kim Sneppen -- The connectivity of large genetic networks: design, history, or mere chemistry? / Andreas Wagner -- The drosophila protein interaction network may be neither power-law nor scale-free / J.S. Bader -- Birth and death models of genome evolution / Georgy P. Karev, Yuri I. Wolf and Eugene V. Koonin -- Scale-free evolution: from proteins to organisms / Nikolay V. Dokholyan and Eugene I. Shakhnovich -- Gene regulatory networks / T. Gregory Dewey and David J. Galas -- Power law correlations in DNA sequences / Sergey V. Buldyrev -- Analytical evolutionary model for protein fold occurrence in genomes, accounting for the effects of gene duplication, deletion, acquisition and selective pressure / Michael Kamal ... [et al.] -- The protein universes: some informatic issues in protein classification / S. Rackovsky -- The role of computation in complex regulatory networks / Pau Fern�andez and Ricard V. Sol�e -- Neutrality and selection in the evolution of gene families / Itai Yanai -- Scaling laws in the functional content of genomes: fundamental constants of evolution? / Erik van Nimwegen
NotesIncludes bibliographical references and index
Keyword(s)1. ALGORITHMS 2. Biological models 3. Computational biology 4. EBOOK 5. EBOOK - SPRINGER 6. Genomics 7. Models, Biological 8. SCIENCE
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I00422     On Shelf    

5.    
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TitleComputational methods for protein structure prediction and modeling
Author(s)Ying Xu (ed.);Dong Xu (ed.);Jie Liang (ed.)
PublicationNew York, Springer, 2007.
Description1 online resource (2 v.) : ill
Abstract NoteProviding systematic technical expositions of the computational methods for major aspects of protein structure analysis, prediction and modelling, this work focuses on the basic characterisation of known protein structures as well as structure prediction from protein sequence information
Contents Notev. 1. Basic characterization -- v. 2. Structure prediction
NotesIncludes bibliographical references and index
Keyword(s)1. Amino Acid Sequence 2. Computational biology 3. EBOOK 4. EBOOK - SPRINGER 5. Models, Molecular 6. Protein Conformation 7. Proteins 8. SCIENCE 9. Science: Biology
Item TypeeBook
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I00093     On Shelf    

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