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 *

326 related articles for article (PubMed ID: 37387145)

  • 1. Combining protein sequences and structures with transformers and equivariant graph neural networks to predict protein function.
    Boadu F; Cao H; Cheng J
    Bioinformatics; 2023 Jun; 39(39 Suppl 1):i318-i325. PubMed ID: 37387145
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Combining protein sequences and structures with transformers and equivariant graph neural networks to predict protein function.
    Boadu F; Cao H; Cheng J
    bioRxiv; 2023 Jan; ():. PubMed ID: 36711471
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 3D-equivariant graph neural networks for protein model quality assessment.
    Chen C; Chen X; Morehead A; Wu T; Cheng J
    Bioinformatics; 2023 Jan; 39(1):. PubMed ID: 36637199
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Hierarchical graph transformer with contrastive learning for protein function prediction.
    Gu Z; Luo X; Chen J; Deng M; Lai L
    Bioinformatics; 2023 Jul; 39(7):. PubMed ID: 37369035
    [TBL] [Abstract][Full Text] [Related]  

  • 5. EquiPNAS: improved protein-nucleic acid binding site prediction using protein-language-model-informed equivariant deep graph neural networks.
    Roche R; Moussad B; Shuvo MH; Tarafder S; Bhattacharya D
    Nucleic Acids Res; 2024 Mar; 52(5):e27. PubMed ID: 38281252
    [TBL] [Abstract][Full Text] [Related]  

  • 6. EquiPNAS: improved protein-nucleic acid binding site prediction using protein-language-model-informed equivariant deep graph neural networks.
    Roche R; Moussad B; Shuvo MH; Tarafder S; Bhattacharya D
    bioRxiv; 2023 Sep; ():. PubMed ID: 37745556
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identifying B-cell epitopes using AlphaFold2 predicted structures and pretrained language model.
    Zeng Y; Wei Z; Yuan Q; Chen S; Yu W; Lu Y; Gao J; Yang Y
    Bioinformatics; 2023 Apr; 39(4):. PubMed ID: 37039829
    [TBL] [Abstract][Full Text] [Related]  

  • 8. E(3) equivariant graph neural networks for robust and accurate protein-protein interaction site prediction.
    Roche R; Moussad B; Shuvo MH; Bhattacharya D
    PLoS Comput Biol; 2023 Aug; 19(8):e1011435. PubMed ID: 37651442
    [TBL] [Abstract][Full Text] [Related]  

  • 9. End-to-End Protein Normal Mode Frequency Predictions Using Language and Graph Models and Application to Sonification.
    Hu Y; Buehler MJ
    ACS Nano; 2022 Dec; 16(12):20656-20670. PubMed ID: 36416536
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Struct2GO: protein function prediction based on graph pooling algorithm and AlphaFold2 structure information.
    Jiao P; Wang B; Wang X; Liu B; Wang Y; Li J
    Bioinformatics; 2023 Oct; 39(10):. PubMed ID: 37847755
    [TBL] [Abstract][Full Text] [Related]  

  • 11. PANDA-3D: protein function prediction based on AlphaFold models.
    Zhao C; Liu T; Wang Z
    NAR Genom Bioinform; 2024 Sep; 6(3):lqae094. PubMed ID: 39108640
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Accurately identifying nucleic-acid-binding sites through geometric graph learning on language model predicted structures.
    Song Y; Yuan Q; Zhao H; Yang Y
    Brief Bioinform; 2023 Sep; 24(6):. PubMed ID: 37824738
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting the effects of mutations on protein solubility using graph convolution network and protein language model representation.
    Wang J; Chen S; Yuan Q; Chen J; Li D; Wang L; Yang Y
    J Comput Chem; 2024 Mar; 45(8):436-445. PubMed ID: 37933773
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Combining graph neural networks and transformers for few-shot nuclear receptor binding activity prediction.
    Torres LHM; Arrais JP; Ribeiro B
    J Cheminform; 2024 Sep; 16(1):109. PubMed ID: 39334272
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Employing Molecular Conformations for Ligand-Based Virtual Screening with Equivariant Graph Neural Network and Deep Multiple Instance Learning.
    Gu Y; Li J; Kang H; Zhang B; Zheng S
    Molecules; 2023 Aug; 28(16):. PubMed ID: 37630234
    [TBL] [Abstract][Full Text] [Related]  

  • 16. SPOT-Contact-LM: improving single-sequence-based prediction of protein contact map using a transformer language model.
    Singh J; Litfin T; Singh J; Paliwal K; Zhou Y
    Bioinformatics; 2022 Mar; 38(7):1888-1894. PubMed ID: 35104320
    [TBL] [Abstract][Full Text] [Related]  

  • 17. GATSol, an enhanced predictor of protein solubility through the synergy of 3D structure graph and large language modeling.
    Li B; Ming D
    BMC Bioinformatics; 2024 Jun; 25(1):204. PubMed ID: 38824535
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Atomic protein structure refinement using all-atom graph representations and SE(3)-equivariant graph transformer.
    Wu T; Guo Z; Cheng J
    Bioinformatics; 2023 May; 39(5):. PubMed ID: 37144951
    [TBL] [Abstract][Full Text] [Related]  

  • 19. ELASPIC2 (EL2): Combining Contextualized Language Models and Graph Neural Networks to Predict Effects of Mutations.
    Strokach A; Lu TY; Kim PM
    J Mol Biol; 2021 May; 433(11):166810. PubMed ID: 33450251
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Geometry-complete perceptron networks for 3D molecular graphs.
    Morehead A; Cheng J
    Bioinformatics; 2024 Feb; 40(2):. PubMed ID: 38373819
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 17.