Case Studies

Discover how researchers are using minicule to accelerate discoveries and transform life sciences research.

EBV Research Case Studies

Meta-Analysis of EBV Epitopes Using PubMed Mining

Identification of potential immunotherapy targets for EBV-associated lymphomas

Patent Landscape Analysis for EBV Diagnostic Technologies

Evaluation of intellectual property space for novel EBV diagnostic development

Clinical Trial Outcomes Analysis for EBV-Associated Conditions

Comparative analysis of intervention strategies for post-transplant lymphoproliferative disorder (PTLD)

Multi-Database Integration for EBV and Multiple Sclerosis Research

Investigation of mechanistic links between EBV infection and multiple sclerosis development

Patent-to-Publication Analysis for EBV miRNA Research

Understanding translation potential of basic research on EBV-encoded microRNAs

Clinical Trial Site Optimization Using Geographic Data Analysis

Planning multi-site studies for chronic active EBV infection treatments

Meta-Analysis of EBV Epitopes Using PubMed Mining

Meta-Analysis of EBV Epitopes Using PubMed Mining

Identification of potential immunotherapy targets for EBV-associated lymphomas

Challenge

A research team at a major university needed to compile and analyze over two decades of published data on EBV epitopes to identify candidates for further investigation. The data was scattered across hundreds of publications with inconsistent reporting formats.

Solution

Using minicule's PubMed data lake integration, the team performed automated extraction of EBV epitope data from 643 publications, applied natural language processing to standardize reporting formats, cross-referenced findings with public epitope databases, and generated comprehensive epitope conservation scores.

Automated extraction of data from 643 publications
NLP standardization of reporting formats
Cross-referencing with public epitope databases
Reduced review time from 6 months to 3 weeks

Results

The analysis identified several under-explored epitope regions in the EBNA3 family of proteins that showed high conservation across viral strains and appeared in multiple independent studies. The computational approach reduced literature review time from an estimated 6 months to 3 weeks, enabling rapid prioritization of laboratory validation targets.

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