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Protein Structure Prediction: Bioinfomatic Approach (Iul Biotechnology, 3)
 
 
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Protein Structure Prediction: Bioinfomatic Approach (Iul Biotechnology, 3) [Hardcover]

I.F. Tsigelny (Author)

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Editorial Reviews

Review

...very timely book...A variety of programs and strategies is discussed, including new applications of HMM and novel Bayesian approaches -- Russell F. Doolittle, Professor, University of California San Diego

Most comprehensive book on protein structure prediction. Describes the main concepts in the field, concrete algorithms, programs and their webadresses. -- The Medical Bookstore

Presented some of the most important ideas, state-of-art methods in detecting, predicting protein's structure...High-quality text for graduate bioinformatic course. -- Breefings in Bioinformatics. Vol 5, 2, 207-210, 2004

You may find this book by I.F. Tsigelny useful. This is the Bible of all current prediction techniques. -- BioPlanet Bioinformatics Forums: posted on 2-6-2003

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Inside This Book (learn more)
First Sentence:
One of the key goals in the post-genome era is to characterized the gene products (proteins) obtained from large-scale genome sequencing efforts. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
multiple structure alignment, protein structure prediction servers, reliable protein fold recognition method, fold recognition servers, alignable residues, spectral envelop, protein fold space, neural network scores, fold recognition methods, sequence similarity term, detecting remote protein homologies, consensus predictor, query protein, decoy structures, fold recognition techniques, threading scores, annotation using structural profiles, building block assignment, threading results, threading alignment, spectral alignment, building block fragments, lipocalin fold, protein structure alignment, threading programs
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Mol Biol, Nucleic Acids Res, Protein Sci, Meta Server, Protein Eng, Proc Natl Acad Sci, Monte Carlo, San Diego, Nature Struct Biol, Ten Eyck, World Scientific, Curr Opin Struct Biol, University of California, Pac Symp Biocomput, New York, Santa Cruz, Comput Appl Biosci, Comput Biol, Del Carpio, Proc Nail Acad Sci, Trends Biochem Sci, Cambridge University Press, Color Plates Plate, Comparative Analysis of Protein Structure, Courtesy of Oxford University Press
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