Research graph
References from Natural language processing for drug discovery. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Using BERT to identify drug-target interactions from whole PubMed
10.1186/s12859-022-04768-x · 2022 · External reference
SCIBERT: a pretrained language model for scientific text
2019 · External reference
How can natural language processing help model informed drug development?: a review
10.1093/jamiaopen/ooac043 · 2022 · External reference
Unresolved reference
2009 · External reference
The use of the area under the ROC curve in the evaluation of machine learning algorithms
10.1016/s0031-3203(96)00142-2 · 1997 · External reference
Natural language processing for drug discovery knowledge graphs: promises and Pitfalls
2023 · External reference
BioSentVec: creating sentence embeddings for biomedical texts
10.1109/ichi.2019.8904728 · 2019 · External reference
A review of approaches for predicting drug–drug interactions based on machine learning
10.3389/fphar.2021.814858 · 2022 · External reference
ClinicalBert: modeling clinical notes and predicting hospital readmission
2019 · External reference
A large-scale evaluation of NLP-derived chemical-gene/protein relationships from the scientific literature: implications for knowledge graph construction
10.1371/journal.pone.0291142 · 2023 · External reference
MIMIC-III, a freely accessible critical care database
10.1038/sdata.2016.35 · 2016 · External reference
Highly accurate protein structure prediction with AlphaFold
10.1038/s41586-021-03819-2 · 2021 · External reference
Drug-drug interaction extraction from biomedical text using relation BioBERT with BLSTM
10.3390/make5020036 · 2023 · External reference
Natural language processing: state of the art, current trends and challenges
10.1007/s11042-022-13428-4 · 2023 · External reference
DrugBank 6.0: the DrugBank Knowledgebase for 2024
10.1093/nar/gkad976 · 2024 · External reference
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
10.1093/bioinformatics/btz682 · 2020 · External reference
Mol-BERT: an effective molecular representation with BERT for molecular property prediction
2021 · External reference
RoBERTa: a robustly optimized BERT pretraining approach
2019 · External reference
AI-based language models powering drug discovery and development
10.1016/j.drudis.2021.06.009 · 2021 · External reference
Review: role of model-informed drug development approaches in the lifecycle of drug development and regulatory decision-making
10.1007/s11095-022-03288-w · 2022 · External reference
End-to-end NLP knowledge graph construction
2021 · External reference
A Review of Evaluation Metrics in Machine Learning Algorithms
2023 · External reference
A real-time automated patient screening system for clinical trials eligibility in an emergency department: design and evaluation
10.2196/14185 · 2019 · External reference
PyTorch: an imperative style, high-performance deep learning library
2019 · External reference
Scikit-learn: machine learning in Python
2011 · External reference
SubGE-DDI: a new prediction model for drug-drug interaction established through biomedical texts and drug-pairs knowledge subgraph enhancement
10.1371/journal.pcbi.1011989 · 2024 · External reference
An exploration into CTEPH medications: combining natural language processing, embedding learning, in vitro models, and real-world evidence for drug repurposing
10.1371/journal.pcbi.1012417 · 2024 · External reference
ChemDataExtractor: a Toolkit for automated extraction of chemical information from the scientific literature
10.1021/acs.jcim.6b00207 · 2016 · External reference
Natural language processing for mimicking clinical trial recruitment in critical care: a semi-automated simulation based on the LeoPARDS trial
10.1109/jbhi.2020.2977925 · 2020 · External reference
CHEMNER: fine-grained chemistry named entity recognition with ontology-guided distant supervision
2021 · External reference
Model-informed drug development: current US regulatory practice and future considerations
10.1002/cpt.1363 · 2019 · External reference
PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge
10.1093/nar/gkae235 · 2024 · External reference
Natural language processing and its implications for the future of medication safety: a narrative review of recent advances and challenges
10.1002/phar.2151 · 2018 · External reference
The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods
10.1093/nar/gkad1004 · 2024 · External reference
Deep learning for drug–drug interaction extraction from the literature: a review
10.1093/bib/bbz087 · 2020 · External reference
BioWordVec, improving biomedical word embeddings with subword information and MeSH
10.1038/s41597-019-0055-0 · 2019 · External reference
Recent advances in biomedical literature mining
10.1093/bib/bbaa057 · 2021 · External reference
Model-informed drug development: current US regulatory practice and future considerations
10.1002/cpt.1363 · ExternalCitation · doi-reference
Natural language processing and its implications for the future of medication safety: a narrative review of recent advances and challenges
10.1002/phar.2151 · ExternalCitation · doi-reference
Natural language processing: state of the art, current trends and challenges
10.1007/s11042-022-13428-4 · ExternalCitation · doi-reference
Review: role of model-informed drug development approaches in the lifecycle of drug development and regulatory decision-making
10.1007/s11095-022-03288-w · ExternalCitation · doi-reference
AI-based language models powering drug discovery and development
10.1016/j.drudis.2021.06.009 · ExternalCitation · doi-reference
The use of the area under the ROC curve in the evaluation of machine learning algorithms
10.1016/s0031-3203(96)00142-2 · ExternalCitation · doi-reference
ChemDataExtractor: a Toolkit for automated extraction of chemical information from the scientific literature
10.1021/acs.jcim.6b00207 · ExternalCitation · doi-reference
Highly accurate protein structure prediction with AlphaFold
10.1038/s41586-021-03819-2 · ExternalCitation · doi-reference
BioWordVec, improving biomedical word embeddings with subword information and MeSH
10.1038/s41597-019-0055-0 · ExternalCitation · doi-reference
MIMIC-III, a freely accessible critical care database
10.1038/sdata.2016.35 · ExternalCitation · doi-reference
Recent advances in biomedical literature mining
10.1093/bib/bbaa057 · ExternalCitation · doi-reference
Deep learning for drug–drug interaction extraction from the literature: a review
10.1093/bib/bbz087 · ExternalCitation · doi-reference
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
10.1093/bioinformatics/btz682 · ExternalCitation · doi-reference
How can natural language processing help model informed drug development?: a review
10.1093/jamiaopen/ooac043 · ExternalCitation · doi-reference
The ChEMBL Database in 2023: a drug discovery platform spanning multiple bioactivity data types and time periods
10.1093/nar/gkad1004 · ExternalCitation · doi-reference
DrugBank 6.0: the DrugBank Knowledgebase for 2024
10.1093/nar/gkad976 · ExternalCitation · doi-reference
PubTator 3.0: an AI-powered literature resource for unlocking biomedical knowledge
10.1093/nar/gkae235 · ExternalCitation · doi-reference
BioSentVec: creating sentence embeddings for biomedical texts
10.1109/ichi.2019.8904728 · ExternalCitation · doi-reference
Natural language processing for mimicking clinical trial recruitment in critical care: a semi-automated simulation based on the LeoPARDS trial
10.1109/jbhi.2020.2977925 · ExternalCitation · doi-reference
Using BERT to identify drug-target interactions from whole PubMed
10.1186/s12859-022-04768-x · ExternalCitation · doi-reference
SubGE-DDI: a new prediction model for drug-drug interaction established through biomedical texts and drug-pairs knowledge subgraph enhancement
10.1371/journal.pcbi.1011989 · ExternalCitation · doi-reference
An exploration into CTEPH medications: combining natural language processing, embedding learning, in vitro models, and real-world evidence for drug repurposing
10.1371/journal.pcbi.1012417 · ExternalCitation · doi-reference
A large-scale evaluation of NLP-derived chemical-gene/protein relationships from the scientific literature: implications for knowledge graph construction
10.1371/journal.pone.0291142 · ExternalCitation · doi-reference
A real-time automated patient screening system for clinical trials eligibility in an emergency department: design and evaluation
10.2196/14185 · ExternalCitation · doi-reference
A review of approaches for predicting drug–drug interactions based on machine learning
10.3389/fphar.2021.814858 · ExternalCitation · doi-reference
Drug-drug interaction extraction from biomedical text using relation BioBERT with BLSTM
10.3390/make5020036 · ExternalCitation · doi-reference
