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Author:
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 1064
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Book Description
Author:
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 1064
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Book Description
Author: Otto Kinne
Publisher:
ISBN:
Category : Animals
Languages : en
Pages : 592
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Book Description
Author: Paul R. Carey
Publisher: Elsevier
ISBN: 0080539971
Category : Science
Languages : en
Pages : 379
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Book Description
The design and production of novel peptides and proteins occupy pivotal positions in science and technology and will continue to do so in the 21st century. Protein Engineering and Design outlines the rapid advances in computer-based modeling, protein engineering, and methods needed for protein and peptide preparation and characterization. This indispensable reference lays the groundwork for understanding this multidisciplinary activity while providing an introduction for researchers and students to the field of protein design. - Introduces and defines the techniques involved in protein engineering and design - Provides a concise overview of key technologies involved and demonstrates their contributions to the specialized design and production of novel proteins and peptides
Author: David Riaño
Publisher: Springer
ISBN: 303021642X
Category : Computers
Languages : en
Pages : 431
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Book Description
This book constitutes the refereed proceedings of the 17th Conference on Artificial Intelligence in Medicine, AIME 2019, held in Poznan, Poland, in June 2019. The 22 revised full and 31 short papers presented were carefully reviewed and selected from 134 submissions. The papers are organized in the following topical sections: deep learning; simulation; knowledge representation; probabilistic models; behavior monitoring; clustering, natural language processing, and decision support; feature selection; image processing; general machine learning; and unsupervised learning.
Author: Brian Munsky
Publisher: MIT Press
ISBN: 0262347113
Category : Science
Languages : en
Pages : 729
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Book Description
An introduction to the quantitative modeling of biological processes, presenting modeling approaches, methodology, practical algorithms, software tools, and examples of current research. The quantitative modeling of biological processes promises to expand biological research from a science of observation and discovery to one of rigorous prediction and quantitative analysis. The rapidly growing field of quantitative biology seeks to use biology's emerging technological and computational capabilities to model biological processes. This textbook offers an introduction to the theory, methods, and tools of quantitative biology. The book first introduces the foundations of biological modeling, focusing on some of the most widely used formalisms. It then presents essential methodology for model-guided analyses of biological data, covering such methods as network reconstruction, uncertainty quantification, and experimental design; practical algorithms and software packages for modeling biological systems; and specific examples of current quantitative biology research and related specialized methods. Most chapters offer problems, progressing from simple to complex, that test the reader's mastery of such key techniques as deterministic and stochastic simulations and data analysis. Many chapters include snippets of code that can be used to recreate analyses and generate figures related to the text. Examples are presented in the three popular computing languages: Matlab, R, and Python. A variety of online resources supplement the the text. The editors are long-time organizers of the Annual q-bio Summer School, which was founded in 2007. Through the school, the editors have helped to train more than 400 visiting students in Los Alamos, NM, Santa Fe, NM, San Diego, CA, Albuquerque, NM, and Fort Collins, CO. This book is inspired by the school's curricula, and most of the contributors have participated in the school as students, lecturers, or both. Contributors John H. Abel, Roberto Bertolusso, Daniela Besozzi, Michael L. Blinov, Clive G. Bowsher, Fiona A. Chandra, Paolo Cazzaniga, Bryan C. Daniels, Bernie J. Daigle, Jr., Maciej Dobrzynski, Jonathan P. Doye, Brian Drawert, Sean Fancer, Gareth W. Fearnley, Dirk Fey, Zachary Fox, Ramon Grima, Andreas Hellander, Stefan Hellander, David Hofmann, Damian Hernandez, William S. Hlavacek, Jianjun Huang, Tomasz Jetka, Dongya Jia, Mohit Kumar Jolly, Boris N. Kholodenko, Markek Kimmel, Michał Komorowski, Ganhui Lan, Heeseob Lee, Herbert Levine, Leslie M Loew, Jason G. Lomnitz, Ard A. Louis, Grant Lythe, Carmen Molina-París, Ion I. Moraru, Andrew Mugler, Brian Munsky, Joe Natale, Ilya Nemenman, Karol Nienałtowski, Marco S. Nobile, Maria Nowicka, Sarah Olson, Alan S. Perelson, Linda R. Petzold, Sreenivasan Ponnambalam, Arya Pourzanjani, Ruy M. Ribeiro, William Raymond, William Raymond, Herbert M. Sauro, Michael A. Savageau, Abhyudai Singh, James C. Schaff, Boris M. Slepchenko, Thomas R. Sokolowski, Petr Šulc, Andrea Tangherloni, Pieter Rein ten Wolde, Philipp Thomas, Karen Tkach Tuzman, Lev S. Tsimring, Dan Vasilescu, Margaritis Voliotis, Lisa Weber
Author: D. Grahame Hardie
Publisher:
ISBN:
Category : Protein kinases
Languages : en
Pages : 264
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Book Description
How do you keep track of basic information on the proteins you work with? Where do you find details of their physicochemical properties, amino acid sequences, gene organization? Are you tired of scanning review articles, primary papers and databases to locate that elusive fact?The Academic Press FactsBook series will satisfy scientists and clinical researchers suffering from information overload. Each volume provides a catalogue of the essential properties of families of molecules. Gene organization, amino acid sequences, physicochemical properties, and biological activity are presented using a common, easy to follow format. Taken together they compile everything you wanted to know about proteins but were too busy to look for. The Protein Kinase FactsBook: Protein - Tyrosine Kinases contains over 130 entries on members of the family from vertebrates, " Drosophila" , higher plants, yeasts, nematodes, slime moulds and other organisms. Key Features* Subunit structure and isoforms* Genetics* Sequence database accession numbers* Domain structures* Amino acid sequences* Homologues in other species* Patterns of expression* Physiological substrates and specificity determinants* Assays* Enzyme activators and inhibitors* References.
Author: J. A. Bryant
Publisher: WIT Press
ISBN: 1853128538
Category : Science
Languages : en
Pages : 513
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Book Description
Highlighted with individual contributions from eminent specialists, these multiauthored volumes combine authority, inspiration and state-of-the-art knowledge. Both informative and inspiring they are designed to appeal to scientists and interested laypeople alike. Volume 2 complements and extends the scope of the first, with the biological viewpoint being stressed. Following an introductory chapter on design as understood in biology, the various aspects of the biological information revolution are addressed. Areas discussed include molecular structure, the genome, development, and neural networks. A section on information theory provides a link with engineering, and the scope is also broadened to include the implications of motion in nature and engineering.
Author: David K. Yeates
Publisher: Columbia University Press
ISBN: 0231501706
Category : Science
Languages : en
Pages : 441
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Book Description
Flies (Dipteria) have had an important role in deepening scientists'understanding of modern biology and evolution. The study of flies has figured prominently in major advances in the fields of molecular evolution, physiology, genetics, phylogenetics, and ecology over the last century. This volume, with contributions from top scientists and scholars in the field, brings together diverse aspects of research and will be essential reading for entomologists and fly researchers.
Author: L. Joseph Su
Publisher: Springer
ISBN: 1447166787
Category : Medical
Languages : en
Pages : 327
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Book Description
This book examines the toxicological and health implications of environmental epigenetics and provides knowledge through an interdisciplinary approach. Included in this volume are chapters outlining various environmental risk factors such as phthalates and dietary components, life states such as pregnancy and ageing, hormonal and metabolic considerations and specific disease risks such as cancer cardiovascular diseases and other non-communicable diseases. Environmental Epigenetics imparts integrative knowledge of the science of epigenetics and the issues raised in environmental epidemiology. This book is intended to serve both as a reference compendium on environmental epigenetics for scientists in academia, industry and laboratories and as a textbook for graduate level environmental health courses. Environmental Epigenetics imparts integrative knowledge of the science of epigenetics and the issues raised in environmental epidemiology. This book is intended to serve both as a reference compendium on environmental epigenetics for scientists in academia, industry and laboratories and as a textbook for graduate level environmental health courses.
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309147824
Category : Computers
Languages : en
Pages : 179
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Book Description
As digital technologies are expanding the power and reach of research, they are also raising complex issues. These include complications in ensuring the validity of research data; standards that do not keep pace with the high rate of innovation; restrictions on data sharing that reduce the ability of researchers to verify results and build on previous research; and huge increases in the amount of data being generated, creating severe challenges in preserving that data for long-term use. Ensuring the Integrity, Accessibility, and Stewardship of Research Data in the Digital Age examines the consequences of the changes affecting research data with respect to three issues - integrity, accessibility, and stewardship-and finds a need for a new approach to the design and the management of research projects. The report recommends that all researchers receive appropriate training in the management of research data, and calls on researchers to make all research data, methods, and other information underlying results publicly accessible in a timely manner. The book also sees the stewardship of research data as a critical long-term task for the research enterprise and its stakeholders. Individual researchers, research institutions, research sponsors, professional societies, and journals involved in scientific, engineering, and medical research will find this book an essential guide to the principles affecting research data in the digital age.
