PubChem
Emerging17papers using it
2022first seen
PubChem is a comprehensive chemical database that contains molecular data used to evaluate the drug-likeness and validity of generated compounds in drug discovery research.
Papers using PubChem (17)
- How to Detect and Defeat Molecular Mirage: A Metric-Driven Benchmark for
Hallucination in LLM-based Molecular ComprehensionA Large Encoder-Decoder Family of Foundation Models For Chemical LanguageFine-tuning DeepSeek-OCR-2 for Molecular Structure RecognitionEfficient Machine Learning Approach for Yield Prediction in Chemical
ReactionsChemical Language Model Linker: blending text and molecules with modular adaptersBenchmarking Retrieval-Augmented Generation for ChemistryA Personalized Generative AI Model for Diabetes Drug Discovery: Integrating Molecular and Clinical Data Using Variational Autoencoders (VAE)GIP-RAG: An Evidence-Grounded Retrieval-Augmented Framework for Interpretable Gene Interaction and Pathway Impact AnalysisAccelerating Large-Scale Cheminformatics Using a Byte-Offset Indexing Architecture for Terabyte-Scale Data IntegrationDiagnosing Heteroskedasticity and Resolving Multicollinearity Paradoxes in Physicochemical Property PredictionSTAR-VAE: Latent Variable Transformers for Scalable and Controllable Molecular GenerationChemBERTa-2: Towards Chemical Foundation ModelsChemNLP: A Natural Language Processing based Library for Materials
Chemistry Text DataSubstructure-Atom Cross Attention for Molecular Representation LearningMachine Learning Co-pilot for Screening of Organic Molecular Additives
for Perovskite Solar CellsTailoring Molecules for Protein Pockets: a Transformer-based Generative Solution for Structured-based Drug DesignPredicting the activity of chemical compounds based on machine learning
approaches