Latest Research in Multimodal Target Interaction Modeling

Top Research Topics in Multimodal Target Interaction Modeling

• Computational Drug Discovery Methods — 20 papers
• Machine Learning — 2 papers
• Alzheimer's disease research and treatments — 1 papers
• Advanced Proteomics Techniques and Applications — 1 papers
• Microbial Metabolic Engineering and Bioproduction — 1 papers
• Machine Learning in Healthcare — 1 papers
• Glycosylation and Glycoproteins Research — 1 papers
• Machine Learning in Bioinformatics — 1 papers

Highest-Cited Papers

1. EVOLUTION OF COMPUTER-AIDED DRUG DESIGN: EMERGING TECHNOLOGIES AND FUTURE OPPORTUNITIES IN DRUG DISCOVERY
2. A hybrid BiLSTM transformer model for drug synergy prediction
3. Structural Mass Spectrometry Resolves the Conformational Dynamics of Semaglutide Oligomerization
4. CUE: A Chemical Uncertainty-Aware Embedding Framework for Multimodal Drug Selectivity Prediction
5. Probabilistic multimodal learning for drug–target interaction prediction
6. Development of a random background to understand ligand optimization
7. Machine learning-based rescoring with MS²Rescore boosts peptide identification and taxonomic specificity in metaproteomics
8. KAN-GIN: Adaptive Nonlinear Molecular Representation Learning for Drug-Target Affinity Prediction
9. HierHGT-DTI: a multiscale relation-aware heterogeneous graph transformer for cold-start drug-target interaction prediction
10. GUTchetp: integrated prediction of gut microbial biotransformation profiles using ensemble monolingual and multilingual neural machine translation and enzyme class consistency–reaction similarity
11. Confidence-Gated Triage: Coupling Drug–Target Affinity and ADME-T Predictions to Prioritise Compounds for Docking
12. ProAlign-DDI: A Zero-Shot Drug–Drug Interaction Event Prediction Framework with Prototype Alignment
13. Systematic Evaluation of Graph Neural Networks for Ligand-Based Virtual Screening on ChEMBL Datasets
14. MG-CMIF: A Multi-Granularity Enhanced Cross-Modal Information Fusion Framework for Molecular Property Prediction
15. HFEDTI: A DTI Prediction Model Integrating Local–Global Feature Fusion and Weighted Ensemble Learning
16. Artificial intelligence and ultra-high performance computing methods and experiments for drug discovery: virtual screening, deep learning, molecular dynamics simulations, ADMET modelling, and experimental validation
17. KINOTECA: A Navigator of Chemical Datasets with Reported Kinase Inhibitory Activity
18. ChalcoVina: Enhancing Molecular Docking Accuracy by Incorporating Chalcogen Bond-Aware Scoring
19. Relation-aware multimodal knowledge graph learning for drug–drug interaction prediction
20. THE CELLULAR GLYCOCALYX AND ITS BIOPHYSICAL AND BIOMOLECULAR BEHAVIOURAL ASPECTS

Sub-Regions

• Advanced Proteomics Techniques and Applications — 12 papers
• Microbial Metabolic Engineering and Bioproduction — 10 papers
• Computational Drug Discovery Methods — 9 papers
• Machine Learning — 8 papers
• Computational Drug Discovery Methods — 5 papers
• Alzheimer's disease research and treatments — 1 papers