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Deep Learning Architectures for Cancer Protein Tertiary Structure Prediction

Ai Cancer Biology

AI Protein Structure Cancer Drug Target Discovery

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Ai Cancer Biology › AI Protein Structure Cancer Drug Target Discovery

Deep Learning Architectures for Cancer Protein Tertiary Structure Prediction

This research investigates transformer-based and graph neural network models for predicting three-dimensional structures of cancer-associated proteins with high accuracy and computational efficiency. Novel architectures enable discovery of previously unknown binding pockets and allosteric sites critical for rational drug design against oncogenic targets.

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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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