Download or read book Computational Methods in Protein Evolution written by Tobias Sikosek and published by . This book was released on 2019 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Computational Methods in Protein Evolution written by Tobias Sikosek and published by Humana. This book was released on 2018-10-09 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a diverse collection of methodologies used to study various problems at the protein sequence and structure level. The chapters in this book look at issues ranging from broad concepts like protein space to specifics like antibody modeling. Topics include point mutations, gene duplication, de novo emergence of new genes, pairwise correlated mutations, ancestral protein reconstruction, homology modelling, protein stability and dynamics, and protein-protein interactions. The book also covers a wide range of computational approaches, including sequence and structure alignments, phylogenies, physics-based and mathematical approaches, machine learning, and more. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and prerequisites, step-by-step, readily reproducible computational protocols (using command line or graphical user interfaces, sometimes including computer code), and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and authoritative, Computational Methods in Protein Evolution is a valuable resource that offers useful workflows and techniques that will help both novice and expert researchers working with proteins computationally.
Download or read book Sequence Evolution Function written by Eugene V. Koonin and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sequence - Evolution - Function is an introduction to the computational approaches that play a critical role in the emerging new branch of biology known as functional genomics. The book provides the reader with an understanding of the principles and approaches of functional genomics and of the potential and limitations of computational and experimental approaches to genome analysis. Sequence - Evolution - Function should help bridge the "digital divide" between biologists and computer scientists, allowing biologists to better grasp the peculiarities of the emerging field of Genome Biology and to learn how to benefit from the enormous amount of sequence data available in the public databases. The book is non-technical with respect to the computer methods for genome analysis and discusses these methods from the user's viewpoint, without addressing mathematical and algorithmic details. Prior practical familiarity with the basic methods for sequence analysis is a major advantage, but a reader without such experience will be able to use the book as an introduction to these methods. This book is perfect for introductory level courses in computational methods for comparative and functional genomics.
Download or read book Computational Methods for Protein Structure Prediction and Modeling written by Ying Xu and published by Springer Science & Business Media. This book was released on 2007-08-24 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume One of this two-volume sequence focuses on the basic characterization of known protein structures, and structure prediction from protein sequence information. Eleven chapters survey of the field, covering key topics in modeling, force fields, classification, computational methods, and structure prediction. Each chapter is a self contained review covering definition of the problem and historical perspective; mathematical formulation; computational methods and algorithms; performance results; existing software; strengths, pitfalls, challenges, and future research.
Download or read book Computational Methods for Protein Structure Prediction and Modeling written by Ying Xu and published by Springer Science & Business Media. This book was released on 2010-05-05 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume Two of this two-volume sequence presents a comprehensive overview of protein structure prediction methods and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem. A series of appendices review the biological and chemical basics related to protein structure, computer science for structural informatics, and prerequisite mathematics and statistics.
Download or read book Practical Bioinformatics written by Janusz M. Bujnicki and published by Springer. This book was released on 2007-09-12 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents applications of bioinformatics tools that experimental research scientists use in "daily practice." Its interdisciplinary approach combines computational and experimental methods to solve scientific problems. The book begins with reviews of computational methods for protein sequence-structure-function analysis, followed by methods that use experimental data obtained in the laboratory to improve functional predictions.
Download or read book Computational Molecular Evolution written by Ziheng Yang and published by Oxford University Press, USA. This book was released on 2006-10-05 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Computational Approaches to Protein Dynamics written by Monika Fuxreiter and published by CRC Press. This book was released on 2014-12-24 with total page 458 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Latest Developments on the Role of Dynamics in Protein FunctionsComputational Approaches to Protein Dynamics: From Quantum to Coarse-Grained Methods presents modern biomolecular computational techniques that address protein flexibility/dynamics at all levels of theory. An international contingent of leading researchers in chemistry, physics, an
Download or read book Protein Engineering written by Huimin Zhao and published by John Wiley & Sons. This book was released on 2021-08-23 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: A one-stop reference that reviews protein design strategies to applications in industrial and medical biotechnology Protein Engineering: Tools and Applications is a comprehensive resource that offers a systematic and comprehensive review of the most recent advances in the field, and contains detailed information on the methodologies and strategies behind these approaches. The authors—noted experts on the topic—explore the distinctive advantages and disadvantages of the presented methodologies and strategies in a targeted and focused manner that allows for the adaptation and implementation of the strategies for new applications. The book contains information on the directed evolution, rational design, and semi-rational design of proteins and offers a review of the most recent applications in industrial and medical biotechnology. This important book: Covers technologies and methodologies used in protein engineering Includes the strategies behind the approaches, designed to help with the adaptation and implementation of these strategies for new applications Offers a comprehensive and thorough treatment of protein engineering from primary strategies to applications in industrial and medical biotechnology Presents cutting edge advances in the continuously evolving field of protein engineering Written for students and professionals of bioengineering, biotechnology, biochemistry, Protein Engineering: Tools and Applications offers an essential resource to the design strategies in protein engineering and reviews recent applications.
Download or read book Protein Engineering Protocols written by Kristian Müller and published by Springer Science & Business Media. This book was released on 2007-10-26 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Protein engineering is a fascinating mixture of molecular biology, protein structure analysis, computation, and biochemistry, with the goal of developing useful or valuable proteins. Protein Engineering Protocols will consider the two general, but not mutually exclusive, strategies for protein engineering. The first is known as rational design, in which the scientist uses detailed knowledge of the structure and function of the protein to make desired changes. The s- ond strategy is known as directed evolution. In this case, random mutagenesis is applied to a protein, and selection or screening is used to pick out variants that have the desired qualities. By several rounds of mutation and selection, this method mimics natural evolution. An additional technique known as DNA shuffling mixes and matches pieces of successful variants to produce better results. This process mimics recombination that occurs naturally during sexual reproduction. The first section of Protein Engineering Protocols describes rational p- tein design strategies, including computational methods, the use of non-natural amino acids to expand the biological alphabet, as well as impressive examples for the generation of proteins with novel characteristics. Although procedures for the introduction of mutations have become routine, predicting and und- standing the effects of these mutations can be very challenging and requires profound knowledge of the system as well as protein structures in general.
Download or read book Protein Evolution written by Laszlo Patthy and published by John Wiley & Sons. This book was released on 2009-03-12 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an up-to-date summary of the principles of protein evolution and discusses both the methods available to analyze the evolutionary history of proteins as well as those for predicting their structure-function relationships. Includes a significantly expanded chapter on genome evolution to cover genomes of model organisms sequenced since the completion of the first edition, and organelle genome evolution Retains its reader-friendly, accessible style and organization Contains an updated glossary and new references, including a list of online reference sites
Download or read book Computational Methods for Protein Structure Prediction and Modeling written by Ying Xu and published by Springer. This book was released on 2010-12-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume Two of this two-volume sequence presents a comprehensive overview of protein structure prediction methods and includes protein threading, De novo methods, applications to membrane proteins and protein complexes, structure-based drug design, as well as structure prediction as a systems problem. A series of appendices review the biological and chemical basics related to protein structure, computer science for structural informatics, and prerequisite mathematics and statistics.
Download or read book Computational Protein Design written by Ilan Samish and published by Humana. This book was released on 2016-12-03 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The aim this volume is to present the methods, challenges, software, and applications of this widespread and yet still evolving and maturing field. Computational Protein Design, the first book with this title, guides readers through computational protein design approaches, software and tailored solutions to specific case-study targets. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Protein Design aims to ensure successful results in the further study of this vital field.
Download or read book A Computational Method to Explore the Time Evolution of Protein Cavities written by Matthew Graham Lopez and published by . This book was released on 2008 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Evolutionarily Motivated Computational Methods for Analysis of Protein Sequences written by Orkun S. Soyer and published by . This book was released on 2004 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modeling the Effects of Site specific Amino acid Preferences on Protein Evolution written by Sarah Kelley Hilton and published by . This book was released on 2020 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: An important goal in the study of protein evolution is understanding which genetic changes that fixed in nature were selected for and why. However, understanding the functional consequence of any given mutation is a challenge because the effects of amino-acid changes are highly idiosyncratic across sites in a protein. My graduate research has focused on developing computational tools and methods that integrate two existing methods, phylogenetics and deep mutational scanning, to understand the effect of site-specific amino-acid constraint on protein evolution. These two methods, one computational and one experimental, have complementary strengths and weaknesses. Phylogenetics provides methods to study natural sequences, which are subjected to natural selective pressures, in a principled manner; however, these methods are constrained to the genetic sequences we have sampled. Deep mutational scanning allows for the unbiased measurement of all single amino-acid changes to a protein, but the assay occurs in an artificial laboratory setting. The goal of my work is to leverage the strengths of each method, the comprehensiveness of the deep mutational scan with the realism of comparative sequence analysis, for a more complete and accurate understanding of site-specific protein constraint. In Chapter 2, I develop a web-based visualization tool, \texttt{dms-view}, for interactive exploration of deep mutational scanning experiments. \texttt{dms-view} addresses common analysis challenges by allowing the user to easily and iteratively view site-level summary metrics, individual mutation measurements, and the 3-D protein structure for site(s) of interest from a deep mutational scan. \texttt{dms-view} is a flexible tool that allows the user to explore the site-specific amino-acid preferences measured by a given deep mutational alongside external datasets, such as site-specific amino-acid frequencies observed in nature. While tools like \texttt{dms-view} allow for qualitative comparison of natural selection and selection in the lab, more sophisticated methods are needed to make this comparison while account for sequencing sampling and shared evolutionary history. To this end, in Chapter 3, I implement a relatively new family of phylogenetic substitution models called Experimentally Informed Codon Models (ExpCMs) in a new Python software package called \texttt{phydms}. ExpCMs describe the selection on amino-acid changes using the empirical measurements from a deep mutational scan and therefore represent a bridge between selection in the laboratory and selection in nature. \texttt{phydms} implements the models in maximum-likelihood framework and includes auxiliary command line tools to facilitate fast and easy analysis. In Chapter 4, I investigate the effect of the site-specific ExpCMs with empirical measurements on phylogenetic inference, specifically branch length estimation. A long-standing observation in phylogenetics is that long branches in phylogenetic trees are consistently underestimated. I found that site-specific ExpCMs estimated longer branches than a common site-uniform codon model but that this extension in branch length was limited by intraprotein epistasis. This work suggests that current phylogenetic models assumptions of independent evolution between sites and identical evolution among sites results inaccurate branch length estimation. Overall, my graduate work has produced general computational methods and tools that integrate empirical measurements of site-specific amino-acid constraint with comparative sequence analysis to create a more complete picture of protein evolution.
Download or read book Computational Molecular Evolution written by Ziheng Yang and published by OUP Oxford. This book was released on 2006-10-05 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of molecular evolution has experienced explosive growth in recent years due to the rapid accumulation of genetic sequence data, continuous improvements to computer hardware and software, and the development of sophisticated analytical methods. The increasing availability of large genomic data sets requires powerful statistical methods to analyse and interpret them, generating both computational and conceptual challenges for the field. Computational Molecular Evolution provides an up-to-date and comprehensive coverage of modern statistical and computational methods used in molecular evolutionary analysis, such as maximum likelihood and Bayesian statistics. Yang 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. The book emphasizes essential concepts rather than mathematical proofs. It includes detailed derivations and implementation details, as well as numerous illustrations, worked examples, and exercises. It will be of relevance and use to students and professional researchers (both empiricists and theoreticians) in the fields of molecular phylogenetics, evolutionary biology, population genetics, mathematics, statistics and computer science. Biologists who have used phylogenetic software programs to analyze their own data will find the book particularly rewarding, although it should appeal to anyone seeking an authoritative overview of this exciting area of computational biology.
