Drug resistance and inadequate response to commonly administered drugs across different therapeutic indications pose a major challenge to clinicians and researchers involved in precision medicine. This challenge results in increased healthcare costs and additional research expenditure. Despite significant advances in new therapies, many patients experience disease progression or recurrence, reinforcing the need for early identification of drug response and resistance using predictive biomarkers.
Certain biomarkers are predictive of therapeutic response and hold strong potential for broader clinical application in personalized medicine. Understanding biomarker-driven variability is essential to improve treatment outcomes and optimize patient stratification strategies.
Biomarker-driven drug response and resistance analysis
Selecting the right biomarkers associated with drug response and drug resistance remains a critical challenge in modern drug discovery and clinical research. However, biomarker intelligence is essential for designing effective patient enrichment and stratification strategies in data-driven clinical development.
GOBIOM (Global Online Biomarker Platform), developed by Excelra, enables researchers to understand the clinical implications of genetic alterations and their relationships within the gene–drug–disease network by systematically interpreting scientific literature and curated datasets.
The GOBIOM biomarker database aggregates genomic variation and biomarker data from multiple heterogeneous sources and structures them into an easily accessible, analysis-ready format. This enables researchers to gain deeper insights into tumor biology and predict patient response to therapies using validated biomarker evidence.
Variant analysis platform in GOBIOM
Querying gene variants for biomarker discovery
The variant analysis platform in GOBIOM allows users to explore gene variants within their genomic context and visualize curated biomarker data using the UCSC Genome Browser. Gene coordinates stored in GRCh37 or GRCh38 formats can be directly queried to examine variant-level annotations across multiple genomic tracks.
This visualization capability enables rapid correlation of genetic variants with functional, clinical, and therapeutic annotations, supporting biomarker discovery and translational research efforts.
Chromosomal View Tool for gene variant exploration
The Chromosomal View Tool in GOBIOM enables efficient searching of gene variants using Entrez Gene ID, chromosome number, or disease name. Variants are represented in a three-layered chromosomal visualization, where:
- The outer layer represents chromosome numbers
- The middle layer corresponds to the GRCh38 genomic build
- The inner layer corresponds to the GRCh37 genomic build
By interacting with gene coordinate data points, users can directly access curated biomarker and variant annotations, enabling fast and intuitive exploration of clinically relevant genomic alterations.
Why GOBIOM matters for biomarker-driven precision medicine
Focused biomarker databases such as GOBIOM play a crucial role in identifying biomarkers predictive of drug response or resistance. By enabling systematic biomarker analysis, GOBIOM supports the selection of the right patient populations most likely to benefit from targeted therapies—accelerating precision medicine and improving clinical outcomes.
To learn more about Excelra’s biomarker and data science capabilities, explore our biomarker solutions and AI/ML-driven analytics for drug discovery.
