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 *

125 related articles for article (PubMed ID: 35704881)

  • 1. Sequential Properties Representation Scheme for Recurrent Neural Network-Based Prediction of Therapeutic Peptides.
    Otović E; Njirjak M; Kalafatovic D; Mauša G
    J Chem Inf Model; 2022 Jun; 62(12):2961-2972. PubMed ID: 35704881
    [TBL] [Abstract][Full Text] [Related]  

  • 2. AVP-IC50 Pred: Multiple machine learning techniques-based prediction of peptide antiviral activity in terms of half maximal inhibitory concentration (IC50).
    Qureshi A; Tandon H; Kumar M
    Biopolymers; 2015 Nov; 104(6):753-63. PubMed ID: 26213387
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art.
    Walia RR; Caragea C; Lewis BA; Towfic F; Terribilini M; El-Manzalawy Y; Dobbs D; Honavar V
    BMC Bioinformatics; 2012 May; 13():89. PubMed ID: 22574904
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Comparing Multiple Machine Learning Algorithms and Metrics for Estrogen Receptor Binding Prediction.
    Russo DP; Zorn KM; Clark AM; Zhu H; Ekins S
    Mol Pharm; 2018 Oct; 15(10):4361-4370. PubMed ID: 30114914
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine-learning prediction of adolescent alcohol use: a cross-study, cross-cultural validation.
    Afzali MH; Sunderland M; Stewart S; Masse B; Seguin J; Newton N; Teesson M; Conrod P
    Addiction; 2019 Apr; 114(4):662-671. PubMed ID: 30461117
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Meta-iAVP: A Sequence-Based Meta-Predictor for Improving the Prediction of Antiviral Peptides Using Effective Feature Representation.
    Schaduangrat N; Nantasenamat C; Prachayasittikul V; Shoombuatong W
    Int J Mol Sci; 2019 Nov; 20(22):. PubMed ID: 31731751
    [TBL] [Abstract][Full Text] [Related]  

  • 7. ENNAVIA is a novel method which employs neural networks for antiviral and anti-coronavirus activity prediction for therapeutic peptides.
    Timmons PB; Hewage CM
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34297817
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A clinical text classification paradigm using weak supervision and deep representation.
    Wang Y; Sohn S; Liu S; Shen F; Wang L; Atkinson EJ; Amin S; Liu H
    BMC Med Inform Decis Mak; 2019 Jan; 19(1):1. PubMed ID: 30616584
    [TBL] [Abstract][Full Text] [Related]  

  • 9. deepNEC: a novel alignment-free tool for the identification and classification of nitrogen biochemical network-related enzymes using deep learning.
    Duhan N; Norton JM; Kaundal R
    Brief Bioinform; 2022 May; 23(3):. PubMed ID: 35325031
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Bioactivity Comparison across Multiple Machine Learning Algorithms Using over 5000 Datasets for Drug Discovery.
    Lane TR; Foil DH; Minerali E; Urbina F; Zorn KM; Ekins S
    Mol Pharm; 2021 Jan; 18(1):403-415. PubMed ID: 33325717
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Amino acid encoding for deep learning applications.
    ElAbd H; Bromberg Y; Hoarfrost A; Lenz T; Franke A; Wendorff M
    BMC Bioinformatics; 2020 Jun; 21(1):235. PubMed ID: 32517697
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of peptide binding to MHC using machine learning with sequence and structure-based feature sets.
    Aranha MP; Spooner C; Demerdash O; Czejdo B; Smith JC; Mitchell JC
    Biochim Biophys Acta Gen Subj; 2020 Apr; 1864(4):129535. PubMed ID: 31954798
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.
    Korotcov A; Tkachenko V; Russo DP; Ekins S
    Mol Pharm; 2017 Dec; 14(12):4462-4475. PubMed ID: 29096442
    [TBL] [Abstract][Full Text] [Related]  

  • 14. In Silico Approaches for the Prediction and Analysis of Antiviral Peptides: A Review.
    Charoenkwan P; Anuwongcharoen N; Nantasenamat C; Hasan MM; Shoombuatong W
    Curr Pharm Des; 2021; 27(18):2180-2188. PubMed ID: 33138759
    [TBL] [Abstract][Full Text] [Related]  

  • 15. PharmaNet: Pharmaceutical discovery with deep recurrent neural networks.
    Ruiz Puentes P; Valderrama N; González C; Daza L; Muñoz-Camargo C; Cruz JC; Arbeláez P
    PLoS One; 2021; 16(4):e0241728. PubMed ID: 33901196
    [TBL] [Abstract][Full Text] [Related]  

  • 16. UMPred-FRL: A New Approach for Accurate Prediction of Umami Peptides Using Feature Representation Learning.
    Charoenkwan P; Nantasenamat C; Hasan MM; Moni MA; Manavalan B; Shoombuatong W
    Int J Mol Sci; 2021 Dec; 22(23):. PubMed ID: 34884927
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning study of classifiers trained with biophysiochemical properties of amino acids to predict fibril forming Peptide motifs.
    Kumaran Nair SS; Subba Reddy NV; Hareesha KS
    Protein Pept Lett; 2012 Sep; 19(9):917-23. PubMed ID: 22486618
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting RNA-binding sites of proteins using support vector machines and evolutionary information.
    Cheng CW; Su EC; Hwang JK; Sung TY; Hsu WL
    BMC Bioinformatics; 2008 Dec; 9 Suppl 12(Suppl 12):S6. PubMed ID: 19091029
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Grading amino acid properties increased accuracies of single point mutation on protein stability prediction.
    Liu J; Kang X
    BMC Bioinformatics; 2012 Mar; 13():44. PubMed ID: 22435732
    [TBL] [Abstract][Full Text] [Related]  

  • 20. AVPpred: collection and prediction of highly effective antiviral peptides.
    Thakur N; Qureshi A; Kumar M
    Nucleic Acids Res; 2012 Jul; 40(Web Server issue):W199-204. PubMed ID: 22638580
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.