dbMCS

dbMCS curates a database of mutation markers that influence sensitivity or resistance to anti-cancer drugs to support precision oncology research.

Key Features:

• Curated Data Repository: Manually curated collection of 1271 mutations and 4427 mutation-disease-drug associations, categorized into sensitivity (3151) and resistance (1276), with each entry supported by PubMed-indexed articles.
• Mutation Impact Analysis: Provides analysis of how mutation markers affect highly conserved regions in DNA sequences and protein domains.
• Pleiotropic Effects Exploration: Highlights mutations that exhibit pleiotropic effects and may appear in both sensitivity and resistance categories depending on tumor context.
• Machine Learning Integration: Includes preliminary investigations using machine learning methods to predict mutation markers associated with drug sensitivity.

Scientific Applications:

• Precision Medicine: Supports development of personalized cancer treatments informed by mutation markers linked to drug response.
• Pharmacogenomics Research: Facilitates studies of the genetic basis of drug sensitivity and resistance and discovery of pharmacogenomic biomarkers.
• Targeted Therapy Development: Informs design of targeted therapies that exploit specific mutation markers to modulate treatment efficacy.

Methodology:

Manual literature curation from PubMed-indexed articles; comparative analysis of identified mutations with putative neutral polymorphisms; analysis of conservation in DNA sequences and protein domains; and preliminary machine learning-based predictive modeling.