Hongchul Shin

About

Hongchul Shin conducts biophysics/mechanobiology at the intersection of bioinformatics and machine learning, applied to a wide range of transdisciplinary problems, in which proteins play an important role in understanding scientific phenomena. His previous and ongoing research topics include mechanism elucidations of unexplained biophysical phenomena, relationships between biochemical structure and mechanical properties of material systems, biostatistical approaches to constructing conventional/quantum machine learning/neural networks models.

Employment

• Mechatronics Research Center Associate Research Engineer
  2025 - 2026
• Nano-Biofluignostic Research Center Research Engineer
  2024 - 2024
• Institute of Advanced Machine Design Technology Research Engineer
  2021 - 2022
• Nano Systems Institute Research Engineer
  2019 - 2020

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (16)

• AI-guided De Novo design of DHPS inhibitors
  Journal of Cheminformatics 2026 0 citations DOI: 10.1186/s13321-026-01277-4
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• Physically interpretable AI for predicting mechanical properties of high-entropy alloys
  Modern Physics Letters B 2026 0 citations DOI: 10.1142/S0217984926501460
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• Quantum‐Enhanced Weighted Gene Co‐Expression Network Analysis Reveals Regulatory Networks Underlying Sexual Size Dimorphism in Macrobrachium nipponense
  Integrative Zoology 2026 0 citations DOI: 10.1111/1749-4877.70148
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• Systematic evaluation of attention mechanisms in transformer models for De Novo UTS-driven silk protein sequence design
  Journal of Computational Design and Engineering 2026 2 citations DOI: 10.1093/jcde/qwag002
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• Closed-form physics-informed extension of Griffith’s law for HDPEC-retarded crack growth
  Modern Physics Letters B 2026 4 citations DOI: 10.1142/S0217984925502720
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• Amino acid sequence-based IDR classification using ensemble machine learning and quantum neural networks
  Computational Biology and Chemistry 2025 6 citations DOI: 10.1016/j.compbiolchem.2025.108480
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• Biophysical mechanisms of spider-silk constituting element–induced stick-slip behavior and hydrogen bond regeneration for high toughness in silk fibers
  International Journal of Biological Macromolecules 2025 4 citations DOI: 10.1016/j.ijbiomac.2025.147027
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• Structural Insights and Calcium-Switching Mechanism of Fasciola hepatica Calcium-Binding Protein FhCaBP4
  International Journal of Molecular Sciences 2025 2 citations DOI: 10.3390/ijms26157584
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• Fatigue life predictor: predicting fatigue life of metallic material using LSTM with a contextual attention model
  RSC Advances 2025 19 citations DOI: 10.1039/D5RA01578B
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• A study of forecasting the Nephila clavipes silk fiber's ultimate tensile strength using machine learning strategies
  Journal of the Mechanical Behavior of Biomedical Materials 2024 12 citations DOI: 10.1016/j.jmbbm.2024.106643
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