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Cryo-EM Data Integration with Machine Learning for Tumor Suppressor Characterization

Ai Cancer Biology

AI Protein Structure Cancer Drug Target Discovery

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Ai Cancer Biology › AI Protein Structure Cancer Drug Target Discovery

Cryo-EM Data Integration with Machine Learning for Tumor Suppressor Characterization

This research combines cryo-electron microscopy datasets with AI-driven image processing and structural annotation to determine native conformations of tumor suppressors like p53 and PTEN. Integrated analysis reveals dynamic conformational states and post-translational modification sites essential for understanding cancer biology and identifying therapeutic vulnerabilities.

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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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