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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)
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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)
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- VerlagTBS The Book Service Ltd
- Erscheinungsdatum2002
- ISBN 10 096368177X
- ISBN 13 9780963681775
- EinbandTapa dura
- SpracheEnglisch
- Anzahl der Seiten520
- HerausgeberTsigelny Igor F.
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Protein Structure Prediction: Bioinformatic Approach
Verlag:
International University Line, 2002
ISBN 10: 096368177X
ISBN 13: 9780963681775
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Protein Structure Prediction: Bioinfomatic Approach (Iul Biotechnology, 3)
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hardcover. Zustand: Very Good. Very Good. book. Bestandsnummer des Verkäufers D8S0-3-M-096368177X-5
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