NLM DIR Seminar Schedule
UPCOMING SEMINARS
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July 3, 2025 Matthew Diller
Using Ontologies to Make Knowledge Computable -
July 15, 2025 Noam Rotenberg
Cell phenotypes in the biomedical literature: a systematic analysis and the NLM CellLink text mining corpus
RECENT SEMINARS
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July 3, 2025 Matthew Diller
Using Ontologies to Make Knowledge Computable -
July 1, 2025 Yoshitaka Inoue
Graph-Aware Interpretable Drug Response Prediction and LLM-Driven Multi-Agent Drug-Target Interaction Prediction -
June 10, 2025 Aleksandra Foerster
Interactions at pre-bonding distances and bond formation for open p-shell atoms: a step toward biomolecular interaction modeling using electrostatics -
June 3, 2025 MG Hirsch
Interactions among subclones and immunity controls melanoma progression -
May 29, 2025 Harutyun Sahakyan
In silico evolution of globular protein folds from random sequences
Scheduled Seminars on Dec. 4, 2023
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
The complexity of Alzheimer’s Disease (AD) means that approaches for effective therapeutic target identification and drug development need to be multifaceted. Genetically identified target genes have yet to be shown as clinically effective as drug targets. Data driven approaches to discovery are far more successful when tightly linked to predictive assessment in biological systems. Using a comparative systems approach, we have focused upon the activity of individual pathways to map dysregulated function across human and model systems. Integrated Pathway Activity Analysis (IPAA) compares human brains with 3D Alzheimer’s disease (AD) neural cell culture models, ensuring selection of the most accurate model. This approach identifies crucial pathways and new drug candidates, validated in neural cell culture models, accelerating the development of AD interventions. Precise alignment of cellular model functional recapitulation with human AD pathology streamlines drug discovery and minimizes the risk of clinical trial failures. The P38 MAPK pathway is identified as a key dysregulated pathway, consistently activated in both AD brains and 3D AD neural cell culture models. We validated the impact of this pathway by therapeutic intervention with known clinical p38 MAPK inhibitors. We are now exploring the potential modulation of pathogenic pathways using microRNAs (miRNAs). Utilizing a miRNA-Pathway prediction framework, PanomiR, we systematically analyze the role of miRNAs in regulating the multi-pathway activity events we have discovered related to AD. This approach has led to the identification of key miRNAs that target coordinated groups of disease pathways, offering novel insights into the regulatory mechanisms in AD and highlighting potential therapeutic candidates.