Chris Bystroff (35 results)

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

hardcover. Condition: Good. Ex- library copy with stamps and stickers.

Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.

Condition: New. pp. 352 2nd Edition.

Condition: New. pp. 352 52:B&W 6.14 x 9.21in or 234 x 156mm (Royal 8vo) Case Laminate on White w/Gloss Lam.

Condition: New. pp. 352.

Condition: New. In English.

Condition: New.

Condition: New.

Condition: New. In English.

Condition: New. This book covers elements of both the data-driven comparative modeling approach to structure prediction and also recent attempts to simulate folding using explicit or simplified models. It focuses on the various computational methods for prediction. Editor(s): Zaki, Mohammed J.; Bystroff, Chris. Series: Methods in Molecular Biology. Num Pages: 337 pages, 69 black & white illustrations, biography. BIC Classification: PSBC. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 18. Weight in Grams: 494. . 2010. 2nd ed. Softcover of orig. ed. 2008. Paperback. . . . . …

Condition: New. This book covers elements of both the data-driven comparative modeling approach to structure prediction and also recent attempts to simulate folding using explicit or simplified models. It focuses on the various computational methods for prediction. Editor(s): Zaki, Mohammed J. (Rensselaer Polytechnic Institute); Bystroff, Chris. Series: Methods in Molecular Biology. Num Pages: 337 pages, 69 black & white illustrations, biography. BIC Classification: PSBC. Category: (P) Professional & Vocational. Dimension: 231 x 158 x 27. Weight in Grams: 672. . 2007. 2nd ed. 2008. Hardback. . . . . …

Condition: New. pp. 352 2nd Edition.

Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Hardcover. Condition: Brand New. 2nd edition. 337 pages. 9.00x6.25x1.00 inches. In Stock.

Hardcover. Condition: New Books. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability. …

Condition: New. This book covers elements of both the data-driven comparative modeling approach to structure prediction and also recent attempts to simulate folding using explicit or simplified models. It focuses on the various computational methods for prediction. Editor(s): Zaki, Mohammed J.; Bystroff, Chris. Series: Methods in Molecular Biology. Num Pages: 337 pages, 69 black & white illustrations, biography. BIC Classification: PSBC. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 18. Weight in Grams: 494. . 2010. 2nd ed. Softcover of orig. ed. 2008. Paperback. . . . . Books ship from the US and Ireland. …

Condition: New. This book covers elements of both the data-driven comparative modeling approach to structure prediction and also recent attempts to simulate folding using explicit or simplified models. It focuses on the various computational methods for prediction. Editor(s): Zaki, Mohammed J. (Rensselaer Polytechnic Institute); Bystroff, Chris. Series: Methods in Molecular Biology. Num Pages: 337 pages, 69 black & white illustrations, biography. BIC Classification: PSBC. Category: (P) Professional & Vocational. Dimension: 231 x 158 x 27. Weight in Grams: 672. . 2007. 2nd ed. 2008. Hardback. . . . . Books ship from the US and Ireland. …

Condition: As New. Unread book in perfect condition.

Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.

Condition: As New. Unread book in perfect condition.

Condition: new. Questo è un articolo print on demand.

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers elements of both the data-driven comparative modeling approach to structure prediction and also recent attempts to simulate folding using explicit or simplified models. Despite the unsolved mystery of how a protein folds, advances are being made in predicting the interactions of proteins with other molecules. Also rapidly advancing are the methods for solving the inverse folding problem, the problem of finding a sequence to fit a structure.This book focuses on the various computational methods for prediction, their successes and their limitations, from the perspective of their most well known practitioners. 352 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes cutting-edge techniques for prediction and accesses them from the perspective of their most well-known practitionersIncludes a comprehensive account of the history of protein structure predictionStep-by-step, readily reproducible .…

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes cutting-edge techniques for prediction and accesses them from the perspective of their most well-known practitionersIncludes a comprehensive account of the history of protein structure predictionStep-by-step, readily reproducible .…