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In these days of facile cloning and rapid DNA sequencing, it is not uncommon for investigators to find themselves with a DNA sequence that may or may not code for a known gene product. The sequence is 'open' when read in an appropriate frame, which is to say that there is a long run of amino acid codons before the appearance of a terminator codon. How can we find out if this 'unidentified reading frame' (URF) really codes for a genuine protein, and how can we identify it if it exists? There are two general strategies, both of which can also be applied to the characterization of any 'open reading frame' (ORF), whether or not it has been 'identified'. The first and simplest approach involves computer searching and analysis; the second employs antibodies raised against synthetic peptides patterned on the sequence of the expected gene product. Both methods have been used with great success by many investigators. Each has, nonetheless, its pitfalls and frustrations. This primer is meant to guide the researcher past those obstacles as much as possible. Graduate students and researchers interested in amino acid sequencing; molecular biologists, biochemists, chemists, and biotechnologists.
All living things are remarkably complex, yet their DNA is unstable, undergoing countless random mutations over generations. Despite this instability, most animals do not grow two heads or die, plants continue to thrive, and bacteria continue to divide. Robustness and Evolvability in Living Systems tackles this perplexing paradox. The book explores why genetic changes do not cause organisms to fail catastrophically and how evolution shapes organisms' robustness. Andreas Wagner looks at this problem from the ground up, starting with the alphabet of DNA, the genetic code, RNA, and protein molecules, moving on to genetic networks and embryonic development, and working his way up to whole organisms. He then develops an evolutionary explanation for robustness. Wagner shows how evolution by natural selection preferentially finds and favors robust solutions to the problems organisms face in surviving and reproducing. Such robustness, he argues, also enhances the potential for future evolutionary innovation. Wagner also argues that robustness has less to do with organisms having plenty of spare parts (the redundancy theory that has been popular) and more to do with the reality that mutations can change organisms in ways that do not substantively affect their fitness. Unparalleled in its field, this book offers the most detailed analysis available of all facets of robustness within organisms. It will appeal not only to biologists but also to engineers interested in the design of robust systems and to social scientists concerned with robustness in human communities and populations.
This book contains the proceedings of the first meeting on invertebrate immunity ever sponsored as a summer research conference by the Federation of American Societies for Experimental Biology (FASEB). The conference was held in Copper Mountain, CO from July 11-16, 1999. It was a an extension of a New York Academy of Sciences meeting entitled "Primordial Immunity: Foundations for the Vertebrate Immune System" held on May 2-5,1993 at the Marine Biological Laboratories in Woods Hole, MA. The proceedings of that meeting were published in The Annals of the New York Academy of Sciences (volume 712). At that meeting all the attendes agreed that this type of conference (a relatively small focused gathering) allowed for participation by investigators at all levels of their careers. We further agreed that we should search for a forum that would allow this meeting to continue. The FASEB Summer Research Conference was an excellent vehicle for this type of meeting. Furthermore, this year's participants decided to continue this meeting as a regularly scheduled FASEB sponsored event. This was a unique conference in the sense that it focused upon mechanisms of development and defense in protostome and deuterostome invertebrates and lower vertebrates. There was a strong emphasis on evolutionary cell biology, phylogenetic inferences and the evolution of recognition and regulatory systems.
Volume 6 of Biomembranes covers transmembrane receptors and channels. A particularly important role for the membrane is that of passing messages between a cell and its environment. Part I of this volume covers receptors for hormones and growth factors. Here, as in so many other areas of cell biology, the application of the methods of molecular biology have led to the recognition of a number of families of receptors. Typically, such receptors contain an extracellular ligand binding domain, a transmembrane domain, and an intracellular catalytic domain whose activation, as a result of ligand binding, leads to generation of second messengers within the cell and stimulation of a range of cytosolic enzymes. An alternative signaling strategy, exploited in particular in the nervous system, is to use ion channels to allow controlled movement of monovalent (Na+, K+) or divalent (Ca2+) cations in or out of the cell, resulting in changes in membrane potential or alterations in the intracellular concentration of Ca2+. Part II of this volume is concerned with these ion channels and with other, often simpler, ion channel systems whose study can throw light on channel mechanism.
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.
This collection contains papers by participants in the seminar on mathematical methods in molecular biology who worked for several years at the Laboratory of Molecular Biology and Bioorganic Chemistry (now the Institute of Physical and Chemical Problems in Biology) at Moscow State University. The seminar united mathematicians and biologists around the problems of biological sequences. The collection includes original results as well as expository material and spans a range of perspectives, from purely mathematical problems to algorithms and their computer realizations. For this reason, the book is of interest to mathematicians, statisticians, biologists, and computational scientists who work with biopolymer sequences.
Compared with data from general application domains, modern biological data has many unique characteristics. Biological data are often characterized as having large volumes, complex structures, high dimensionality, evolving biological concepts, and insufficient data modelling practices. Over the past several years, bioinformatics has become an all-encompassing term for everything relating to both computer science and biology. The goal of this book is to cover data and applications identifying new issues and directions for future research in biomedical domain. The book will become a useful guide learning state-of-the-art development in biomedical data management, data-intensive bioinformatics systems, and other miscellaneous biological database applications. The book addresses various topics in bioinformatics with varying degrees of balance between biomedical data models and their real-world applications.
In this book, first published in 1992, science librarians analyse the life and times of small liberal arts college science libraries and the workday life of librarians serving scientists from a main campus library. They describe their efforts to defend expensive science collections in the face of tight budgets, to singlehandedly monitor and select literature in all areas from astronomy through zoology, and to compete with the humanities and social studies for library shelf space.
The first Pacific Symposium on Biocomputing (PSB), will be held January 3-6, 1996 at the Ritz Carlton Hotel on the Big Island of Hawaii. PSB will bring together top researchers from North America, the Asian Pacific nations, Europe, and around the world, to exchange research results and address open issues in all aspects of computational biology. Replacing and extending the last three years of Biotechnology Computing Tracks at the Hawaiian International Conference on System Sciences, PSB will provide a forum for the presentation of work in databases, algorithms, interfaces, visualization, modelling and other computational methods, as applied to biological problems, with emphasis on applications in data-rich areas of molecular biology.The PSB is focussed into 4 tracks, 4 minitracks, 2 workshops and includes two invited keynote speakers, viz., Logical Simulation of Biomolecular Information Pathways (Minoru Kanehisa, Kyoto Univ.) and CEX and the Single Chemist (David Weimger, DAYLIGHT Chemical Info. Syst.)
The fields of molecular biology and genetics are faced with an enormous accumulation of information: DNA sequencing, associated sequences of amino acids in proteins, genetics, macromolecular structures and other sets have created a quantitative backlog of data which needs to be organized and analyzed. Moreover, the rate of data acquisitions is accelerating as improved technologies are used and as organized programs such as the Human Genome Initiative are established. Because of this data's importance, molecular biologists have turned to computational scientists for help in processing this mass of information.The Santa Fe Institute organized a workshop on "The Interface Between Computational Science and DNA Sequencing" in 1998 to address this information crisis. Approximately one hundred molecular biologists, computer scientists, mathematicians, and other scientists in diverse fields met to discuss how computational science can best keep pace with molecular biology. The papers presented at that meeting and included in this volume serve as a comprehensive introduction to the field and as a discussion of research on some of the current problems.