S
Sabry Razick
Researcher at University of Oslo
Publications - 8
Citations - 1189
Sabry Razick is an academic researcher from University of Oslo. The author has contributed to research in topics: Protein structure database & Gene. The author has an hindex of 8, co-authored 8 publications receiving 1128 citations. Previous affiliations of Sabry Razick include University of Toronto & Norwegian University of Science and Technology.
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iRefIndex: A consolidated protein interaction database with provenance
TL;DR: A unifying index that would facilitate searching for redundant interaction data and that would group together redundant interactionData while recording the methods used to perform this grouping is created.
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PSICQUIC and PSISCORE: accessing and scoring molecular interactions
Bruno Aranda,Hagen Blankenburg,Samuel Kerrien,Fiona S. L. Brinkman,Arnaud Ceol,Emilie Chautard,Jose M. Dana,Javier De Las Rivas,Marine Dumousseau,Eugenia Galeota,Anna Gaulton,Johannes B. Goll,Robert E. W. Hancock,Ruth Isserlin,Rafael C. Jimenez,Jules Kerssemakers,Jyoti Khadake,David J. Lynn,Magali Michaut,Gavin O'Kelly,Keiichiro Ono,Sandra Orchard,Carlos Prieto,Sabry Razick,Olga Rigina,Lukasz Salwinski,Milan Simonovic,Sameer Velankar,Andrew G. Winter,Guanming Wu,Gary D. Bader,Gianni Cesareni,Ian Donaldson,David Eisenberg,Gerard J. Kleywegt,John P. Overington,Sylvie Ricard-Blum,Mike Tyers,Mario Albrecht,Henning Hermjakob +39 more
TL;DR: To study proteins in the context of a cellular system, it is essential that the molecules with which a protein interacts are identified and the functional consequence of each interaction is understood.
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iRefWeb: interactive analysis of consolidated protein interaction data and their supporting evidence
Brian Turner,Sabry Razick,Andrei L. Turinsky,James Vlasblom,Edgard K. Crowdy,Emerson Cho,Kyle Morrison,Ian Donaldson,Shoshana J. Wodak +8 more
TL;DR: iRefWeb enables users to examine aggregated interactions for a protein of interest, and presents various statistical summaries of the data across databases, such as the number of organism-specific interactions, proteins and cited publications.
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Literature curation of protein interactions: measuring agreement across major public databases.
TL;DR: The agreement between curated interactions from 15 471 publications shared across nine major public databases is quantified to highlight the impact of divergent curation policies across databases and should be relevant to both curators and data consumers interested in analyzing protein-interaction data generated by the scientific community.
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Interaction databases on the same page.
TL;DR: Test developers as well as regulatory authorities are accepting risks by developing, approving and championing molecular diagnostics; healthcare payers must now also share an element of this risk by adopting a positive stance toward coverage and reimbursement of molecular diagnostic technology.