[논문] BioLiP2: an updated structure database
자료실
AI 활용신약 DB
- 적용단계
- 비임상/임상개발 타겟발굴 바이오마커발굴 후보물질최적화 약물탐색 화합물디자인 단백질디자인
- 유형
- Binding ADME Toxicity Physicochemical Functional Genomics Transcriptomics Pharmacokinetics Images
- 모델
- Representation Learning Prediction Classification Clustering Diemension Reduction Generation Model Multi-Task Learning Language Model Reinforcement Learining Similarity
- 목적
- 교육 연구
- 전체해제
- 비임상/임상개발
- 타겟발굴
- 바이오마커발굴
- 후보물질최적화
- 약물탐색
- 화합물디자인
- 단백질디자인
- Binding
- ADME
- Toxicity
- Physicochemical
- Functional
- Genomics
- Transcriptomics
- Pharmacokinetics
- Images
- Representation Learning
- Prediction
- Classification
- Clustering
- Diemension Reduction
- Generation Model
- Multi-Task Learning
- Language Model
- Reinforcement Learining
- Similarity
- 교육
- 연구
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[논문] The Drug-Like Molecule Pre-Training Strategy for Drug Discovery
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Deep learning large-scale drug discovery and repurposing
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[논문] Predicting transcriptional responses to novel chemical perturbations
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[논문] Deep Geometric Framework to Predict Antibody-Antigen Binding Affinity
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[논문] DrugBank 5.0: a major update to the DrugBank database for 2018
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[논문] a comprehensive public database of secondary metabolites from cyanobacteria
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[논문] Use of Natural Products as Chemical Library for Drug Discovery and Network Pharmacology
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[논문] TCMID: Traditional Chinese Medicine integrative database for herb molecular mechanism analysis