Synopsis
Scientists developing prediction methods will find ideas here in descriptions of successful methods and programs in protein structure prediction. Chapters on concepts of protein structure prediction discuss areas such as a Bayesian approach to protein fold recognition, three-dimensional structure prediction using simplified structure models and Bayesian block fragments, and protein structure prediction using hidden Markov model structural libraries. Chapters on methods of structure and sequence alignment outline methods such as the PCONS consensus approach, and discuss new insights into protein fold space and sequence-structure relationships. Annotation c. Book News, Inc., Portland, OR (booknews.com)
"synopsis" may belong to another edition of this title.
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
"About this title" may belong to another edition of this title.