These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

142 related articles for article (PubMed ID: 38778425)

  • 1. Generative design of compounds with desired potency from target protein sequences using a multimodal biochemical language model.
    Chen H; Bajorath J
    J Cheminform; 2024 May; 16(1):55. PubMed ID: 38778425
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Motif2Mol: Prediction of New Active Compounds Based on Sequence Motifs of Ligand Binding Sites in Proteins Using a Biochemical Language Model.
    Yoshimori A; Bajorath J
    Biomolecules; 2023 May; 13(5):. PubMed ID: 37238703
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Designing highly potent compounds using a chemical language model.
    Chen H; Bajorath J
    Sci Rep; 2023 May; 13(1):7412. PubMed ID: 37150793
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Meta-learning for transformer-based prediction of potent compounds.
    Chen H; Bajorath J
    Sci Rep; 2023 Sep; 13(1):16145. PubMed ID: 37752164
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An analysis of protein language model embeddings for fold prediction.
    Villegas-Morcillo A; Gomez AM; Sanchez V
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35443054
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Predicting Potent Compounds Using a Conditional Variational Autoencoder Based upon a New Structure-Potency Fingerprint.
    Janela T; Takeuchi K; Bajorath J
    Biomolecules; 2023 Feb; 13(2):. PubMed ID: 36830761
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Chemical language models for molecular design.
    Bajorath J
    Mol Inform; 2024 Jan; 43(1):e202300288. PubMed ID: 38010610
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Modeling aspects of the language of life through transfer-learning protein sequences.
    Heinzinger M; Elnaggar A; Wang Y; Dallago C; Nechaev D; Matthes F; Rost B
    BMC Bioinformatics; 2019 Dec; 20(1):723. PubMed ID: 31847804
    [TBL] [Abstract][Full Text] [Related]  

  • 9. cMolGPT: A Conditional Generative Pre-Trained Transformer for Target-Specific De Novo Molecular Generation.
    Wang Y; Zhao H; Sciabola S; Wang W
    Molecules; 2023 May; 28(11):. PubMed ID: 37298906
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Improved biomedical word embeddings in the transformer era.
    Noh J; Kavuluru R
    J Biomed Inform; 2021 Aug; 120():103867. PubMed ID: 34284119
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Learned Embeddings from Deep Learning to Visualize and Predict Protein Sets.
    Dallago C; Schütze K; Heinzinger M; Olenyi T; Littmann M; Lu AX; Yang KK; Min S; Yoon S; Morton JT; Rost B
    Curr Protoc; 2021 May; 1(5):e113. PubMed ID: 33961736
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Transformers-sklearn: a toolkit for medical language understanding with transformer-based models.
    Yang F; Wang X; Ma H; Li J
    BMC Med Inform Decis Mak; 2021 Jul; 21(Suppl 2):90. PubMed ID: 34330244
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of Semantically Similar Sentences in Clinical Notes: Iterative Intermediate Training Using Multi-Task Learning.
    Mahajan D; Poddar A; Liang JJ; Lin YT; Prager JM; Suryanarayanan P; Raghavan P; Tsou CH
    JMIR Med Inform; 2020 Nov; 8(11):e22508. PubMed ID: 33245284
    [TBL] [Abstract][Full Text] [Related]  

  • 14. DeepAS - Chemical language model for the extension of active analogue series.
    Yoshimori A; Bajorath J
    Bioorg Med Chem; 2022 Jul; 66():116808. PubMed ID: 35567984
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Comparing Pre-trained and Feature-Based Models for Prediction of Alzheimer's Disease Based on Speech.
    Balagopalan A; Eyre B; Robin J; Rudzicz F; Novikova J
    Front Aging Neurosci; 2021; 13():635945. PubMed ID: 33986655
    [No Abstract]   [Full Text] [Related]  

  • 16. Predicting Semantic Similarity Between Clinical Sentence Pairs Using Transformer Models: Evaluation and Representational Analysis.
    Ormerod M; Martínez Del Rincón J; Devereux B
    JMIR Med Inform; 2021 May; 9(5):e23099. PubMed ID: 34037527
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Generative power of a protein language model trained on multiple sequence alignments.
    Sgarbossa D; Lupo U; Bitbol AF
    Elife; 2023 Feb; 12():. PubMed ID: 36734516
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MolGPT: Molecular Generation Using a Transformer-Decoder Model.
    Bagal V; Aggarwal R; Vinod PK; Priyakumar UD
    J Chem Inf Model; 2022 May; 62(9):2064-2076. PubMed ID: 34694798
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Smartphone Sensor-Based Human Motion Characterization with Neural Stochastic Differential Equations and Transformer Model.
    Lee J; Kim T; Park J; Park J
    Sensors (Basel); 2022 Oct; 22(19):. PubMed ID: 36236580
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A comparison of word embeddings for the biomedical natural language processing.
    Wang Y; Liu S; Afzal N; Rastegar-Mojarad M; Wang L; Shen F; Kingsbury P; Liu H
    J Biomed Inform; 2018 Nov; 87():12-20. PubMed ID: 30217670
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.