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Korea AI Labs

단백질 구조·설계

Protein Structure & Design · 연구실 13곳 · 논문 34편

다른 주제·대학과 함께 찾기
POSTECH0/15
KU1/23
Yonsei2/37
KAIST6/57
SNU4/84
칸 하나가 연구실 하나예요. 이 주제 논문이 많을수록 밝아요.

관련 연구실

등급은 학회·저널 분류이며 연구실 순위가 아닙니다.

  1. SNUAI for Science

    백민경Laboratory of Computational Structural and Systems Biology

    관련 논문 11편비중 73%연구 분야에 명시
    • 2026De novo epitope-specific antibody design via time-dependent guidance Bioinformatics
    • 2025Predicting protein-protein interactions in the human proteome Science
    • 2025Rapid and accurate prediction of protein homo-oligomer symmetry using Seq2Symm Nature Communications
  2. YonseiAI for Science2026 업데이트 중

    남호정BIIL

    관련 논문 3편비중 25%연구 분야에 명시
    • 2025AI-Guided Discovery and Optimization of Antimicrobial Peptides Through Species-Aware Language Model Briefings in Bioinformatics
    • 2025Reinforcement learning with low-rank adaptation for targeted antimicrobial peptide design Briefings in Bioinformatics
    • 2023AMP-BERT: Prediction of Antimicrobial Peptide Function Based on a BERT Model Protein Science
  3. Yonsei데이터 마이닝

    박상현DELAB

    관련 논문 5편비중 11%
    • 2025Exploring the potential of compound-protein complex structure-free models in virtual screening using BlendNet Briefings in Bioinformatics
    • 2025TheProtein: Evolutionarily Informed Graph-Surface Protein Representation BIBM
    • 2024PIDiff: Physics Informed Diffusion Model for Protein Pocket-Specific 3D Molecular Generation Computers in Biology and Medicine
  4. KAISTAI for Science

    김우연Intelligent Chemistry Lab

    관련 논문 3편비중 8%
    • 2026Synthesis of 3-desoxycollinoketone B and its ability to reduce Alzheimer-associated misfolded proteins Nature Communications
    • 2024NCIDiff: Non-covalent Interaction-generative Diffusion Model for Improving Reliability of 3D Molecule Generation Inside Protein Pocket ICML
    • 2024PIGNet2: a versatile deep learning-based protein–ligand interaction prediction model for binding affinity scoring and virtual screening Digital Discovery
  5. SNUAI for Science

    김선BHI Lab

    관련 논문 3편비중 5%
    • 2025CheapNet: Cross-attention on Hierarchical representations for Efficient protein-ligand binding Affinity Prediction ICLR
    • 2024Dual Representation Learning for Predicting Drug-side Effect Frequency using Protein Target Information IEEE JBHI
    • 2024Identification of VWA5A as a novel biomarker for inhibiting metastasis in breast cancer by machine-learning based protein prioritization Scientific Reports
  6. KAIST머신러닝

    안성수SPML Lab

    관련 논문 2편비중 4%
    • 2026Atom-level Protein Representation Learning Improves Protein Structure Prediction NeurIPS
    • 2024Decoupled Sequence and Structure Generation for Realistic Antibody Design TMLR
  7. KAIST데이터 마이닝

    박찬영DSAIL

    관련 논문 1편비중 1%
    • 2026Tokenizing Antibody-Antigen Complex Structures via Energy-Based Surrogates KDD
  8. KAIST컴퓨터 비전

    윤국진VI Lab

    관련 논문 1편비중 1%
    • 2026A machine learning framework for predicting and modulating condition-dependent protein phase separation Nature Communications
  9. KAISTAI 시스템

    김주영CAST Lab

    관련 논문 1편비중 1%
    • 2025LightNobel: Improving Sequence Length Limitation in Protein Structure Prediction Model via Adaptive Activation Quantization ISCA
  10. KUAI for Science

    감태의Medical AI Lab

    관련 논문 1편비중 1%
    • 2025Hybrid Local-Global GNN for Protein Binding Interface Prediction via Ensemble Learning ICEIC
  11. SNU머신러닝

    윤성로AI Lab

    관련 논문 1편비중 1%
    • 2024Cross-modal embedding integrator for disease-gene/protein association prediction using a multi-head attention mechanism Pharmacology Research & Perspectives
  12. SNUAI for Science

    정유성MICC Lab

    관련 논문 1편비중 2%
    • 2023Exploring the Diverse Landscape of Biaryl-Containing Peptides Generated by Cytochrome P450 Macrocyclases J. Am. Chem. Soc
  13. KAIST머신러닝

    신진우ALIN Lab

    관련 논문 1편비중 1%
    • 2023Fine-tuning protein Language Models by ranking protein fitness NeurIPS