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 *

140 related articles for article (PubMed ID: 32858174)

  • 1. Prediction of membrane protein types by fusing protein-protein interaction and protein sequence information.
    Zhang X; Chen L
    Biochim Biophys Acta Proteins Proteom; 2020 Dec; 1868(12):140524. PubMed ID: 32858174
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition.
    Hayat M; Khan A
    J Theor Biol; 2011 Feb; 271(1):10-7. PubMed ID: 21110985
    [TBL] [Abstract][Full Text] [Related]  

  • 3. iMem-2LSAAC: A two-level model for discrimination of membrane proteins and their types by extending the notion of SAAC into chou's pseudo amino acid composition.
    Arif M; Hayat M; Jan Z
    J Theor Biol; 2018 Apr; 442():11-21. PubMed ID: 29337263
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of multi-type membrane proteins in human by an integrated approach.
    Huang G; Zhang Y; Chen L; Zhang N; Huang T; Cai YD
    PLoS One; 2014; 9(3):e93553. PubMed ID: 24676214
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Predicting protein-protein interactions from primary protein sequences using a novel multi-scale local feature representation scheme and the random forest.
    You ZH; Chan KC; Hu P
    PLoS One; 2015; 10(5):e0125811. PubMed ID: 25946106
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Classification of membrane protein types using Voting Feature Interval in combination with Chou's Pseudo Amino Acid Composition.
    Ali F; Hayat M
    J Theor Biol; 2015 Nov; 384():78-83. PubMed ID: 26297889
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predicting membrane protein types by the LLDA algorithm.
    Wang T; Yang J; Shen HB; Chou KC
    Protein Pept Lett; 2008; 15(9):915-21. PubMed ID: 18991767
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Combining SVM and ECOC for Identification of Protein Complexes from Protein Protein Interaction Networks by Integrating Amino Acids' Physical Properties and Complex Topology.
    Faridoon A; Sikandar A; Imran M; Ghouri S; Sikandar M; Sikandar W
    Interdiscip Sci; 2020 Sep; 12(3):264-275. PubMed ID: 32441001
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting protein-protein interactions by fusing various Chou's pseudo components and using wavelet denoising approach.
    Tian B; Wu X; Chen C; Qiu W; Ma Q; Yu B
    J Theor Biol; 2019 Feb; 462():329-346. PubMed ID: 30452960
    [TBL] [Abstract][Full Text] [Related]  

  • 11. DPP-PseAAC: A DNA-binding protein prediction model using Chou's general PseAAC.
    Rahman MS; Shatabda S; Saha S; Kaykobad M; Rahman MS
    J Theor Biol; 2018 Sep; 452():22-34. PubMed ID: 29753757
    [TBL] [Abstract][Full Text] [Related]  

  • 12. [The study on the characters of membrane protein interaction and its network based on integrated intelligence method].
    Shen Y; Ding Y; Hao K
    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi; 2011 Aug; 28(4):658-62. PubMed ID: 21936357
    [TBL] [Abstract][Full Text] [Related]  

  • 13. SiPAN: simultaneous prediction and alignment of protein-protein interaction networks.
    Alkan F; Erten C
    Bioinformatics; 2015 Jul; 31(14):2356-63. PubMed ID: 25788620
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Mem-PHybrid: hybrid features-based prediction system for classifying membrane protein types.
    Hayat M; Khan A
    Anal Biochem; 2012 May; 424(1):35-44. PubMed ID: 22342883
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Protein-Protein Interactions Prediction Based on Graph Energy and Protein Sequence Information.
    Xu D; Xu H; Zhang Y; Chen W; Gao R
    Molecules; 2020 Apr; 25(8):. PubMed ID: 32316294
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A two-stage SVM method to predict membrane protein types by incorporating amino acid classifications and physicochemical properties into a general form of Chou's PseAAC.
    Han GS; Yu ZG; Anh V
    J Theor Biol; 2014 Mar; 344():31-9. PubMed ID: 24316387
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prioritization of candidate disease genes by enlarging the seed set and fusing information of the network topology and gene expression.
    Zhang SW; Shao DD; Zhang SY; Wang YB
    Mol Biosyst; 2014 Jun; 10(6):1400-8. PubMed ID: 24695957
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A Treatise to Computational Approaches Towards Prediction of Membrane Protein and Its Subtypes.
    Butt AH; Rasool N; Khan YD
    J Membr Biol; 2017 Feb; 250(1):55-76. PubMed ID: 27866233
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Accurate prediction of protein-protein interactions by integrating potential evolutionary information embedded in PSSM profile and discriminative vector machine classifier.
    Li ZW; You ZH; Chen X; Li LP; Huang DS; Yan GY; Nie R; Huang YA
    Oncotarget; 2017 Apr; 8(14):23638-23649. PubMed ID: 28423569
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Predicting membrane proteins and their types by extracting various sequence features into Chou's general PseAAC.
    Butt AH; Rasool N; Khan YD
    Mol Biol Rep; 2018 Dec; 45(6):2295-2306. PubMed ID: 30238411
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.