Algorithms in Structural Molecular Biology

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Publisher : MIT Press
ISBN 13 : 0262548798
Total Pages : 497 pages
Book Rating : 4.2/5 (625 download)

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Book Synopsis Algorithms in Structural Molecular Biology by : Bruce R. Donald

Download or read book Algorithms in Structural Molecular Biology written by Bruce R. Donald and published by MIT Press. This book was released on 2023-08-15 with total page 497 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of algorithms important to computational structural biology that addresses such topics as NMR and design and analysis of proteins.Using the tools of information technology to understand the molecular machinery of the cell offers both challenges and opportunities to computational scientists. Over the past decade, novel algorithms have been developed both for analyzing biological data and for synthetic biology problems such as protein engineering. This book explains the algorithmic foundations and computational approaches underlying areas of structural biology including NMR (nuclear magnetic resonance); X-ray crystallography; and the design and analysis of proteins, peptides, and small molecules. Each chapter offers a concise overview of important concepts, focusing on a key topic in the field. Four chapters offer a short course in algorithmic and computational issues related to NMR structural biology, giving the reader a useful toolkit with which to approach the fascinating yet thorny computational problems in this area. A recurrent theme is understanding the interplay between biophysical experiments and computational algorithms. The text emphasizes the mathematical foundations of structural biology while maintaining a balance between algorithms and a nuanced understanding of experimental data. Three emerging areas, particularly fertile ground for research students, are highlighted: NMR methodology, design of proteins and other molecules, and the modeling of protein flexibility. The next generation of computational structural biologists will need training in geometric algorithms, provably good approximation algorithms, scientific computation, and an array of techniques for handling noise and uncertainty in combinatorial geometry and computational biophysics. This book is an essential guide for young scientists on their way to research success in this exciting field.

Algorithms in Computational Molecular Biology

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Publisher : John Wiley & Sons
ISBN 13 : 1118101987
Total Pages : 1027 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Algorithms in Computational Molecular Biology by : Mourad Elloumi

Download or read book Algorithms in Computational Molecular Biology written by Mourad Elloumi and published by John Wiley & Sons. This book was released on 2011-04-04 with total page 1027 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book represents the most comprehensive and up-to-date collection of information on the topic of computational molecular biology. Bringing the most recent research into the forefront of discussion, Algorithms in Computational Molecular Biology studies the most important and useful algorithms currently being used in the field, and provides related problems. It also succeeds where other titles have failed, in offering a wide range of information from the introductory fundamentals right up to the latest, most advanced levels of study.

Algorithms and Methods in Structural Bioinformatics

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Author :
Publisher : Springer Nature
ISBN 13 : 303105914X
Total Pages : 120 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Algorithms and Methods in Structural Bioinformatics by : Nurit Haspel

Download or read book Algorithms and Methods in Structural Bioinformatics written by Nurit Haspel and published by Springer Nature. This book was released on 2022-09-01 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-dimensional structure and function of molecules present many challenges and opportunities for developing an understanding of biological systems. With the increasing availability of molecular structures and the advancing accuracy of structure predictions and molecular simulations, the space for algorithmic advancement on many analytical and predictive problems is both broad and deep. To support this field, a rich set of methods and algorithms are available, addressing a variety of important problems such as protein-protein interactions, the effect of mutations on protein structure and function, and protein structure determination. Despite recent advancements in the field, in particular in protein folding with the development of AlphaFold, many problems still remain unsolved. In this book we focus on a number of topics in Structural Bioinformatics: Cryo-EM structural detection, protein conformational exploration, elucidation of molecular binding surface using geometry, the effect of mutations, insertions and deletions on protein structural stability, and protein-ligand binding.

Structural Bioinformatics

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Publisher : CRC Press
ISBN 13 : 1420011790
Total Pages : 429 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Structural Bioinformatics by : Forbes J. Burkowski

Download or read book Structural Bioinformatics written by Forbes J. Burkowski and published by CRC Press. This book was released on 2008-10-30 with total page 429 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Beauty of Protein Structures and the Mathematics behind Structural Bioinformatics Providing the framework for a one-semester undergraduate course, Structural Bioinformatics: An Algorithmic Approach shows how to apply key algorithms to solve problems related to macromolecular structure. Helps Students Go Further in Their Study of Structural Biology Following some introductory material in the first few chapters, the text solves the longest common subsequence problem using dynamic programming and explains the science models for the Nussinov and MFOLD algorithms. It then reviews sequence alignment, along with the basic mathematical calculations needed for measuring the geometric properties of macromolecules. After looking at how coordinate transformations facilitate the translation and rotation of molecules in a 3D space, the author introduces structural comparison techniques, superposition algorithms, and algorithms that compare relationships within a protein. The final chapter explores how regression and classification are becoming more useful in protein analysis and drug design. At the Crossroads of Biology, Mathematics, and Computer Science Connecting biology, mathematics, and computer science, this practical text presents various bioinformatics topics and problems within a scientific methodology that emphasizes nature (the source of empirical observations), science (the mathematical modeling of the natural process), and computation (the science of calculating predictions and mathematical objects based on mathematical models).

Algorithms in Bioinformatics

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Author :
Publisher : Springer
ISBN 13 : 364233122X
Total Pages : 454 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Algorithms in Bioinformatics by : Ben Raphael

Download or read book Algorithms in Bioinformatics written by Ben Raphael and published by Springer. This book was released on 2012-08-29 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 12th International Workshop on Algorithms in Bioinformatics, WABI 2012, held in Ljubljana, Slovenia, in September 2012. WABI 2012 is one of six workshops which, along with the European Symposium on Algorithms (ESA), constitute the ALGO annual meeting and focuses on algorithmic advances in bioinformatics, computational biology, and systems biology with a particular emphasis on discrete algorithms and machine-learning methods that address important problems in molecular biology. The 35 full papers presented were carefully reviewed and selected from 92 submissions. The papers include algorithms for a variety of biological problems including phylogeny, DNA and RNA sequencing and analysis, protein structure, and others.

Handbook of Computational Molecular Biology

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Publisher : CRC Press
ISBN 13 : 1420036270
Total Pages : 1108 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Handbook of Computational Molecular Biology by : Srinivas Aluru

Download or read book Handbook of Computational Molecular Biology written by Srinivas Aluru and published by CRC Press. This book was released on 2005-12-21 with total page 1108 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 of

Computational Molecular Biology An Algorithmic Approach

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Author :
Publisher :
ISBN 13 : 9788120325500
Total Pages : 332 pages
Book Rating : 4.3/5 (255 download)

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Book Synopsis Computational Molecular Biology An Algorithmic Approach by : Pavel A. Pevzner

Download or read book Computational Molecular Biology An Algorithmic Approach written by Pavel A. Pevzner and published by . This book was released on 2004 with total page 332 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Algorithms in Bioinformatics

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Author :
Publisher : Springer Science & Business Media
ISBN 13 : 3540442111
Total Pages : 564 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Algorithms in Bioinformatics by : Roderic Guigo

Download or read book Algorithms in Bioinformatics written by Roderic Guigo and published by Springer Science & Business Media. This book was released on 2002-09-02 with total page 564 pages. Available in PDF, EPUB and Kindle. Book excerpt: We are pleased to present the proceedings of the Second Workshop on Al- rithms in Bioinformatics (WABI 2002), which took place on September 17-21, 2002 in Rome, Italy. The WABI workshop was part of a three-conference me- ing, which, in addition to WABI, included the ESA and APPROX 2002. The three conferences are jointly called ALGO 2002, and were hosted by the F- ulty of Engineering, University of Rome “La Sapienza”. Seehttp://www.dis. uniroma1.it/ ̃algo02 for more details. The Workshop on Algorithms in Bioinformatics covers research in all areas of algorithmic work in bioinformatics and computational biology. The emphasis is on discrete algorithms that address important problems in molecular biology, genomics,andgenetics,thatarefoundedonsoundmodels,thatarecomputati- ally e?cient, and that have been implemented and tested in simulations and on real datasets. The goal is to present recent research results, including signi?cant work in progress, and to identify and explore directions of future research. Original research papers (including signi?cant work in progress) or sta- of-the-art surveys were solicited on all aspects of algorithms in bioinformatics, including, but not limited to: exact and approximate algorithms for genomics, genetics, sequence analysis, gene and signal recognition, alignment, molecular evolution, phylogenetics, structure determination or prediction, gene expression and gene networks, proteomics, functional genomics, and drug design.

Algorithms in Bioinformatics

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Author :
Publisher : Springer
ISBN 13 : 3642042414
Total Pages : 430 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Algorithms in Bioinformatics by : Steven L. Salzberg

Download or read book Algorithms in Bioinformatics written by Steven L. Salzberg and published by Springer. This book was released on 2009-09-19 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: These proceedings contain papers from the 2009 Workshop on Algorithms in Bioinformatics (WABI), held at the University of Pennsylvania in Philadelphia, Pennsylvania during September 12–13, 2009. WABI 2009 was the ninth annual conference in this series, which focuses on novel algorithms that address imp- tantproblemsingenomics,molecularbiology,andevolution.Theconference- phasizes research that describes computationally e?cient algorithms and data structures that have been implemented and tested in simulations and on real data. WABI is sponsored by the European Association for Theoretical C- puter Science (EATCS) and the International Society for Computational Bi- ogy (ISCB). WABI 2009 was supported by the Penn Genome Frontiers Institute and the Penn Center for Bioinformatics at the University of Pennsylvania. For the 2009 conference, 90 full papers were submitted for review by the Program Committee, and from this strong ?eld of submissions, 34 papers were chosen for presentation at the conference and publication in the proceedings. The ?nal programcovered a wide range of topics including gene interaction n- works, molecular phylogeny, RNA and protein structure, and genome evolution.

Molecular Bioinformatics

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Author :
Publisher : Walter de Gruyter
ISBN 13 : 9783110141139
Total Pages : 324 pages
Book Rating : 4.1/5 (411 download)

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Book Synopsis Molecular Bioinformatics by : Steffen Schulze-Kremer

Download or read book Molecular Bioinformatics written by Steffen Schulze-Kremer and published by Walter de Gruyter. This book was released on 1996 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Bioinformatics Algorithms

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Publisher : John Wiley & Sons
ISBN 13 : 0470097736
Total Pages : 528 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Bioinformatics Algorithms by : Ion Mandoiu

Download or read book Bioinformatics Algorithms written by Ion Mandoiu and published by John Wiley & Sons. This book was released on 2008-02-25 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the role of algorithms in twenty-first-century bioinformatics education, Bioinformatics Algorithms covers: General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms Algorithms and tools for genome and sequence analysis, including formal and approximate models for gene clusters, advanced algorithms for non-overlapping local alignments and genome tilings, multiplex PCR primer set selection, and sequence/network motif finding Microarray design and analysis, including algorithms for microarray physical design, missing value imputation, and meta-analysis of gene expression data Algorithmic issues arising in the analysis of genetic variation across human population, including computational inference of haplotypes from genotype data and disease association search in case/control epidemiologic studies Algorithmic approaches in structural and systems biology, including topological and structural classification in biochemistry, and prediction of protein-protein and domain-domain interactions Each chapter begins with a self-contained introduction to a computational problem; continues with a brief review of the existing literature on the subject and an in-depth description of recent algorithmic and methodological developments; and concludes with a brief experimental study and a discussion of open research challenges. This clear and approachable presentation makes the book appropriate for researchers, practitioners, and graduate students alike.

Introduction to Protein Structure Prediction

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Publisher : John Wiley & Sons
ISBN 13 : 111809946X
Total Pages : 611 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Introduction to Protein Structure Prediction by : Huzefa Rangwala

Download or read book Introduction to Protein Structure Prediction written by Huzefa Rangwala and published by John Wiley & Sons. This book was released on 2011-03-16 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: A look at the methods and algorithms used to predict protein structure A thorough knowledge of the function and structure of proteins is critical for the advancement of biology and the life sciences as well as the development of better drugs, higher-yield crops, and even synthetic bio-fuels. To that end, this reference sheds light on the methods used for protein structure prediction and reveals the key applications of modeled structures. This indispensable book covers the applications of modeled protein structures and unravels the relationship between pure sequence information and three-dimensional structure, which continues to be one of the greatest challenges in molecular biology. With this resource, readers will find an all-encompassing examination of the problems, methods, tools, servers, databases, and applications of protein structure prediction and they will acquire unique insight into the future applications of the modeled protein structures. The book begins with a thorough introduction to the protein structure prediction problem and is divided into four themes: a background on structure prediction, the prediction of structural elements, tertiary structure prediction, and functional insights. Within those four sections, the following topics are covered: Databases and resources that are commonly used for protein structure prediction The structure prediction flagship assessment (CASP) and the protein structure initiative (PSI) Definitions of recurring substructures and the computational approaches used for solving sequence problems Difficulties with contact map prediction and how sophisticated machine learning methods can solve those problems Structure prediction methods that rely on homology modeling, threading, and fragment assembly Hybrid methods that achieve high-resolution protein structures Parts of the protein structure that may be conserved and used to interact with other biomolecules How the loop prediction problem can be used for refinement of the modeled structures The computational model that detects the differences between protein structure and its modeled mutant Whether working in the field of bioinformatics or molecular biology research or taking courses in protein modeling, readers will find the content in this book invaluable.

Computational Molecular Biology

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Publisher : Wiley
ISBN 13 : 9780471872528
Total Pages : 304 pages
Book Rating : 4.8/5 (725 download)

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Book Synopsis Computational Molecular Biology by : Peter Clote

Download or read book Computational Molecular Biology written by Peter Clote and published by Wiley. This book was released on 2000-10-03 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recently molecular biology has undergone unprecedented development generating vast quantities of data needing sophisticated computational methods for analysis, processing and archiving. This requirement has given birth to the truly interdisciplinary field of computational biology, or bioinformatics, a subject reliant on both theoretical and practical contributions from statistics, mathematics, computer science and biology. * Provides the background mathematics required to understand why certain algorithms work * Guides the reader through probability theory, entropy and combinatorial optimization * In-depth coverage of molecular biology and protein structure prediction * Includes several less familiar algorithms such as DNA segmentation, quartet puzzling and DNA strand separation prediction * Includes class tested exercises useful for self-study * Source code of programs available on a Web site Primarily aimed at advanced undergraduate and graduate students from bioinformatics, computer science, statistics, mathematics and the biological sciences, this text will also interest researchers from these fields.

Research in Computational Molecular Biology

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Publisher : Springer
ISBN 13 : 3642371957
Total Pages : 346 pages
Book Rating : 4.6/5 (423 download)

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Book Synopsis Research in Computational Molecular Biology by : Minghua Deng

Download or read book Research in Computational Molecular Biology written by Minghua Deng and published by Springer. This book was released on 2013-03-12 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 17th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2013, held in Beijing, China, in April 2013. The 32 revised full papers were carefully reviewed and selected from 167 submissions. The papers cover a wide range of topics including molecular sequence analysis; genes and regulatory elements; molecular evolution; gene expression; biological networks; sequencing and genotyping technologies; genomics; epigenomics; metagenomics; population, statistical genetics; systems biology; computational proteomics; computational structural biology; imaging; large-scale data management.

Models and Algorithms for Biomolecules and Molecular Networks

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Publisher : John Wiley & Sons
ISBN 13 : 0470601930
Total Pages : 260 pages
Book Rating : 4.4/5 (76 download)

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Book Synopsis Models and Algorithms for Biomolecules and Molecular Networks by : Bhaskar DasGupta

Download or read book Models and Algorithms for Biomolecules and Molecular Networks written by Bhaskar DasGupta and published by John Wiley & Sons. This book was released on 2016-01-26 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: By providing expositions to modeling principles, theories, computational solutions, and open problems, this reference presents a full scope on relevant biological phenomena, modeling frameworks, technical challenges, and algorithms. Up-to-date developments of structures of biomolecules, systems biology, advanced models, and algorithms Sampling techniques for estimating evolutionary rates and generating molecular structures Accurate computation of probability landscape of stochastic networks, solving discrete chemical master equations End-of-chapter exercises

Algorithms on Strings, Trees and Sequences

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Publisher : Cambridge University Press
ISBN 13 : 1139811002
Total Pages : pages
Book Rating : 4.1/5 (398 download)

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Book Synopsis Algorithms on Strings, Trees and Sequences by : Dan Gusfield

Download or read book Algorithms on Strings, Trees and Sequences written by Dan Gusfield and published by Cambridge University Press. This book was released on 1997-05-28 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: String algorithms are a traditional area of study in computer science. In recent years their importance has grown dramatically with the huge increase of electronically stored text and of molecular sequence data (DNA or protein sequences) produced by various genome projects. This 1997 book is a general text on computer algorithms for string processing. In addition to pure computer science, the book contains extensive discussions on biological problems that are cast as string problems, and on methods developed to solve them. It emphasises the fundamental ideas and techniques central to today's applications. New approaches to this complex material simplify methods that up to now have been for the specialist alone. With over 400 exercises to reinforce the material and develop additional topics, the book is suitable as a text for graduate or advanced undergraduate students in computer science, computational biology, or bio-informatics. Its discussion of current algorithms and techniques also makes it a reference for professionals.

Research in Computational Molecular Biology

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Publisher : Springer
ISBN 13 : 3319167065
Total Pages : 368 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Research in Computational Molecular Biology by : Teresa M. Przytycka

Download or read book Research in Computational Molecular Biology written by Teresa M. Przytycka and published by Springer. This book was released on 2015-03-25 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 19th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2015, held in Warsaw, Poland, in April 2015. The 36 extended abstracts were carefully reviewed and selected from 170 submissions. They report on original research in all areas of computational molecular biology and bioinformatics.