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Modelling In Molecular Biology


Modelling In Molecular Biology
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Modelling In Molecular Biology


Modelling In Molecular Biology
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Author : Gabriel Ciobanu
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Modelling In Molecular Biology written by Gabriel Ciobanu and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.


Presents new mathematical and computational models as well as statistical methods for the solution of fundamental problems in the biosciences. Describes how to find regularities among empirical data, as well as conceptual models and theories.



Computer Modelling In Molecular Biology


Computer Modelling In Molecular Biology
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Author : Julia M. Goodfellow
language : en
Publisher: John Wiley & Sons
Release Date : 2008-07-11

Computer Modelling In Molecular Biology written by Julia M. Goodfellow and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-07-11 with Science categories.


This book supplies an application-oriented introduction to molecular simulation techniques used to study a wide range of problems in molecular biology. Each chapter focuses in detail on one kind of application, including the scientific background, the appropriate methodology and the relationship to experimental results. The book contains many areas of interest to basic and industrial scientists, including: - flexibility of peptides - protein-peptide interactions - ion translocation across membranes - modelling protein and nucleic acid conformations - stability of mutant proteins - modelling conformational transitions Currently the only up-to-date compilation available, this book enables readers to get an overview of the methods and how they are used in various specialized applications without having to search for them in a large number of papers in different journals.



Molecular Modeling And Simulation


Molecular Modeling And Simulation
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Author : Tamar Schlick
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-04-18

Molecular Modeling And Simulation written by Tamar Schlick and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-18 with Science categories.


Very broad overview of the field intended for an interdisciplinary audience; Lively discussion of current challenges written in a colloquial style; Author is a rising star in this discipline; Suitably accessible for beginners and suitably rigorous for experts; Features extensive four-color illustrations; Appendices featuring homework assignments and reading lists complement the material in the main text



Molecular Modeling At The Atomic Scale


Molecular Modeling At The Atomic Scale
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Author : Ruhong Zhou
language : en
Publisher: CRC Press
Release Date : 2014-08-21

Molecular Modeling At The Atomic Scale written by Ruhong Zhou and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-08-21 with Science categories.


Although molecular modeling has been around for a while, the groundbreaking advancement of massively parallel supercomputers and novel algorithms for parallelization is shaping this field into an exciting new area. Developments in molecular modeling from experimental and computational techniques have enabled a wide range of biological applications. Responding to this renaissance, Molecular Modeling at the Atomic Scale: Methods and Applications in Quantitative Biology includes discussions of advanced techniques of molecular modeling and the latest research advancements in biomolecular applications from leading experts. The book begins with a brief introduction of major methods and applications, then covers the development of cutting-edge methods/algorithms, new polarizable force fields, and massively parallel computing techniques, followed by descriptions of how these novel techniques can be applied in various research areas in molecular biology. It also examines the self-assembly of biomacromolecules, including protein folding, RNA folding, amyloid peptide aggregation, and membrane lipid bilayer formation. Additional topics highlight biomolecular interactions, including protein interactions with DNA/RNA, membrane, ligands, and nanoparticles. Discussion of emerging topics in biomolecular modeling such as DNA sequencing with solid-state nanopores and biological water under nanoconfinement round out the coverage. This timely summary contains the perspectives of leading experts on this transformation in molecular biology and includes state-of-the-art examples of how molecular modeling approaches are being applied to critical questions in modern quantitative biology. It pulls together the latest research and applications of molecular modeling and real-world expertise that can boost your research and development of applications in this rapidly changing field.



Discrete And Topological Models In Molecular Biology


Discrete And Topological Models In Molecular Biology
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Author : Nataša Jonoska
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-23

Discrete And Topological Models In Molecular Biology written by Nataša Jonoska and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-23 with Computers categories.


Theoretical tools and insights from discrete mathematics, theoretical computer science, and topology now play essential roles in our understanding of vital biomolecular processes. The related methods are now employed in various fields of mathematical biology as instruments to "zoom in" on processes at a molecular level. This book contains expository chapters on how contemporary models from discrete mathematics – in domains such as algebra, combinatorics, and graph and knot theories – can provide perspective on biomolecular problems ranging from data analysis, molecular and gene arrangements and structures, and knotted DNA embeddings via spatial graph models to the dynamics and kinetics of molecular interactions. The contributing authors are among the leading scientists in this field and the book is a reference for researchers in mathematics and theoretical computer science who are engaged with modeling molecular and biological phenomena using discrete methods. It may also serve as a guide and supplement for graduate courses in mathematical biology or bioinformatics, introducing nontraditional aspects of mathematical biology.



Modeling Dynamic Phenomena In Molecular And Cellular Biology


Modeling Dynamic Phenomena In Molecular And Cellular Biology
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Author : Lee A. Segel
language : en
Publisher: Cambridge University Press
Release Date : 1984-03-30

Modeling Dynamic Phenomena In Molecular And Cellular Biology written by Lee A. Segel and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984-03-30 with Mathematics categories.


The dynamic development of various processes is a central problem of biology and indeed of all the sciences. The mathematics describing that development is, in general, complicated, because the models that are realistic are usually nonlinear. Consequently many biologists may not notice a possible application of theory. They may be unable to decide whether a particular model captures the essence of a system, or to appreciate that analysis of a model can reveal important aspects of biological problems and may even describe in detail how a system works. The aim of this textbook is to remedy the situation by adopting a general approach to model analysis and applying it several times to problems (drawn primarily from molecular and cellular biology) of gradually increasing biological and mathematical complexity. Although material of considerable sophistication is included, little mathematical background is required - only some exposure to elementary calculus; appendixes supply the necessary mathematics and the author concentrates on concepts rather than techniques. He also emphasizes the role of computers in giving a full picture of model behavior and complementing more qualitative analysis. Some problems suitable for computer analysis are also included. This is a class-tested textbook suitable for a one-semester course for advanced undergraduate and beginning graduate students in biology or applied mathematics. It can also be used as a source book for teachers and a reference for specialists.



Molecular Modeling And Prediction Of Bioactivity


Molecular Modeling And Prediction Of Bioactivity
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Author : Klaus Gundertofte
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Molecular Modeling And Prediction Of Bioactivity written by Klaus Gundertofte and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Science categories.


Much of chemistry, molecular biology, and drug design, are centered around the relationships between chemical structure and measured properties of compounds and polymers, such as viscosity, acidity, solubility, toxicity, enzyme binding, and membrane penetration. For any set of compounds, these relationships are by necessity complicated, particularly when the properties are of biological nature. To investigate and utilize such complicated relationships, henceforth abbreviated SAR for structure-activity relationships, and QSAR for quantitative SAR, we need a description of the variation in chemical structure of relevant compounds and biological targets, good measures of the biological properties, and, of course, an ability to synthesize compounds of interest. In addition, we need reasonable ways to construct and express the relationships, i. e. , mathematical or other models, as well as ways to select the compounds to be investigated so that the resulting QSAR indeed is informative and useful for the stated purposes. In the present context, these purposes typically are the conceptual understanding of the SAR, and the ability to propose new compounds with improved property profiles. Here we discuss the two latter parts of the SARlQSAR problem, i. e. , reasonable ways to model the relationships, and how to select compounds to make the models as "good" as possible. The second is often called the problem of statistical experimental design, which in the present context we call statistical molecular design, SMD. 1.



Modeling Biomolecular Site Dynamics


Modeling Biomolecular Site Dynamics
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Author : William S. Hlavacek
language : en
Publisher:
Release Date : 2019

Modeling Biomolecular Site Dynamics written by William S. Hlavacek and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with Molecular biology categories.




The Microbial Models Of Molecular Biology


The Microbial Models Of Molecular Biology
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Author : Rowland H. Davis
language : en
Publisher: Oxford University Press
Release Date : 2003-09-11

The Microbial Models Of Molecular Biology written by Rowland H. Davis and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-09-11 with Science categories.


This book explains the role of simple biological model systems in the growth of molecular biology. Essentially the whole history of molecular biology is presented here, tracing the work in bacteriophages in E. coli, the role of other prokaryotic systems, and also the protozoan and algal models - Paramecium and Chlamydomonas, primarily - and the move into eukaryotes with the fungal systems - Neurospora, Aspergillus and yeast. Each model was selected for its appropriateness for asking a given class of questions, and each spawned its own community of investigators. Some individuals made the transition to a new model over time, and remnant communities of investigators continue to pursue questions in all these models, as the cutting edge of molecular biological research flowed onward from model to model, and onward into higher organisms and, ultimately, mouse and man.



Mathematical Modeling In Systems Biology


Mathematical Modeling In Systems Biology
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Author : Brian P. Ingalls
language : en
Publisher: MIT Press
Release Date : 2022-06-07

Mathematical Modeling In Systems Biology written by Brian P. Ingalls and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-07 with Science categories.


An introduction to the mathematical concepts and techniques needed for the construction and analysis of models in molecular systems biology. Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. These models serve as working hypotheses: they help us to understand and predict the behavior of complex systems. This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology. It is accessible to upper-level undergraduate or graduate students in life science or engineering who have some familiarity with calculus, and will be a useful reference for researchers at all levels. The first four chapters cover the basics of mathematical modeling in molecular systems biology. The last four chapters address specific biological domains, treating modeling of metabolic networks, of signal transduction pathways, of gene regulatory networks, and of electrophysiology and neuronal action potentials. Chapters 3–8 end with optional sections that address more specialized modeling topics. Exercises, solvable with pen-and-paper calculations, appear throughout the text to encourage interaction with the mathematical techniques. More involved end-of-chapter problem sets require computational software. Appendixes provide a review of basic concepts of molecular biology, additional mathematical background material, and tutorials for two computational software packages (XPPAUT and MATLAB) that can be used for model simulation and analysis.