Protein Secondary Structure Prediction through Hybrid Integration of Transformers and Graph Neural Networks
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Updated
Jan 5, 2024 - Jupyter Notebook
Protein Secondary Structure Prediction through Hybrid Integration of Transformers and Graph Neural Networks
Protein Secondary Structure Prediction (PSSP) using machine learning algorithms.
PSSP solves the gap between education and real-world readiness. By replacing subjective assessments with a data-driven scoring engine, it gives educators and learners a clear, holistic measure of preparedness across academics, career skills, and life skills. NestJS + TypeScript readiness scoring api with weighted algorithms and AI coach integration
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