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MeSHing molecular sequences and clinical trials: a feasibility study.

Elizabeth S Chen¹, Indra Neil Sarkar

¹Center for Clinical and Translational Science, University of Vermont, Burlington, VT 05405, USA.

Journal of Biomedical Informatics

|October 24, 2009

Summary

This summary is machine-generated.

This study linked molecular sequences and clinical trials using Medical Subject Heading (MeSH) descriptors. Findings show significant potential for connecting research data across the translational barrier.

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Area of Science:

Bioinformatics
Translational Medicine
Data Science

Background:

Publicly available molecular sequence and clinical trial data offer opportunities to bridge the translational gap.
Connecting bench research to clinical applications (T1 translational barrier) is crucial for medical advancement.

Purpose of the Study:

To explore the feasibility of using Medical Subject Heading (MeSH) descriptors to link molecular sequences with clinical trial data.
To infer relationships between GenBank sequences and ClinicalTrials.gov records.

Main Methods:

Utilized keyword metadata, specifically MeSH descriptors, for data linkage.
Analyzed data from GenBank and ClinicalTrials.gov repositories.

Main Results:

Approximately 30% of GenBank sequences were successfully linked to clinical trials.
Over 90% of ClinicalTrials.gov records could be linked to molecular sequences via MeSH descriptors.
Meaningful connections between molecular and clinical data were consistently identified.

Conclusions:

MeSH descriptors provide a viable method for linking molecular sequence and clinical trial data.
This approach shows promise for identifying cross-repository linkages across the T1 translational barrier.
Further studies can leverage these findings to enhance translational research efforts.