Research map: DrugLM: A Unified Framework to Enhance Drug–Target Interaction Prediction by Incorporating Textual Embeddings via Language Models

Back to the article

Papers in this map

  1. Evolutionary-scale prediction of atomic-level protein structure with a language model · Zeming Lin · 2023 · 5594 citations · Cited by this paper
  2. A Structural Labeling-File Audit and Secondary Model-Output Evaluation of Korean Specialized and Essential Medical Knowledge Datasets for Medical AI Research · 2026 · Related
  3. LightGCN · Xiangnan He · 2020 · 4437 citations · Cited by this paper
  4. EpitopeGNN: A Graph Neural Network for Influenza A Virus Hemagglutinin Subtype Classification Based on 3D Structure · 2026 · Related
  5. Large language models encode clinical knowledge · Karan Singhal · 2023 · 3892 citations · Cited by this paper
  6. Comprehensive Assessment of CNN Sensitivity in Automated Microorganism Classification: Effects of Compression, Non-Uniform Scaling, and Data Augmentation · 2025 · Related
  7. MoleculeNet: a benchmark for molecular machine learning · Zhenqin Wu · 2017 · 3229 citations · Cited by this paper
  8. Artificial Intelligence in Corneal Drug Delivery Systems · 2026 · Related
  9. Neural Graph Collaborative Filtering · Xiang Wang · 2019 · 3208 citations · Cited by this paper
  10. LCD-VRD: An Explainable Ensemble Deep Learning Framework for Lung Cancer Detection from CT Scans · 2026 · Related
  11. A comprehensive map of molecular drug targets · Rita Santos · 2016 · 2559 citations · Cited by this paper
  12. Toward Clinically Dependable AI for Brain Tumors: A Unified Diagnostic–Prognostic Framework and Triadic Evaluation Model · 2026 · Related
  13. GraphDTA: predicting drug–target binding affinity with graph neural networks · Thin Nguyen · 2020 · 1275 citations · Cited by this paper
  14. The EGR1-FOS Transcriptional Axis in Liver Fibrosis: An Integrated Bioinformatic Analysis of Disease Progression and Shared Molecular Signatures in Cirrhosis · 2026 · Related
  15. Transfer learning enables predictions in network biology · Christina V. Theodoris · 2023 · 1207 citations · Cited by this paper
  16. Combining LLMs and Knowledge Graphs to Reduce Hallucinations in Biomedical Question Answering · 2025 · Related
  17. Deep Learning in Drug Discovery · Erik Gawehn · 2015 · 744 citations · Cited by this paper
  18. A Preliminary Analysis of a Physics-Informed Neural Network for the Forward Problem in EEG · 2026 · Related
  19. DeepConv-DTI: Prediction of drug-target interactions via deep learning with convolution on protein sequences · Ingoo Lee · 2019 · 733 citations · Cited by this paper
  20. Lightweight Depression Detection Using 3D Facial Landmark Pseudo-Images and CNN-LSTM on DAIC-WOZ and E-DAIC · 2026 · Related
  21. MolTrans: Molecular Interaction Transformer for drug–target interaction prediction · Kexin Huang · 2020 · 678 citations · Cited by this paper
  22. TransformerCPI: improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments · Lifan Chen · 2020 · 617 citations · Cited by this paper
  23. Efficient evolution of human antibodies from general protein language models · Brian Hie · 2023 · 477 citations · Cited by this paper
  24. Predicting Drug–Target Interaction Using a Novel Graph Neural Network with 3D Structure-Embedded Graph Representation · Jaechang Lim · 2019 · 432 citations · Cited by this paper
  25. C-Pack: Packed Resources For General Chinese Embeddings · Shitao Xiao · 2024 · 392 citations · Cited by this paper
  26. Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen · Michael P. Menden · 2019 · 378 citations · Cited by this paper
  27. Interpretable bilinear attention network with domain adaptation improves drug–target prediction · Peizhen Bai · 2023 · 372 citations · Cited by this paper
  28. MGraphDTA: deep multiscale graph neural network for explainable drug–target binding affinity prediction · Ziduo Yang · 2022 · 351 citations · Cited by this paper
  29. Improved Protein–Ligand Binding Affinity Prediction with Structure-Based Deep Fusion Inference · Derek Jones · 2021 · 288 citations · Cited by this paper
  30. Clinical development times for innovative drugs · Dean G. Brown · 2021 · 177 citations · Cited by this paper
  31. BACPI: a bi-directional attention neural network for compound–protein interaction and binding affinity prediction · Min Li · 2022 · 115 citations · Cited by this paper
  32. Crowdsourcing assessment of maternal blood multi-omics for predicting gestational age and preterm birth · Adi Laurentiu Tarca · 2021 · 113 citations · Cited by this paper
  33. iDrug: Integration of drug repositioning and drug-target prediction via cross-network embedding · Huiyuan Chen · 2020 · 106 citations · Cited by this paper
  34. mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval · Xin Zhang · 2024 · 95 citations · Cited by this paper
  35. Text Mining for Drugs and Chemical Compounds: Methods, Tools and Applications · Miguél Vázquez · 2011 · 88 citations · Cited by this paper
  36. Adversarial tensor factorization for context-aware recommendation · Huiyuan Chen · 2019 · 71 citations · Cited by this paper
  37. DTI-LM: language model powered drug–target interaction prediction · Khandakar Tanvir Ahmed · 2024 · 57 citations · Cited by this paper
  38. ChatGPT in Drug Discovery: A Case Study on Anticocaine Addiction Drug Development with Chatbots · Rui Wang · 2023 · 56 citations · Cited by this paper
  39. Large language models for drug discovery and development · Yizhen Zheng · 2025 · 48 citations · Cited by this paper

Source: OpenAlex (CC0)