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Biological Nanostructures and Applications of Nanostructures in Biology: Electrical, Mechanical, and Optical Properties

admin — Wed, 15 Aug 2007 15:50:00 +0000

Biological Nanostructures and Applications of Nanostructures in Biology: Electrical, Mechanical, and Optical Properties
Book Description
Biological Nanostructures and Applications of Nanostructures in Biology: Electrical, Mechanical, and Optical Properties contains reviews and discussions of contemporary and relevant topics dealing with the interface between the science and technology of nanostructures and the science of biology. Moreover, this book supplements these past groundbreaking discoveries with discussions of promising new avenues of research that reveal the enormous potential of emerging approaches in nanobiotechnology. The topics include:

- Biomedical applications of semiconductor quantum dots,

- Integrating and tagging biological structures with nanoscale quantum dots,

- Applications of carbon nanotubes in bioengineering,

- Nanophysical properties of living cells,

- Bridging natural nanotubes with fabricated nanotubes,

- Bioinspired approaches to building nanoscale devices and systems,

- Hairpin formation in polynucleotides.

This state-of-the-art survey of key developments in nanotechnology – as they apply to bioengineering and biology – is essential reading for all academics, biomedical engineers, medical physicists, and industry professionals wishing to take advantage of the latest developments and highly-promising discoveries in nanoscience underlying applications in bioengineering and biology.

Bioinformatics: Methods and Protocols (Methods in Molecular Biology)

admin — Wed, 15 Aug 2007 15:43:00 +0000

Bioinformatics: Methods and Protocols (Methods in Molecular Biology)
Book Description
Hands-on users and experts survey the key biological software packages, offering useful tips and an overview of current developments. Among the sequence analysis systems reviewed are GCG, Omiga, MacVector, DNASTAR, PepTool™, GeneTool™, and the Staden Package. Molecular biology software includes Genotator and sequence-similarity searching using FASTA, CLUSTAL multiple sequence alignment, and phylogenetic analysis. Web-based resources are examined for primary sequence databases, primary sequence analysis methods, and clinical databases useful in molecular medicine. Numerous illustrative examples to teach the reader how to solve problems are included. Bioinformatics: Methods and Protocols constitutes a gold-standard reference for today’s scientists who wish to develop and hone their bioinformatics skills towards the discovery of new biological relationships.

Computational Biochemistry and Biophysics

admin — Wed, 15 Aug 2007 15:40:00 +0000

Computational Biochemistry and Biophysics
First Sentence:
The first hints of the chemical basis of life were noted approximately 150 years ago.
Key Phrases – Statistically Improbable Phrases (SIPs):
standard geometry approximation, solvent boundary potential, dihedral parameters, comparative protein structure modeling, reaction field calculation, state dividing surface, biomolecular force fields, incorrect restraints, lowest frequency normal modes, pure solvent properties, explicit solvent representation, transition state surface, condensed phase simulations, umbrella potential, lipid polar groups, conformational energetics, unrestrained system, free energy simulations, membrane simulations, implicit solvent models, quantum region, ambiguous distance restraints, solvent representations, free energy derivative, dihedral angle space
Key Phrases – Capitalized Phrases (CAPs):
Chem Phys, Phys Chem, Mol Biol, Comput Chem, New York, Proc Natl Acad Sci, Monte Carlo, Protein Sci, Protein Eng, Biomol Struct Dyn, Comput Phys, Curr Opin Struct Biol, Med Chem, Chem Rev, Mot Biol, Chem Inf Comput Sci, Nature Struct Biol, Nucleic Acids Res, Struct Funct Genet, Phys Rev Lett, Academic Press, Cambridge Univ Press, Biol Chem, Mol Phys, Quart Rev Biophys

Bioinformatics Computing

admin — Wed, 15 Aug 2007 15:37:00 +0000

Bioinformatics Computing
Book Description

Bioinformatics Computing is a practical guide to computing in the growing field of Bioinformatics (the study of how information is represented and transmitted in biological systems, starting at the molecular level). This book brings life scientists at every level – from students to research directors – up to speed in computational techniques that apply directly to their work. The life science community needs a practical guide that illustrates the computer science advances that have been made in the past several decades in areas of computer visualization, large database designs, machine learning and other forms of advanced pattern matching, statistical methods, and distributed computing techniques. In addition to exploring general information technology issues, each chapter identifies technologies and approaches on the near horizon that will have a significant impact on bioinformatics, and introduces some of the global, societal issues that will likely define bioinformatics developments in the future.

Algebraic Statistics for Computational Biology

admin — Wed, 15 Aug 2007 15:34:00 +0000

Algebraic Statistics for Computational Biology

Basic Epidemiology

admin — Wed, 15 Aug 2007 15:19:00 +0000

Basic Epidemiology
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Artificial Intelligence and Molecular Biology

admin — Wed, 15 Aug 2007 15:11:00 +0000

Book Description
The enormous amount of data generated by the Human Genome Project and other large-scale biological research has created a rich and challenging domain for research in artificial intelligence. These original contributions provide a current sampling of AI approaches to problems of biological significance; they are the first to treat the computational needs of the biology community hand-in-hand with appropriate advances in artificial intelligence. Focusing on novel technologies and approaches, rather than on proven applications, they cover genetic sequence analysis, protein structure representation and prediction, automated data analysis aids, and simulation of biological systems. A brief introductory primer on molecular biology and Al gives computer scientists sufficient background to understand much of the biology discussed in the book.

Lawrence Hunter is Director of the Machine Learning Project at the National Library of Medicine, National Institutes of Health.

An Introduction to Genetic Algorithms

admin — Wed, 15 Aug 2007 15:10:00 +0000

his is the best general book on genetic algorithms written to date. It covers background, history, and motivation; it selects important, informative examples of applications and discusses the use of genetic algorithms in scientific models; and it gives a good account of the status of the theory of genetic algorithms. Best of all, the book presents its material in clear, straightforward, felicitous prose. –This text refers to an out of print or unavailable edition of this title.

Review
“This is a useful introduction to the subject and is well worth reading as an entry into evolutionary computing.”
– Chris Robbins, Computing

“An outstanding introduction to a new and important field of computer science.”
– Tim Watson, The Computer Journal

BIOPHYSICS 4TH EDITION

admin — Wed, 15 Aug 2007 14:51:00 +0000

Book Description
Biophysics – the science of physical principles of life itself, of biological systems – is presented here not merely as physics for biologists, but as an entirely independent subject with its own innate network of ideas and approaches. From the microscopic forces that constitute life, the intramolecular bonds and ionic interactions, to the macroscopic forces of the environment, temperature and pressure, the author presents and explains all aspects of life from a Biophysicist’s point of view. Exciting biological themes such as neuronal processing and differentiation as well as current medical and environmental topics are introduced from a surprising perspective in this imaginative new textbook.

Book Info
Humboldt-Universitat zu Berlin, Germany. Translation of the German title, Biophysik, 5th edition, c1999. Message is that biophysics is the science of physical principles underlying the ‘phenomenon life’ on all levels of organization. Regard physics as a defined discipline with its own network of ideas and approaches. For researchers.

Tutorials in Mathematical Biosciences

admin — Wed, 15 Aug 2007 14:29:00 +0000

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