IMAG/MSM Working Group on Multiscale Modeling and Viral Pandemics Mini Seminars
Dec 9, 2021
Welcome - The meeting will start at 3PM EDT
NOTE: THE MEETING WILL BE RECORDED, STREAMED AND PUBLICLY AVAILABLE�FOR THOSE MEMBERS UNABLE TO ATTEND
Agenda
People
Co-Lead: Reinhard Laubenbacher, PhD
Department of Medicine
Laboratory for Systems Medicine
University of Florida
reinhard.laubenbacher@medicine.ufl.edu
Co-Lead: James A. Glazier, PhD
Dept. of Intelligent Systems Engineering and Biocomplexity Institute
Indiana University, Bloomington
Web Administration, Slack: James P. Sluka, PhD
Dept. of Intelligent Systems Engineering and Biocomplexity Institute
Indiana University, Bloomington
Activities Coordination: Bruce G. Shapiro, PhD, PMP
Laboratory for Systems Medicine
University of Florida
bruce.shapiro@medicine.ufl.edu
Slack Channel
https://Msm-working-group.slack.com
Our IMAG/MSM Wiki page
https://www.imagwiki.nibib.nih.gov/working-groups/multiscale-modeling-and-viral-pandemics Feel free to suggest additional content!
Or, use the Tiny URL: https://tinyurl.com/hkr97vfe
IMAG’s LinkedIn
YouTube “MSM Working Group on Multiscale Modeling” https://www.youtube.com/channel/UCuDFvhgFziRRDcpRnT3vlrw
Please follow the�group on Twitter!
If you could re-tweet the weekly announcements �(there are usually two, one for each speaker) �that would help boost attendance and community awareness.
Announcements
�Any short (~1 minute) items such as;
Schedule for Upcoming Meetings and mini-Seminars
Dec 16:
Dec 23: Christmas Break
Dec 30: New Years Break
Jan 6:
Request for future speakers (Jan 6, …)
Rules of the Meeting
Please mute your microphone and hold questions until after the presentations
Mini-Seminar�Ab initio molecular signatures predictive of�susceptibility to viral infection
Slim Fourati�Emory University School of Medicine
The response to respiratory viruses varies substantially between individuals, and little is known on molecular predictors from the early stages of infection. Here we conduct a community-based analysis to determine whether pre- or early post-exposure molecular factors could predict physiologic responses to viral exposure. Using peripheral blood gene expression profiles collected from healthy subjects prior to exposure to one of four respiratory viruses (H1N1, H3N2, Rhinovirus, and RSV), as well as up to 24 h following exposure, we find that it is possible to construct models predictive of symptomatic response using profiles even prior to viral exposure. Analysis of predictive gene features reveals little overlap among models; however, in aggregate, these genes are enriched for common pathways. Heme metabolism, the most significantly enriched pathway, is associated with a higher risk of developing symptoms following viral exposure. This study demonstrates that pre-exposure molecular predictors can be identified and improves our understanding of the mechanisms of response to respiratory viruses.
Mini-Seminar�Just Enough Requirements Engineering�for Non-Computer Science Majors
Bingyang Wei�Texas Christian University
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Requests for Input/Suggestions
We would like the subgroup leads to prepare brief presentations for the Thursday meetings, please let us know when you would like to present
Ideas/help for publicising our Thursday mini-seminars more effectively and for speakers to invite
Suggestions for agenda items and approaches to organizing the Steering Committee Meetings more effectively
There have also been a number of requests for more explicit statements of goals and tasks from the WG leadership, we would appreciate your suggestions
Please contact Reinhard Laubenbacher, James Glazier, James Sluka or Bruce Shapiro with your ideas on all of these issues
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Have you made new research contacts or collaborations based on the Viral Pandemics working group?
Additional Business
We ask that everyone sign up for subgroups using the Google Form at
https://forms.gle/Vf6RtapTeXfXLBaq6
People are welcome to post tools and software to IMAG/MSM website, but be careful to be clear that a posting does not include endorsement by NIH
Please register on IMAG/MSM web site https://www.imagwiki.nibib.nih.gov/index.php/�(Details are on the next slide)
Charge to subgroups�(review):
Deliverable: White paper on the subgroup focus areas.�Due date: February 26, 2021
Steps to be taken:
Should be added to the subgroup’s Wiki page
To register for the MSM�(Multiscale Modeling Consortium):
“Multiscale Modeling and Viral Pandemics”
If you have any problems please contact JSluka@iu.edu
Current Subgroup Updates
Subgroup Roll Call and Feedback
Subgroup leads quick check in (subgroup list on next slides):
Subgroups 1 of 2�(28 total subgroups)
Leads Names
Physiological Models
[Innate and Adaptive Immune Response] J Shoemaker, R Datta, V Zarnitsyna, E Schwartz
[Host-pathogen Interactions] Y Liu, J Thakar, W Garira
[Tissue Damage and Recovery] Y Jiang, K Ye
Virus Models
[Viral Transport and Modes of Entry and Barrier Functions] MG Forest
[Viral Replication and Release] J Faeder, P Rangamani, EY Kim
[Viral Evolution] F Adler, A Zilman
Therapeutics and Medicine
[Drug Development] R Stratford
[Vaccine Development] K Ye, E Schwartz
[Modeling individual responses to disease and treatment] G An, E Schwartz, T Mapder
[Modelling Decontamination of Surfaces/Materials] K Kiradjiev
[Machine Learning for Health Monitoring] G Lin, Y Jiang
Individual Organ Systems
[Lungs] Y Jiang
[Heart],[Vasculature] C Lynch
[Kidney and Liver] M Rafailovich, C Mazza, C Mahapatra, C Yedjou
[Comorbidities] J Barhak, G Gonzalez-Parra
Subgroups 2 of 2
Data
[Experimental and Clinical Data for Model Construction and Validation] S Schnell
[AI-based Data Processing, Heterogeneous Data Fusion] O Gevaert, Y Kevrekidis
[Infection in experimental models including Relationship between in vivo � and in vitro responses and Infection in vivo model organisms] tbd
[Infection in zoonotic reservoir animals and Interspecies Transmission] G An, J Rice, T Mapder
[Coinfection and/or other pathogens] H. Dobrovolny
[Emerging and Reemerging Diseases] A Gumel
Modeling Technology
[Aerosol Transport in Lung, Lymph and Blood] M Tawhai, C Darquenne
[Integration] ** J Barhak, R Bowness, Y Liu, R Thompson
[Knowledge Acquisition and Modeling] SMR Naqvi, J Thakar
[Crowd-sourcing Models] R Laubenbacher, P Macklin
[Model Standards, Credibility, and Annotation] J Barhak, R Sheriff
�Social Issues
[Dissemination, training and outreach to the public, � research community and Liaisons] T Helikar, B Madamanchi, J Rice
[Health Equity] *** B Madamanchi
[Dissemination and Communication to funding agencies] J Glazier, R Laubenbacher
** Merged two groups – � [Integration Within and Across Scales and challenges]
[Integration Between Within-host and Population Scales]
*** Merged
Please Sign Up For Subgroups!
Subgroup Sign up
We ask that everyone sign up for subgroups using the Google Form at:
https://forms.gle/Vf6RtapTeXfXLBaq6
�The form allows you to join a group and volunteer to lead. If you think subgroups overlap, feel free to sign up for multiple groups. We will likely combine some of the groups based on the number of participants and the number of people common across related groups.
Discussion of Recruitment of Subgroup Leads, Subgroup Members and WG Members
Procedure for the establishment of new subgroups:
New subgroup proposals should include a brief description of the focus, at least one person who has agreed to lead the subgroup, and a rationale why the proposed subgroup focus is not covered by already existing subgroups.