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 *

224 related articles for article (PubMed ID: 19273533)

  • 21. Prediction of hot spots in protein-DNA binding interfaces based on supervised isometric feature mapping and extreme gradient boosting.
    Li K; Zhang S; Yan D; Bin Y; Xia J
    BMC Bioinformatics; 2020 Sep; 21(Suppl 13):381. PubMed ID: 32938395
    [TBL] [Abstract][Full Text] [Related]  

  • 22. A semi-supervised boosting SVM for predicting hot spots at protein-protein interfaces.
    Xu B; Wei X; Deng L; Guan J; Zhou S
    BMC Syst Biol; 2012; 6 Suppl 2(Suppl 2):S6. PubMed ID: 23282146
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Computationally identifying hot spots in protein-DNA binding interfaces using an ensemble approach.
    Pan Y; Zhou S; Guan J
    BMC Bioinformatics; 2020 Sep; 21(Suppl 13):384. PubMed ID: 32938375
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Protein binding hot spots and the residue-residue pairing preference: a water exclusion perspective.
    Liu Q; Li J
    BMC Bioinformatics; 2010 May; 11():244. PubMed ID: 20462403
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Physicochemical descriptors to discriminate protein-protein interactions in permanent and transient complexes selected by means of machine learning algorithms.
    Block P; Paern J; Hüllermeier E; Sanschagrin P; Sotriffer CA; Klebe G
    Proteins; 2006 Nov; 65(3):607-22. PubMed ID: 16955490
    [TBL] [Abstract][Full Text] [Related]  

  • 26. An improved DNA-binding hot spot residues prediction method by exploring interfacial neighbor properties.
    Zhang S; Wang L; Zhao L; Li M; Liu M; Li K; Bin Y; Xia J
    BMC Bioinformatics; 2021 May; 22(Suppl 3):253. PubMed ID: 34000983
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Are hot-spots occluded from water?
    Moreira IS; Ramos RM; Martins JM; Fernandes PA; Ramos MJ
    J Biomol Struct Dyn; 2014; 32(2):186-97. PubMed ID: 23384183
    [TBL] [Abstract][Full Text] [Related]  

  • 28. A Computational Investigation of Small-Molecule Engagement of Hot Spots at Protein-Protein Interaction Interfaces.
    Xu D; Si Y; Meroueh SO
    J Chem Inf Model; 2017 Sep; 57(9):2250-2272. PubMed ID: 28766941
    [TBL] [Abstract][Full Text] [Related]  

  • 29. HotPoint: hot spot prediction server for protein interfaces.
    Tuncbag N; Keskin O; Gursoy A
    Nucleic Acids Res; 2010 Jul; 38(Web Server issue):W402-6. PubMed ID: 20444871
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Seminal quality prediction using data mining methods.
    Sahoo AJ; Kumar Y
    Technol Health Care; 2014; 22(4):531-45. PubMed ID: 24898862
    [TBL] [Abstract][Full Text] [Related]  

  • 31. HotSprint: database of computational hot spots in protein interfaces.
    Guney E; Tuncbag N; Keskin O; Gursoy A
    Nucleic Acids Res; 2008 Jan; 36(Database issue):D662-6. PubMed ID: 17959648
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Prediction of hot spots in protein-DNA binding interfaces based on discrete wavelet transform and wavelet packet transform.
    Sun Y; Wu H; Xu Z; Yue Z; Li K
    BMC Bioinformatics; 2023 Apr; 24(1):129. PubMed ID: 37016308
    [TBL] [Abstract][Full Text] [Related]  

  • 33. SpotOn: High Accuracy Identification of Protein-Protein Interface Hot-Spots.
    Moreira IS; Koukos PI; Melo R; Almeida JG; Preto AJ; Schaarschmidt J; Trellet M; Gümüş ZH; Costa J; Bonvin AMJJ
    Sci Rep; 2017 Aug; 7(1):8007. PubMed ID: 28808256
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Accurate prediction of hot spot residues through physicochemical characteristics of amino acid sequences.
    Chen P; Li J; Wong L; Kuwahara H; Huang JZ; Gao X
    Proteins; 2013 Aug; 81(8):1351-62. PubMed ID: 23504705
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Protein subunit interfaces: A statistical analysis of hot spots in Sm proteins.
    Stojanović SD; Zarić BL; Zarić SD
    J Mol Model; 2010 Nov; 16(11):1743-51. PubMed ID: 20652820
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Boosting prediction performance of protein-protein interaction hot spots by using structural neighborhood properties.
    Deng L; Guan J; Wei X; Yi Y; Zhang QC; Zhou S
    J Comput Biol; 2013 Nov; 20(11):878-91. PubMed ID: 24134392
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Protein-protein interface analysis and hot spots identification for chemical ligand design.
    Chen J; Ma X; Yuan Y; Pei J; Lai L
    Curr Pharm Des; 2014; 20(8):1192-200. PubMed ID: 23713772
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Predicting Hot Spots Using a Deep Neural Network Approach.
    Preto AJ; Matos-Filipe P; de Almeida JG; Mourão J; Moreira IS
    Methods Mol Biol; 2021; 2190():267-288. PubMed ID: 32804371
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Prediction of Hot Regions in PPIs Based on Improved Local Community Structure Detecting.
    Xiaoli Lin ; Xiaolong Zhang
    IEEE/ACM Trans Comput Biol Bioinform; 2018; 15(5):1470-1479. PubMed ID: 29994749
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Densest subgraph-based methods for protein-protein interaction hot spot prediction.
    Li R; Lee JY; Yang JM; Akutsu T
    BMC Bioinformatics; 2022 Oct; 23(1):451. PubMed ID: 36316653
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 12.