Computational Molecular Biology

Computational Molecular Biology PDF Author: J. Leszczynski
Publisher: Elsevier
ISBN: 008052964X
Category : Science
Languages : en
Pages : 663

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Book Description
This book covers applications of computational techniques to biological problems. These techniques are based by an ever-growing number of researchers with different scientific backgrounds - biologists, chemists, and physicists.The rapid development of molecular biology in recent years has been mirrored by the rapid development of computer hardware and software. This has resulted in the development of sophisticated computational techniques and a wide range of computer simulations involving such methods. Among the areas where progress has been profound is in the modeling of DNA structure and function, the understanding at a molecular level of the role of solvents in biological phenomena, the calculation of the properties of molecular associations in aqueous solutions, computationally assisted drug design, the prediction of protein structure, and protein - DNA recognition, to mention just a few examples. This volume comprises a balanced blend of contributions covering such topics. They reveal the details of computational approaches designed for biomoleucles and provide extensive illustrations of current applications of modern techniques.A broad group of readers ranging from beginning graduate students to molecular biology professions should be able to find useful contributions in this selection of reviews.

Computational Molecular Biology

Computational Molecular Biology PDF Author: J. Leszczynski
Publisher: Elsevier
ISBN: 008052964X
Category : Science
Languages : en
Pages : 663

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Book Description
This book covers applications of computational techniques to biological problems. These techniques are based by an ever-growing number of researchers with different scientific backgrounds - biologists, chemists, and physicists.The rapid development of molecular biology in recent years has been mirrored by the rapid development of computer hardware and software. This has resulted in the development of sophisticated computational techniques and a wide range of computer simulations involving such methods. Among the areas where progress has been profound is in the modeling of DNA structure and function, the understanding at a molecular level of the role of solvents in biological phenomena, the calculation of the properties of molecular associations in aqueous solutions, computationally assisted drug design, the prediction of protein structure, and protein - DNA recognition, to mention just a few examples. This volume comprises a balanced blend of contributions covering such topics. They reveal the details of computational approaches designed for biomoleucles and provide extensive illustrations of current applications of modern techniques.A broad group of readers ranging from beginning graduate students to molecular biology professions should be able to find useful contributions in this selection of reviews.

Computational Molecular Evolution

Computational Molecular Evolution PDF Author: Ziheng Yang
Publisher: Oxford University Press, USA
ISBN: 0198566999
Category : Medical
Languages : en
Pages : 374

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Book Description
This book describes the models, methods and algorithms that are most useful for analysing the ever-increasing supply of molecular sequence data, with a view to furthering our understanding of the evolution of genes and genomes.

Computational Molecular Biology

Computational Molecular Biology PDF Author: S. Istrail
Publisher: Gulf Professional Publishing
ISBN: 9780444513847
Category : Computers
Languages : en
Pages : 196

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Book Description
This volume contains papers demonstrating the variety and richness of computational problems motivated by molecular biology. The application areas within biology that give rise to the problems studied in these papers include solid molecular modeling, sequence comparison, phylogeny, evolution, mapping, DNA chips, protein folding and 2D gel technology. The mathematical techniques used are algorithmics, combinatorics, optimization, probability, graph theory, complexity and applied mathematics. This is the fourth volume in the Discrete Applied Mathematics series on computational molecular biology, which is devoted to combinatorial and algorithmic techniques in computational molecular biology. This series publishes novel research results on the mathematical and algorithmic foundations of the inherently discrete aspects of computational biology. Key features: . protein folding . phylogenetic inference . 2-dimensional gel analysis . graphical models for sequencing by hybridisation . dynamic visualization of molecular surfaces . problems and algorithms in sequence alignment This book is a reprint of Discrete Applied Mathematics Volume 127, Number 1.

Computational Molecular Science

Computational Molecular Science PDF Author: Peter R. Schreiner
Publisher: Wiley
ISBN: 9780470723074
Category : Science
Languages : en
Pages : 0

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Book Description
Easy access to information on all aspects of molecular computations Order the six-volume set today and benefit from the special introductory price – full details below Computational Molecular Science is the successor of the highly acclaimed Encyclopedia of Computational Chemistry, which was published by Wiley in 1998, and is the ultimate resource on all aspects of computational chemistry and its applications in chemistry, biology and materials science. Capturing the interdisciplinary flavour of the field, authors address key topics from differing perspectives such as chemistry, biology and materials science. In order to make the material accessible to students, practitioners and researchers alike the content is presented at different depths and levels in a range of article types: Overviews provide broad and non-technical treatment of important topics at an accessible level Key areas of research in the style of leading review journals are presented in Advanced Reviews for researchers and advanced students Focus Articles present short, technical contributions describing specific real-world issues, e.g. implementations etc. Software Reviews feature specific software packages of high utility in the field, with an emphasis on their capabilities and implementation rather than methodology Opinions present individual perspectives from thought leaders in the field A special focus has been placed on computations and modeling of relevant biomolecules which are essential to new developments in medicinal chemistry. Covering all areas relevant to the understanding of computational molecular methods the content is structured in the following sections: Computer and Information Science includes a wide range of techniques and applications used in cheminformatics, such as artificial intelligence, patent information, semantic web, data mining, automated synthesis design, etc. Electronic Structure Theory covers computations of molecules based on ab initio quantum molecular methods and density functional theory Simulation Methods includes free energy methods, molecular dynamics, Monte-Carlo methods and molecular mechanics Software describes examples of commercial and shareware software packages for molecular computations and modeling Structure and Mechanism concentrates on applications in the areas of computational biochemistry and biophysics, computational materials science, molecular structures and dynamics, and reaction mechanisms Theoretical and Physical Chemistry includes reaction dynamics, kinetics and spectroscopy Experience the scope of content in Computational Molecular Science for yourself with a selection of free articles available to download now: Predictions of protein–RNA interactions Cheminformatics and the Semantic Web: adding value with linked data and enhanced provenance Density functional theory in materials science Metadynamics Noncovalent interactions in biochemistry All chapters included in Computational Molecular Science have also been published online in WIREs Computational Molecular Science between January 2011 and June 2014. WIREs Computational Molecular Science Wiley Interdisciplinary Reviews, or short WIREs, combine the best possible features of major online reference works (didactic structure, high visibility, fast searches, and electronic accessibility) with the completeness, rigor, and overall high quality of review journals. WIREs Computational Molecular Science uses all the advantages of the WIREs concept and is the logical online successor of the highly acclaimed Encyclopedia of Computational Chemistry. As a review journal WIREs Computational Molecular Science includes all the material published in the book edition and will continue to publish much more material in the future, establishing itself as THE REVIEW JOURNAL in the field of computational chemistry and biology, offering the following advantages: An impact factor of 5.783 according to 2012 ISI Journal Citation Reports with the following Ranking: 1/47 (Mathematical & Computational Biology) and 22/152 (Chemistry Multidisciplinary) Indexed in all major A&I services such as CAS, TRSI and Scopus Important new forum to promote cross-disciplinary research on computational chemistry, biochemistry and materials science Authoritative, encyclopedic resource addressing key topics from diverse research perspectives Recommend that your librarian requests a free trial for your institution, click here For further information about WIREs Computational Molecular Science and other WIREs titles visit www.wires.wiley.com/compmolsci

Current Topics in Computational Molecular Biology

Current Topics in Computational Molecular Biology PDF Author: Tao Jiang
Publisher: MIT Press
ISBN: 9780262100922
Category : Computers
Languages : en
Pages : 570

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Book Description
A survey of current topics in computational molecular biology. Computational molecular biology, or bioinformatics, draws on the disciplines of biology, mathematics, statistics, physics, chemistry, computer science, and engineering. It provides the computational support for functional genomics, which links the behavior of cells, organisms, and populations to the information encoded in the genomes, as well as for structural genomics. At the heart of all large-scale and high-throughput biotechnologies, it has a growing impact on health and medicine. This survey of computational molecular biology covers traditional topics such as protein structure modeling and sequence alignment, and more recent ones such as expression data analysis and comparative genomics. It combines algorithmic, statistical, database, and AI-based methods for studying biological problems. The book also contains an introductory chapter, as well as one on general statistical modeling and computational techniques in molecular biology. Each chapter presents a self-contained review of a specific subject. Not for sale in China, including Hong Kong.

Computational Materials Science

Computational Materials Science PDF Author: June Gunn Lee
Publisher: CRC Press
ISBN: 1498749755
Category : Science
Languages : en
Pages : 365

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Book Description
This book covers the essentials of Computational Science and gives tools and techniques to solve materials science problems using molecular dynamics (MD) and first-principles methods. The new edition expands upon the density functional theory (DFT) and how the original DFT has advanced to a more accurate level by GGA+U and hybrid-functional methods. It offers 14 new worked examples in the LAMMPS, Quantum Espresso, VASP and MedeA-VASP programs, including computation of stress-strain behavior of Si-CNT composite, mean-squared displacement (MSD) of ZrO2-Y2O3, band structure and phonon spectra of silicon, and Mo-S battery system. It discusses methods once considered too expensive but that are now cost-effective. New examples also include various post-processed results using VESTA, VMD, VTST, and MedeA.

Introduction to Computational Molecular Biology

Introduction to Computational Molecular Biology PDF Author: João Carlos Setubal
Publisher: Pws Publishing Company
ISBN: 9780534952624
Category : Computers
Languages : en
Pages : 296

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Book Description
Basic concepts of molecular biology. Strings, graphs, and algorithms. Sequence comparasion and database search. Fragment assembly of DNA. Physical mapping of DNA. Phylogenetic trees. Genome rearrangements. Molecular structure prediction. epilogue: computing with DNA. Answers to selected exercises. References. index.

Handbook of Computational Molecular Biology

Handbook of Computational Molecular Biology PDF Author: Srinivas Aluru
Publisher: Chapman and Hall/CRC
ISBN: 9781584884064
Category : Science
Languages : en
Pages : 1104

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Book Description
The enormous complexity of biological systems at the molecular level must be answered with powerful computational methods. Computational biology is a young field, but has seen rapid growth and advancement over the past few decades. Surveying the progress made in this multidisciplinary field, the Handbook of Computational Molecular Biology offers comprehensive, systematic coverage of the various techniques and methodologies currently available. Accomplished researcher Srinivas Aluru leads a team of experts from around the world to produce this groundbreaking, authoritative reference. With discussions ranging from fundamental concepts to practical applications, this book details the algorithms necessary to solve novel problems and manage the massive amounts of data housed in biological databases throughout the world. Divided into eight sections for convenient searching, the handbook covers methods and algorithms for sequence alignment, string data structures, sequence assembly and clustering, genome-scale computational methods in comparative genomics, evolutionary and phylogenetic trees, microarrays and gene expression analysis, computational methods in structural biology, and bioinformatics databases and data mining. The Handbook of Computational Molecular Biology is the first resource to integrate coverage of the broad spectrum of topics in computational biology and bioinformatics. It supplies a quick-reference guide for easy implementation and provides a strong foundation for future discoveries in the field.

Computational Molecular Dynamics: Challenges, Methods, Ideas

Computational Molecular Dynamics: Challenges, Methods, Ideas PDF Author: Peter Deuflhard
Publisher: Springer Science & Business Media
ISBN: 3642583601
Category : Mathematics
Languages : en
Pages : 500

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Book Description
On May 21-24, 1997 the Second International Symposium on Algorithms for Macromolecular Modelling was held at the Konrad Zuse Zentrum in Berlin. The event brought together computational scientists in fields like biochemistry, biophysics, physical chemistry, or statistical physics and numerical analysts as well as computer scientists working on the advancement of algorithms, for a total of over 120 participants from 19 countries. In the course of the symposium, the speakers agreed to produce a representative volume that combines survey articles and original papers (all refereed) to give an impression of the present state of the art of Molecular Dynamics. The 29 articles of the book reflect the main topics of the Berlin meeting which were i) Conformational Dynamics, ii) Thermodynamic Modelling, iii) Advanced Time-Stepping Algorithms, iv) Quantum-Classical Simulations and Fast Force Field and v) Fast Force Field Evaluation.

Combinatorics of Genome Rearrangements

Combinatorics of Genome Rearrangements PDF Author: Guillaume Fertin
Publisher: MIT Press
ISBN: 0262062828
Category : Combinatorial analysis
Languages : en
Pages : 305

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Book Description
A comprehensive survey of a rapidly expanding field of combinatorial optimization, mathematically oriented but offering biological explanations when required. From one cell to another, from one individual to another, and from one species to another, the content of DNA molecules is often similar. The organization of these molecules, however, differs dramatically, and the mutations that affect this organization are known as genome rearrangements. Combinatorial methods are used to reconstruct putative rearrangement scenarios in order to explain the evolutionary history of a set of species, often formalizing the evolutionary events that can explain the multiple combinations of observed genomes as combinatorial optimization problems. This book offers the first comprehensive survey of this rapidly expanding application of combinatorial optimization. It can be used as a reference for experienced researchers or as an introductory text for a broader audience. Genome rearrangement problems have proved so interesting from a combinatorial point of view that the field now belongs as much to mathematics as to biology. This book takes a mathematically oriented approach, but provides biological background when necessary. It presents a series of models, beginning with the simplest (which is progressively extended by dropping restrictions), each constructing a genome rearrangement problem. The book also discusses an important generalization of the basic problem known as the median problem, surveys attempts to reconstruct the relationships between genomes with phylogenetic trees, and offers a collection of summaries and appendixes with useful additional information.