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Evolutionary Sequence-Structure Covariation Analysis of Cancer Driver Protein Families

Ai Cancer Biology

AI Protein Structure Cancer Drug Target Discovery

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Ai Cancer Biology › AI Protein Structure Cancer Drug Target Discovery

Evolutionary Sequence-Structure Covariation Analysis of Cancer Driver Protein Families

This research applies covariation analysis and phylogenetic deep learning to identify structurally constrained regions and functional hotspots within cancer protein families across species evolution. Evolutionary insights reveal conserved druggable features and predict functional consequences of patient-specific mutations.

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📚 Academic: Thesis & PPT assistance included🧪 Tech: Master the protocols hands-on📝 Research > 3 months: Publication co-authorship in a Scopus-indexed journal

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