BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

254 related articles for article (PubMed ID: 35604077)

  • 21. AttentionDTA: Drug-Target Binding Affinity Prediction by Sequence-Based Deep Learning With Attention Mechanism.
    Zhao Q; Duan G; Yang M; Cheng Z; Li Y; Wang J
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(2):852-863. PubMed ID: 35471889
    [TBL] [Abstract][Full Text] [Related]  

  • 22. PST-PRNA: prediction of RNA-binding sites using protein surface topography and deep learning.
    Li P; Liu ZP
    Bioinformatics; 2022 Apr; 38(8):2162-2168. PubMed ID: 35150250
    [TBL] [Abstract][Full Text] [Related]  

  • 23. MDL-CPI: Multi-view deep learning model for compound-protein interaction prediction.
    Wei L; Long W; Wei L
    Methods; 2022 Aug; 204():418-427. PubMed ID: 35114401
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Compound-protein interaction prediction with end-to-end learning of neural networks for graphs and sequences.
    Tsubaki M; Tomii K; Sese J
    Bioinformatics; 2019 Jan; 35(2):309-318. PubMed ID: 29982330
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Protein-DNA binding sites prediction based on pre-trained protein language model and contrastive learning.
    Liu Y; Tian B
    Brief Bioinform; 2023 Nov; 25(1):. PubMed ID: 38171929
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Enhancing generalizability and performance in drug-target interaction identification by integrating pharmacophore and pre-trained models.
    Zhang Z; He X; Long D; Luo G; Chen S
    Bioinformatics; 2024 Jun; 40(Supplement_1):i539-i547. PubMed ID: 38940179
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Structure-based prediction of protein- peptide binding regions using Random Forest.
    Taherzadeh G; Zhou Y; Liew AW; Yang Y
    Bioinformatics; 2018 Feb; 34(3):477-484. PubMed ID: 29028926
    [TBL] [Abstract][Full Text] [Related]  

  • 28. EnAMP: A novel deep learning ensemble antibacterial peptide recognition algorithm based on multi-features.
    Zhuang J; Gao W; Su R
    J Bioinform Comput Biol; 2024 Feb; 22(1):2450001. PubMed ID: 38406833
    [TBL] [Abstract][Full Text] [Related]  

  • 29. CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning.
    Du BX; Long Y; Li X; Wu M; Shi JY
    Bioinformatics; 2023 Aug; 39(8):. PubMed ID: 37572298
    [TBL] [Abstract][Full Text] [Related]  

  • 30. ifDEEPre: large protein language-based deep learning enables interpretable and fast predictions of enzyme commission numbers.
    Tan Q; Xiao J; Chen J; Wang Y; Zhang Z; Zhao T; Li Y
    Brief Bioinform; 2024 May; 25(4):. PubMed ID: 38942594
    [TBL] [Abstract][Full Text] [Related]  

  • 31. 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]  

  • 32. CAPLA: improved prediction of protein-ligand binding affinity by a deep learning approach based on a cross-attention mechanism.
    Jin Z; Wu T; Chen T; Pan D; Wang X; Xie J; Quan L; Lyu Q
    Bioinformatics; 2023 Feb; 39(2):. PubMed ID: 36688724
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Umami-BERT: An interpretable BERT-based model for umami peptides prediction.
    Zhang J; Yan W; Zhang Q; Li Z; Liang L; Zuo M; Zhang Y
    Food Res Int; 2023 Oct; 172():113142. PubMed ID: 37689906
    [TBL] [Abstract][Full Text] [Related]  

  • 34. ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides.
    Wei L; Zhou C; Chen H; Song J; Su R
    Bioinformatics; 2018 Dec; 34(23):4007-4016. PubMed ID: 29868903
    [TBL] [Abstract][Full Text] [Related]  

  • 35. DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model.
    Fang Y; Jiang Y; Wei L; Ma Q; Ren Z; Yuan Q; Wei DQ
    Bioinformatics; 2023 Dec; 39(12):. PubMed ID: 38015872
    [TBL] [Abstract][Full Text] [Related]  

  • 36. DTI-BERT: Identifying Drug-Target Interactions in Cellular Networking Based on BERT and Deep Learning Method.
    Zheng J; Xiao X; Qiu WR
    Front Genet; 2022; 13():859188. PubMed ID: 35754843
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Molecular property prediction by contrastive learning with attention-guided positive sample selection.
    Wang J; Guan J; Zhou S
    Bioinformatics; 2023 May; 39(5):. PubMed ID: 37079731
    [TBL] [Abstract][Full Text] [Related]  

  • 38. PSSP-MVIRT: peptide secondary structure prediction based on a multi-view deep learning architecture.
    Cao X; He W; Chen Z; Li Y; Wang K; Zhang H; Wei L; Cui L; Su R; Wei L
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34117740
    [TBL] [Abstract][Full Text] [Related]  

  • 39. ActTRANS: Functional classification in active transport proteins based on transfer learning and contextual representations.
    Taju SW; Shah SMA; Ou YY
    Comput Biol Chem; 2021 Aug; 93():107537. PubMed ID: 34217007
    [TBL] [Abstract][Full Text] [Related]  

  • 40. ConPep: Prediction of peptide contact maps with pre-trained biological language model and multi-view feature extracting strategy.
    Wei Q; Wang R; Jiang Y; Wei L; Sun Y; Geng J; Su R
    Comput Biol Med; 2023 Dec; 167():107631. PubMed ID: 37948966
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.