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 *

282 related articles for article (PubMed ID: 28483566)

  • 41. Prediction of protein structural classes for low-similarity sequences using reduced PSSM and position-based secondary structural features.
    Wang J; Wang C; Cao J; Liu X; Yao Y; Dai Q
    Gene; 2015 Jan; 554(2):241-8. PubMed ID: 25445293
    [TBL] [Abstract][Full Text] [Related]  

  • 42. Robust and accurate prediction of protein self-interactions from amino acids sequence using evolutionary information.
    An JY; You ZH; Chen X; Huang DS; Yan G; Wang DF
    Mol Biosyst; 2016 Nov; 12(12):3702-3710. PubMed ID: 27759121
    [TBL] [Abstract][Full Text] [Related]  

  • 43. Prediction of posttranslational modification sites from amino acid sequences with kernel methods.
    Xu Y; Wang X; Wang Y; Tian Y; Shao X; Wu LY; Deng N
    J Theor Biol; 2014 Mar; 344():78-87. PubMed ID: 24291233
    [TBL] [Abstract][Full Text] [Related]  

  • 44. EL_PSSM-RT: DNA-binding residue prediction by integrating ensemble learning with PSSM Relation Transformation.
    Zhou J; Lu Q; Xu R; He Y; Wang H
    BMC Bioinformatics; 2017 Aug; 18(1):379. PubMed ID: 28851273
    [TBL] [Abstract][Full Text] [Related]  

  • 45. MDCAN-Lys: A Model for Predicting Succinylation Sites Based on Multilane Dense Convolutional Attention Network.
    Wang H; Zhao H; Yan Z; Zhao J; Han J
    Biomolecules; 2021 Jun; 11(6):. PubMed ID: 34208298
    [TBL] [Abstract][Full Text] [Related]  

  • 46. GlyStruct: glycation prediction using structural properties of amino acid residues.
    Reddy HM; Sharma A; Dehzangi A; Shigemizu D; Chandra AA; Tsunoda T
    BMC Bioinformatics; 2019 Feb; 19(Suppl 13):547. PubMed ID: 30717650
    [TBL] [Abstract][Full Text] [Related]  

  • 47. A protein structural classes prediction method based on PSI-BLAST profile.
    Ding S; Yan S; Qi S; Li Y; Yao Y
    J Theor Biol; 2014 Jul; 353():19-23. PubMed ID: 24607742
    [TBL] [Abstract][Full Text] [Related]  

  • 48. Computational Prediction of Protein Epsilon Lysine Acetylation Sites Based on a Feature Selection Method.
    Gao J; Tao XW; Zhao J; Feng YM; Cai YD; Zhang N
    Comb Chem High Throughput Screen; 2017; 20(7):629-637. PubMed ID: 28292250
    [TBL] [Abstract][Full Text] [Related]  

  • 49. Global Analysis of Protein Lysine Succinylation Profiles and Their Overlap with Lysine Acetylation in the Marine Bacterium Vibrio parahemolyticus.
    Pan J; Chen R; Li C; Li W; Ye Z
    J Proteome Res; 2015 Oct; 14(10):4309-18. PubMed ID: 26369940
    [TBL] [Abstract][Full Text] [Related]  

  • 50. Detecting Succinylation sites from protein sequences using ensemble support vector machine.
    Ning Q; Zhao X; Bao L; Ma Z; Zhao X
    BMC Bioinformatics; 2018 Jun; 19(1):237. PubMed ID: 29940836
    [TBL] [Abstract][Full Text] [Related]  

  • 51. Real value prediction of protein solvent accessibility using enhanced PSSM features.
    Chang DT; Huang HY; Syu YT; Wu CP
    BMC Bioinformatics; 2008 Dec; 9 Suppl 12(Suppl 12):S12. PubMed ID: 19091011
    [TBL] [Abstract][Full Text] [Related]  

  • 52. Analysis and prediction of human acetylation using a cascade classifier based on support vector machine.
    Ning Q; Yu M; Ji J; Ma Z; Zhao X
    BMC Bioinformatics; 2019 Jun; 20(1):346. PubMed ID: 31208321
    [TBL] [Abstract][Full Text] [Related]  

  • 53. Large-Scale Assessment of Bioinformatics Tools for Lysine Succinylation Sites.
    Hasan MM; Khatun MS; Kurata H
    Cells; 2019 Jan; 8(2):. PubMed ID: 30696115
    [TBL] [Abstract][Full Text] [Related]  

  • 54. First succinyl-proteome profiling of extensively drug-resistant Mycobacterium tuberculosis revealed involvement of succinylation in cellular physiology.
    Xie L; Liu W; Li Q; Chen S; Xu M; Huang Q; Zeng J; Zhou M; Xie J
    J Proteome Res; 2015 Jan; 14(1):107-19. PubMed ID: 25363132
    [TBL] [Abstract][Full Text] [Related]  

  • 55. pSuc-EDBAM: Predicting lysine succinylation sites in proteins based on ensemble dense blocks and an attention module.
    Jia J; Wu G; Li M; Qiu W
    BMC Bioinformatics; 2022 Oct; 23(1):450. PubMed ID: 36316638
    [TBL] [Abstract][Full Text] [Related]  

  • 56. predML-Site: Predicting Multiple Lysine PTM Sites With Optimal Feature Representation and Data Imbalance Minimization.
    Ahmed S; Rahman A; Hasan MAM; Rahman J; Islam MKB; Ahmad S
    IEEE/ACM Trans Comput Biol Bioinform; 2022; 19(6):3624-3634. PubMed ID: 34546927
    [TBL] [Abstract][Full Text] [Related]  

  • 57. Prediction of lysine ubiquitination with mRMR feature selection and analysis.
    Cai Y; Huang T; Hu L; Shi X; Xie L; Li Y
    Amino Acids; 2012 Apr; 42(4):1387-95. PubMed ID: 21267749
    [TBL] [Abstract][Full Text] [Related]  

  • 58. Bi-PSSM: Position specific scoring matrix based intelligent computational model for identification of mycobacterial membrane proteins.
    Khan M; Hayat M; Khan SA; Ahmad S; Iqbal N
    J Theor Biol; 2017 Dec; 435():116-124. PubMed ID: 28927812
    [TBL] [Abstract][Full Text] [Related]  

  • 59. PredCSO: an ensemble method for the prediction of S-sulfenylation sites in proteins.
    Deng L; Xu X; Liu H
    Mol Omics; 2018 Aug; 14(4):257-265. PubMed ID: 29942948
    [TBL] [Abstract][Full Text] [Related]  

  • 60. Accurately Predicting Glutarylation Sites Using Sequential Bi-Peptide-Based Evolutionary Features.
    Arafat ME; Ahmad MW; Shovan SM; Dehzangi A; Dipta SR; Hasan MAM; Taherzadeh G; Shatabda S; Sharma A
    Genes (Basel); 2020 Aug; 11(9):. PubMed ID: 32878321
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 15.