Www.fludb.org Influenza Research Database (IRD) 26 September 2011 Richard H. Scheuermann, Ph.D. Department of Pathology U.T. Southwestern Medical Center.

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Presentation transcript:

Influenza Research Database (IRD) 26 September 2011 Richard H. Scheuermann, Ph.D. Department of Pathology U.T. Southwestern Medical Center

History of IRD SEP2004 APR2007 DEC2009

CEIRS Network

Influenza Virus Orthomyxoviridae family Negative-strand RNA Segmented Enveloped 8 RNA segments encode 11 proteins Classified based on serology of HA and NA

Public Health Impact of Influenza Seasonal flu epidemics occur yearly during the fall/ winter months and result in 3-5 million cases of severe illness worldwide. More than 200,000 people are hospitalized each year with seasonal flu-related complications in the U.S. Approximately 36,000 deaths occur due to seasonal flu each year in the U.S. Populations at highest risk are children under age 2, adults age 65 and older, and groups with other co-morbidities. Pandemics – 1918 Spanish flu (H1N1); million deaths – 1957 Asian flu (H2N2); million deaths – 1968 Hong Kong flu (H3N2); 750, million deaths – 2009 Swine origin (H1N1); > 16,000 deaths as of March 2010 Source: World Health Organization -

IRD Overview

Data Summary

Data Sources

Search Access to Data

Data Types

Analysis and Visualization

Analysis and Visualization Tools

Workbench Access

Data Submission

Data Submission Page

DATA INTEGRATION

3D Structure Viewer

UNIQUE COMMUNITY DATA

Surveillance Search

Google Maps Display

UNIQUE IRD DATA

SFVT

SF definition SF can be defined for any region of interest because of structural or functional properties Defined based on experimentation reported in the literature, 3D protein structures (PDB records), UniProt annotations and IEDB epitope records Defined by the specific amino acid positions in the polypeptide chain Manually curated and externally validated

SF Counts

NS1 Functional SFs

SF Details

VTs

VT-specific Strain List

IRD Summary Funded by U.S. National Institute of Allergy and Infectious Diseases (NIAID) Free and open access with no use restrictions Developed by a team of research scientists, bioinformaticians and professional software developers Comprehensive collection of public data Novel derived data, novel analytical tools, unique functions Integration – Integration – Integration

Challenges and Future Directions Inconsistent annotations Competition with other influenza-focused resources GISAID collaboration Host systems biology and “omics” data

37 U.T. Southwestern – Richard Scheuermann (PI) – Burke Squires – Jyothi Noronha – Victoria Hunt – Shubhada Godbole – Brett Pickett – Yun Zhang MSSM – Adolfo Garcia-Sastre – Eric Bortz – Gina Conenello – Peter Palese Vecna – Chris Larsen – Al Ramsey LANL – Catherine Macken – Mira Dimitrijevic U.C. Davis – Nicole Baumgarth Northrop Grumman – Ed Klem – Mike Atassi – Kevin Biersack – Jon Dietrich – Wenjie Hua – Wei Jen – Sanjeev Kumar – Xiaomei Li – Zaigang Liu – Jason Lucas – Michelle Lu – Bruce Quesenberry – Barbara Rotchford – Hongbo Su – Bryan Walters – Jianjun Wang – Sam Zaremba – Liwei Zhou IRD SWG – Gillian Air, OMRF – Carol Cardona, Univ. Minnesota – Adolfo Garcia-Sastre, Mt Sinai – Elodie Ghedin, Univ. Pittsburgh – Martha Nelson, Fogarty – Daniel Perez, Univ. Maryland – Gavin Smith, Duke Singapore – David Spiro, JCVI – Dave Stallknecht, Univ. Georgia – David Topham, Rochester – Richard Webby, St Jude USDA – David Suarez Sage Analytica – Robert Taylor – Lone Simonsen CEIRS Centers Acknowledgments N01AI40041