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 *

192 related articles for article (PubMed ID: 32145017)

  • 21. CPPred-RF: A Sequence-based Predictor for Identifying Cell-Penetrating Peptides and Their Uptake Efficiency.
    Wei L; Xing P; Su R; Shi G; Ma ZS; Zou Q
    J Proteome Res; 2017 May; 16(5):2044-2053. PubMed ID: 28436664
    [TBL] [Abstract][Full Text] [Related]  

  • 22. HemoPred: a web server for predicting the hemolytic activity of peptides.
    Win TS; Malik AA; Prachayasittikul V; S Wikberg JE; Nantasenamat C; Shoombuatong W
    Future Med Chem; 2017 Mar; 9(3):275-291. PubMed ID: 28211294
    [TBL] [Abstract][Full Text] [Related]  

  • 23. KELM-CPPpred: Kernel Extreme Learning Machine Based Prediction Model for Cell-Penetrating Peptides.
    Pandey P; Patel V; George NV; Mallajosyula SS
    J Proteome Res; 2018 Sep; 17(9):3214-3222. PubMed ID: 30032609
    [TBL] [Abstract][Full Text] [Related]  

  • 24. 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]  

  • 25. iBCE-EL: A New Ensemble Learning Framework for Improved Linear B-Cell Epitope Prediction.
    Manavalan B; Govindaraj RG; Shin TH; Kim MO; Lee G
    Front Immunol; 2018; 9():1695. PubMed ID: 30100904
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Meta-4mCpred: A Sequence-Based Meta-Predictor for Accurate DNA 4mC Site Prediction Using Effective Feature Representation.
    Manavalan B; Basith S; Shin TH; Wei L; Lee G
    Mol Ther Nucleic Acids; 2019 Jun; 16():733-744. PubMed ID: 31146255
    [TBL] [Abstract][Full Text] [Related]  

  • 27. PreTP-EL: prediction of therapeutic peptides based on ensemble learning.
    Guo Y; Yan K; Lv H; Liu B
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34459488
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Machine learning-guided discovery and design of non-hemolytic peptides.
    Plisson F; Ramírez-Sánchez O; Martínez-Hernández C
    Sci Rep; 2020 Oct; 10(1):16581. PubMed ID: 33024236
    [TBL] [Abstract][Full Text] [Related]  

  • 29. SDM6A: A Web-Based Integrative Machine-Learning Framework for Predicting 6mA Sites in the Rice Genome.
    Basith S; Manavalan B; Shin TH; Lee G
    Mol Ther Nucleic Acids; 2019 Dec; 18():131-141. PubMed ID: 31542696
    [TBL] [Abstract][Full Text] [Related]  

  • 30. 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]  

  • 31. AMPDeep: hemolytic activity prediction of antimicrobial peptides using transfer learning.
    Salem M; Keshavarzi Arshadi A; Yuan JS
    BMC Bioinformatics; 2022 Sep; 23(1):389. PubMed ID: 36163001
    [TBL] [Abstract][Full Text] [Related]  

  • 32. NeuroPpred-Fuse: an interpretable stacking model for prediction of neuropeptides by fusing sequence information and feature selection methods.
    Jiang M; Zhao B; Luo S; Wang Q; Chu Y; Chen T; Mao X; Liu Y; Wang Y; Jiang X; Wei DQ; Xiong Y
    Brief Bioinform; 2021 Nov; 22(6):. PubMed ID: 34396388
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Computational prediction of species-specific yeast DNA replication origin via iterative feature representation.
    Manavalan B; Basith S; Shin TH; Lee G
    Brief Bioinform; 2021 Jul; 22(4):. PubMed ID: 33232970
    [TBL] [Abstract][Full Text] [Related]  

  • 34. TPpred-ATMV: therapeutic peptide prediction by adaptive multi-view tensor learning model.
    Yan K; Lv H; Guo Y; Chen Y; Wu H; Liu B
    Bioinformatics; 2022 May; 38(10):2712-2718. PubMed ID: 35561206
    [TBL] [Abstract][Full Text] [Related]  

  • 35. StackCPPred: a stacking and pairwise energy content-based prediction of cell-penetrating peptides and their uptake efficiency.
    Fu X; Cai L; Zeng X; Zou Q
    Bioinformatics; 2020 May; 36(10):3028-3034. PubMed ID: 32105326
    [TBL] [Abstract][Full Text] [Related]  

  • 36. PACVP: Prediction of Anti-Coronavirus Peptides Using a Stacking Learning Strategy With Effective Feature Representation.
    Chen S; Liao Y; Zhao J; Bin Y; Zheng C
    IEEE/ACM Trans Comput Biol Bioinform; 2023; 20(5):3106-3116. PubMed ID: 37022025
    [TBL] [Abstract][Full Text] [Related]  

  • 37. PredAPP: Predicting Anti-Parasitic Peptides with Undersampling and Ensemble Approaches.
    Zhang W; Xia E; Dai R; Tang W; Bin Y; Xia J
    Interdiscip Sci; 2022 Mar; 14(1):258-268. PubMed ID: 34608613
    [TBL] [Abstract][Full Text] [Related]  

  • 38. CRiSP: accurate structure prediction of disulfide-rich peptides with cystine-specific sequence alignment and machine learning.
    Liu ZL; Hu JH; Jiang F; Wu YD
    Bioinformatics; 2020 Jun; 36(11):3385-3392. PubMed ID: 32215567
    [TBL] [Abstract][Full Text] [Related]  

  • 39. AMAP: Hierarchical multi-label prediction of biologically active and antimicrobial peptides.
    Gull S; Shamim N; Minhas F
    Comput Biol Med; 2019 Apr; 107():172-181. PubMed ID: 30831306
    [TBL] [Abstract][Full Text] [Related]  

  • 40. iQSP: A Sequence-Based Tool for the Prediction and Analysis of Quorum Sensing Peptides via Chou's 5-Steps Rule and Informative Physicochemical Properties.
    Charoenkwan P; Schaduangrat N; Nantasenamat C; Piacham T; Shoombuatong W
    Int J Mol Sci; 2019 Dec; 21(1):. PubMed ID: 31861928
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 10.