AUB ScholarWorks

A pattern recognition based model for characterizing and predicting glucose-binding sites - [by] Houssam Georges Nassif

Show simple item record

dc.contributor.author Nassif, Houssam Georges
dc.date.accessioned 2012-06-13T07:09:45Z
dc.date.available 2012-06-13T07:09:45Z
dc.date.issued 2006
dc.identifier.uri http://hdl.handle.net/10938/7179
dc.description Thesis (M.S.)--American University of Beirut, Dept. of Computer Science, 2006.;"Advisor: Dr. Walid Keyrouz, Assistant Professor, Computer Science--Member of Committee: Dr. Chiraz Benabdelkader, Assistant Professor, Computer Science--Member of Committee: D
dc.description Bibliography: leaves 85-90.
dc.description.abstract Glucoses are single-unit sugars that play essential roles in many biochemical pa thways within the cell. To realize these roles, glucose binds to protein molecul es at specific binding sites. The biochemical process by which the glucose or an y other liga
dc.format.extent xii, 90 leaves : ill. 30 cm.
dc.language.iso eng
dc.relation.ispartof Theses, Dissertations, and Projects
dc.subject.classification T:004812 AUBNO
dc.subject.lcsh Pattern perception
dc.subject.lcsh Artificial intelligence
dc.subject.lcsh Machine learning
dc.subject.lcsh Glucose
dc.title A pattern recognition based model for characterizing and predicting glucose-binding sites - [by] Houssam Georges Nassif
dc.type Thesis
dc.contributor.department American University of Beirut. Faculty of Arts and Sciences. Department of Computer Science


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search AUB ScholarWorks


Browse

My Account