NLM IRP Seminar Schedule
UPCOMING SEMINARS
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May 7, 2024 OPEN
TBD -
May 9, 2024 Pascal Mutz
The Riboviria protein structurome expands virus protein annotation and highlights protein relations -
May 14, 2024 Stanley Liang
TBD -
May 16, 2024 Diego Salazar
TBD -
May 21, 2024 Ziynet Kesimoglu
TBD
RECENT SEMINARS
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May 2, 2024 OPEN
TBD -
April 30, 2024 Wenya Rowe
The conformal central charge of the spin-1/2 XX model derived from long-chain asymptotics -
April 25, 2024 Ermin Hodzic
Condition-Aware Cell Type Deconvolution of Bulk Tissues -
April 16, 2024 Jaya Srivastava
Regulatory plasticity of the human genome -
April 11, 2024 Sergey Shmakov
Comprehensive survey of the TnpB RNA-guided nucleases
The NLM IRP holds a public weekly seminar series for NLM trainees, staff scientists, and investigators to share details on current and exciting research projects at NLM. Seminars take place on Tuesdays at 11:00 AM, EST and some Thursdays at 3:00 PM, EST. Seminars are held in the B2 Library of Building 38A on the main NIH campus in Bethesda, MD. Due to the Covid-19 pandemic, all seminars are currently held virtually.
To schedule a seminar, click the “Schedule Seminar” button to the right, select an appropriate date on the calendar to sign up, and then complete the form. You will need an NIH PIV card to access the “Schedule Seminar” page.
Please include seminars by invited visiting scientists in the NLM IRP seminar series. These need not be on a Tuesday or Thursday.
If you would like to schedule a seminar by a visiting scientist, click the “Schedule Seminar” and complete the form. Contact NLM_IRP_Seminar_Scheduling@mail.nih.gov with questions. Please follow this link to subscribe/unsubscribe to/from the NLM IRP seminar mailing list.
Titles and Abstracts for Upcoming Seminars
(based on the current date)
TBD
The Riboviria protein structurome expands virus protein annotation and highlights protein relations
Metatranscriptomics as well as targeted approaches uncover more and more diverse RNA virus families, yet more to be expected. Thorough protein annotation and comparison is essential to get insights into function and evolution of the viruses and their proteins. In addition to sequence and protein profile based methods, protein structure comparison adds a powerful tool to uncover protein function and relationships. In this study, we used protein structure modeling and subsequent structure comparison searches to illuminate the remaining ‘dark matter’ in hundreds of thousands of previously discovered RNA viruses. Only a few domains and small proteins within this ‘dark matter’ could be confidently assigned a distinct fold and function. The vast majority of the domains showed either ‘generic’ folds (e.g. single alpha-helices) or no high confidence structure prediction. Thus, it appears that notwithstanding the continuing discovery of new RNA viruses by metatranscriptomics, all the protein domains shared by large groups of these viruses have already been identified. The rest of the viral proteome appears to consist of poorly structured domains including intrinsically disordered ones that likely mediate interactions between viral and host proteins. In the course of this work, a Riboviria ‘structurome’ was compiled from already annotated and initially non-annotated (‘dark matter’) proteins and domains encoded in viral genomes. Comparing structures within this ’structurome’ helps to understand protein relationship across virus families.
TBD