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AI Disease Markers Lab

AI Disease Markers Lab

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Professor

About

이관수 교수의 시너지 바이오정보학 연구실(Synergistic Bioinformatics Laboratory)은 KAIST 바이오및뇌공학과 소속으로, 생물정보학과 인공지능, 빅데이터 분석을 통합해 생명과학·의생명 연구의 다양한 문제를 다룬다. 유전체·전사체·단백체 등 다차원 오믹스 데이터를 분석하여 질병 진단·예후·치료반응 예측을 연구하며, AI 기반 질병 마커 및 신약 개발에 중점을 둔다.

Research keywords

AI-based disease marker and drug development

Selected publications

  • GPCRact: a hierarchical framework for predicting ligand-induced GPCR activity via allosteric communication modelingBriefings in Bioinformatics · 2026
  • Robust prognostic biomarkers and a risk prediction model specific to EGFR-mutated lung adenocarcinoma patients via multicohort meta-analysisHeliyon · 2025
  • BASE: a web service for providing compound-protein binding affinity prediction datasets with reduced similarity biasBMC Bioinformatics · 2024
  • Development of Gene Expression-Based Random Forest Model for Predicting Neoadjuvant Chemotherapy Response in Triple-Negative Breast CancerCancers · 2022

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