Awesome AI for Science
📄Papers🧭Topics🔥Trending🗺️Map🏆Leaderboards🎓Learn🤖Ask AI
⋯More
👥Authors📚Reading Packs📊Datasets🛠️Tools📰News📝Blogs✉️Newsletter🎯Research Radar🔖Saved
+ Add Paper

← all papers · overview

Hybrid Deep Learning for Advancing Secondary Protein Structure Prediction

Yaswanth S Praveenkumar·Jadidiah Sandeep P·V. K·P. N·2026
Citations0GitHub0★HF0
𝕏in💬✉️
Read paper ↗Google Scholar ↗Semantic Scholar ↗
Protein Science

Abstract

(no abstract)

📬 Awesome AI for Science Digest
FREEWeekly highlights
  • Quick summary of new papers & tools
  • Micro-trends and notable releases
  • Designed for fast scanning
Subscribe (Free) →

Related papers

Ranked by semantic similarity — how closely each paper's abstract matches this one (100% = near-identical topic).

  • Deep learning architectures achieve state-of-the-art (SOTA) accuracy in protein secondary structure prediction (2026)74% match
  • Hybrid deep learning model (E2BNet) combining ESM2 and BiLSTM for 8-state protein secondary structure prediction (2026)72% match
  • A Protein Structure Prediction Approach Leveraging Transformer and CNN Integration (2024)71% match
  • Protein Structure Prediction in the 3D HP Model Using Deep Reinforcement Learning (2024)71% match
  • Deep Learning for Protein Complex Prediction and Design (2026)71% match
  • High Quality Prediction of Protein Q8 Secondary Structure by Diverse Neural Network Architectures (2018)70% match
  • Advanced Deep Learning Methods for Protein Structure Prediction and Design (2025)70% match
  • tFold-TR: Combining Deep Learning Enhanced Hybrid Potential Energy for Template-Based Modeling Structure Refinement (2021)70% match

Stay Updated

E-Mail Digest🎯 Research Radar

Submit a paper · Privacy · Terms

© 2026 Awesome Papers.