8th International Workshop on

Vaccine and Drug Ontology Studies (VDOS-2019)

Buffalo, NY, USA. 

 Half-day in conjunction with the

10th International Conference on Biomedical Ontology (ICBO)

(July 29 - August 2, 2019) 

Workshop Theme and Topics

Drugs and vaccines have contributed to dramatic improvements in public health worldwide. Over the last decade, there have been efforts in the biomedical ontology community that represent various areas associated with drugs including vaccines that extend existing health and clinical terminology systems (e.g., SNOMED, RxNorm, NDF- RT, and MedDRA), vernacular medical terminologies, and their applications to research and clinical data. This workshop will provide a platform for discussing innovative solutions as well as the challenges in the development and application of biomedical ontologies to representing and analyzing drugs and vaccines, their administration, immune responses induced, adverse events, and similar topics. The workshop will cover two main areas: (i) ontology representation of drugs (including vaccines), and (ii) applications of the ontologies in real world situations – administration, adverse events, etc. Examples of biomedical subject matter in the scope of this workshop: drug components (e.g., drug active ingredients, vaccine antigens, and adjuvants), administration details (e.g., dosage, administration route, and frequency), gene immune responses and pathways, drug-drug or drug-food interactions, and adverse events. Both research and clinical subjects will be covered. We will also focus on computational methods used to study these, for example, literature mining of vaccine/drug-gene interaction networks, meta-analysis of host immune responses, and time event analysis of the pharmacological effects.

Drugs and vaccines have been critical to prevent and treat human and animal diseases. Work in both (drugs and vaccines) areas is closely related - from preclinical research and development to manufacturing, clinical trials, government approval and regulation, and post-licensure usage surveillance and monitoring. In a broader scope, vaccine is a special type of drug. However, there are many differences between the two - for example, in case of vaccines, dose, time, route, and frequency of administration are generally known quite precisely. But this is not always the case in drugs. Since vaccines are often administered to healthy people to prevent disease, attribution of an adverse event following vaccination is less likely to be confounded by signs or symptoms of underlying disease. However, separation of manifestation of disease from manifestation of drug effect is often very challenging. In the U.S.A, vaccines are regulated under different laws by the Center for Biologics (CBER) at FDA, while drugs are regulated under the Food Drug and Cosmetic Act by the Center for Drugs (CDER) at FDA. Safety surveillance for vaccines is for the most part carried out by the Center for Disease Control (CDC) in Atlanta, while for drugs it is carried out by the FDA. Due to these similarities and differences between vaccines and chemical drugs, a closer communication between these two areas is important to create effective ontological frameworks around which we can build comparative and predictive systems for both vaccines and drugs.

Although several related ontologies have been initiated with much progress made in the recent years, we still face many challenges in order to fully and logically represent drugs and vaccines, and efficiently use the ontologies. In the case of ontology representation, no consensuses have been achieved on how to ontologically represent many relevant areas, for example: (i) administration dose, route, and frequency, (ii) how to accurately represent adverse events, (iii) drug-drug interactions, drug-food interactions, etc (iv) experimental testing and analysis of vaccine/drug-induced immune responses, and (v) the complexity of time constraints for clinical events post vaccination or medication. Meanwhile, it is also a challenge to efficiently apply biomedical ontologies to solve research and clinical problems. For example, is there any advantage in applying ontologies for advanced literature mining in order to discover gene interaction networks underlying protective immunity or adverse events? How to apply ontologies for personalized medicine? How to use ontologies to improve the performance of complex vaccine/drug research and clinical data analysis? This workshop aims to bring together a diverse group of individuals from clinical, research and pharma-biotech areas to identify, propose, and discuss solutions for important research problems in the ontological representation of vaccine and drug information covering development and preparation, administration, mechanisms of action including induced host immune responses, adverse events, etc. This workshop is expected to support the deeper understanding of vaccine and drug mechanisms and effects. More specific topics will be selected based on attendees’ submissions and interests.


VDOS Workshop (July 31, 2019 (Friday) 9:00 AM - 12:00 PM)

* Please note that the research papers are for the workshop participants only and will only be available during the workshop. Downloading the papers indicate that you will keep them only the workshop period and that you will not share them with others without authors' prior consent. 
9:00 - 9:10 AM Welcome
9:05 - 9:30 AM (Olivier Bodenreider) Comparing Drug Classes between MED-RT and SNOMED CT

9:30 - 9:55 AM (Yaoyun Zhang) How far is real world data from drug knowledge base: A case study of drug information in Chinese Electronic Health Records [PPTX]
9:55 - 10:20 AM (Xin Lin) Research on Semantic Retrieval Model of Adverse Drug Reactions Based on Ontology 

10:20 - 10:45 AM (Madhuri Sankaranarayanapillai) Lessons learned from annotation of VAERS reports on adverse events following Influenza vaccination and related to Guillain-Barré syndrome 
10:45 - 11:10 AM (Edison Ong) OHPI: Ontology of Host-Pathogen Interactions and its usage in identification and analysis of virulence factors also serving the role of vaccine protective antigens 
11:15 - 11:40 AM (Junguk Hur) Ignet: A centrality- and ontology-based gene interaction network analysis system and its usage in vaccine-associated gene interaction study 
11:40 - 12:00 AM General discussion


For the paper submission, we will allow three submission formats:

  • full research papers (6 pages) format
  • work in progress / late breaking results (2-3 pages), and
  • a statement of interest (one page) for podium presentation.

The paper format will be the same as the format used in ICBO [MS word template]. All the papers will be submitted and handled through EasyChair: https://easychair.org/conferences/?conf=vdos19.

We will automatically send the accepted papers to the main ICBO conference organizers so that the abstract can be included in the proceedings. The presenters of the accepted papers are also expected to give a poster presentation at the main conference. 

After the full papers are accepted, we will work with the BMC Bioinformatics editors and reviewers to decide which papers will be formally invited for extension to be included in a thematic series in the BMC Bioinformatics journal. All full-length (6 pages) and short-length (2-3 pages) submissions will go through peer reviews by at least two reviewers. The one-page statement-of-interest submissions will be reviewed by the workshop organizers.

Workshop Schedule/Important Dates (Tentative)

  • Workshop papers due:                             May 7, 2019 
  • Notification of acceptance:                       May 27, 2019
  • Revised version due:                               July 1, 2019
  • Workshop:                                              July 31, 2019 (9AM - 12PM)
  • First Revision due to BMC Bioinformatics:  Sept 30, 2019 

Previous Workshop

Workshop Organizers

  • Cui Tao, PhD [School of Biomedical Informatics, University of Texas, Health Science Center at Houston]
  • Yongqun “Oliver” He, DVM, PhD [Department of Microbiology and Immunology Unit for Laboratory Animal Medicine Center for Computational Medicine and Bioinformatics University of Michigan Medical School]
  • Junguk Hur, PhD [Department of Biomedical Sciences, University of North Dakota School of Medicine & Health Sciences]

Program Committee (PC) Members

  • Guoqian Jiang, Mayo Clinic 
  • Jie Zheng, University of Pennsylvania
  • Richard Boyce, University of Pittsburgh
  • Asiyah Yu Lin, Food and Drug Administration (FDA)
  • Yuji Zhang, University of Maryland School of Medicine
  • and 3 workshop co-organizers