Ai Cancer Biology › Deep Learning for Oncogene Interaction Networks
Convolutional Deep Learning for 3D Protein Structure Oncogene Modeling
This work develops 3D convolutional neural networks to predict oncogene protein structural conformations and their impact on interaction networks within cellular environments. The approach yields structural insights into allosteric mechanisms governing oncogene-suppressor signaling axes previously inaccessible through traditional bioinformatics.
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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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