Q
Qing Zhang
Researcher at La Jolla Institute for Allergy and Immunology
Publications - 7
Citations - 972
Qing Zhang is an academic researcher from La Jolla Institute for Allergy and Immunology. The author has contributed to research in topics: Epitope & Modular design. The author has an hindex of 6, co-authored 6 publications receiving 905 citations. Previous affiliations of Qing Zhang include San Diego Supercomputer Center.
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Journal ArticleDOI
The Molecular Biology Toolkit (MBT): a modular platform for developing molecular visualization applications
John L. Moreland,Apostol Gramada,Oleksandr V Buzko,Qing Zhang,Philip E. Bourne,Philip E. Bourne +5 more
TL;DR: The MBT provides a well-organized assortment of core classes that provide a uniform data model for the description of biological structures and automate most common tasks associated with the development of applications in the molecular sciences.
Journal ArticleDOI
Immune epitope database analysis resource (IEDB-AR).
Qing Zhang,Peng Wang,Yohan Kim,Pernille Haste-Andersen,John E. Beaver,Philip E. Bourne,Huynh-Hoa Bui,Søren Buus,Sune Frankild,Jason A. Greenbaum,Ole Lund,Claus Lundegaard,Morten Nielsen,Julia Ponomarenko,Alessandro Sette,Zhanyang Zhu,Björn Peters +16 more
TL;DR: A new release of the immune epitope database analysis resource (IEDB-AR, http://tools.immuneepitope.org), a repository of web-based tools for the prediction and analysis of immune epitopes.
Journal ArticleDOI
Immunomic Analysis of the Repertoire of T-Cell Specificities for Influenza A Virus in Humans
Erika Assarsson,Huynh-Hoa Bui,John Sidney,Qing Zhang,Jean Glenn,Carla Oseroff,Innocent N. Mbawuike,Jeff Alexander,Mark Newman,Howard M. Grey,Alessandro Sette +10 more
TL;DR: The 54 nonredundant epitopes identified herein provided high coverage among different ethnicities, were conserved in the majority of the strains analyzed, and were consistently recognized in multiple individuals.
Journal ArticleDOI
An analysis of the epitope knowledge related to Mycobacteria.
Martin J Blythe,Qing Zhang,Kerrie Vaughan,Romulo de Castro,Nima Salimi,Huynh Hoa Bui,David M. Lewinsohn,Joel D. Ernst,Bjoern Peters,Alessandro Sette +9 more
TL;DR: Few non-peptidic or post-translationally modified epitopes have been defined from only 7% of all ORFs, and the top 30 most frequently studied protein antigens contain 65% of the epitopes, leaving the majority of M. tuberculosis genome unexplored.
Journal ArticleDOI
Automating document classification for the Immune Epitope Database
TL;DR: By implementing text classification, this study provides both practical recommendations for users of text classification tools, as well as a large dataset which can serve as a benchmark for tool developers.