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 *

105 related articles for article (PubMed ID: 18942163)

  • 1. Long-range information and physicality constraints improve predicted protein contact maps.
    Martin AJ; Baù D; Vullo A; Walsh I; Pollastri G
    J Bioinform Comput Biol; 2008 Oct; 6(5):1001-20. PubMed ID: 18942163
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Ab initio and template-based prediction of multi-class distance maps by two-dimensional recursive neural networks.
    Walsh I; Baù D; Martin AJ; Mooney C; Vullo A; Pollastri G
    BMC Struct Biol; 2009 Jan; 9():5. PubMed ID: 19183478
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A two-stage approach for improved prediction of residue contact maps.
    Vullo A; Walsh I; Pollastri G
    BMC Bioinformatics; 2006 Mar; 7():180. PubMed ID: 16573808
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Improved residue contact prediction using support vector machines and a large feature set.
    Cheng J; Baldi P
    BMC Bioinformatics; 2007 Apr; 8():113. PubMed ID: 17407573
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A bi-recursive neural network architecture for the prediction of protein coarse contact maps.
    Vullo A; Frasconi P
    Proc IEEE Comput Soc Bioinform Conf; 2002; 1():187-96. PubMed ID: 15838135
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of contact maps with neural networks and correlated mutations.
    Fariselli P; Olmea O; Valencia A; Casadio R
    Protein Eng; 2001 Nov; 14(11):835-43. PubMed ID: 11742102
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Divide and Conquer Approach to Contact Map Overlap Problem Using 2D-Pattern Mining of Protein Contact Networks.
    Koneru SV; Bhavani DS
    IEEE/ACM Trans Comput Biol Bioinform; 2015; 12(4):729-37. PubMed ID: 26357311
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Accurate prediction of protein contact maps by coupling residual two-dimensional bidirectional long short-term memory with convolutional neural networks.
    Hanson J; Paliwal K; Litfin T; Yang Y; Zhou Y
    Bioinformatics; 2018 Dec; 34(23):4039-4045. PubMed ID: 29931279
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Reconstruction of 3D structures from protein contact maps.
    Vassura M; Margara L; Di Lena P; Medri F; Fariselli P; Casadio R
    IEEE/ACM Trans Comput Biol Bioinform; 2008; 5(3):357-67. PubMed ID: 18670040
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Toward an accurate prediction of inter-residue distances in proteins using 2D recursive neural networks.
    Kukic P; Mirabello C; Tradigo G; Walsh I; Veltri P; Pollastri G
    BMC Bioinformatics; 2014 Jan; 15():6. PubMed ID: 24410833
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model.
    Wang S; Sun S; Li Z; Zhang R; Xu J
    PLoS Comput Biol; 2017 Jan; 13(1):e1005324. PubMed ID: 28056090
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of contact maps by GIOHMMs and recurrent neural networks using lateral propagation from all four cardinal corners.
    Pollastri G; Baldi P
    Bioinformatics; 2002; 18 Suppl 1():S62-70. PubMed ID: 12169532
    [TBL] [Abstract][Full Text] [Related]  

  • 13. FT-COMAR: fault tolerant three-dimensional structure reconstruction from protein contact maps.
    Vassura M; Margara L; Di Lena P; Medri F; Fariselli P; Casadio R
    Bioinformatics; 2008 May; 24(10):1313-5. PubMed ID: 18381401
    [TBL] [Abstract][Full Text] [Related]  

  • 14. CNNcon: improved protein contact maps prediction using cascaded neural networks.
    Ding W; Xie J; Dai D; Zhang H; Xie H; Zhang W
    PLoS One; 2013; 8(4):e61533. PubMed ID: 23626696
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Bio-basis function neural network for prediction of protease cleavage sites in proteins.
    Yang ZR; Thomson R
    IEEE Trans Neural Netw; 2005 Jan; 16(1):263-74. PubMed ID: 15732405
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Striped sheets and protein contact prediction.
    MacCallum RM
    Bioinformatics; 2004 Aug; 20 Suppl 1():i224-31. PubMed ID: 15262803
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predicting disulfide connectivity from protein sequence using multiple sequence feature vectors and secondary structure.
    Song J; Yuan Z; Tan H; Huber T; Burrage K
    Bioinformatics; 2007 Dec; 23(23):3147-54. PubMed ID: 17942444
    [TBL] [Abstract][Full Text] [Related]  

  • 18. DNCON2: improved protein contact prediction using two-level deep convolutional neural networks.
    Adhikari B; Hou J; Cheng J
    Bioinformatics; 2018 May; 34(9):1466-1472. PubMed ID: 29228185
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Con-Struct Map: a comparative contact map analysis tool.
    Chung JL; Beaver JE; Scheeff ED; Bourne PE
    Bioinformatics; 2007 Sep; 23(18):2491-2. PubMed ID: 17709340
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Assessing Predicted Contacts for Building Protein Three-Dimensional Models.
    Adhikari B; Bhattacharya D; Cao R; Cheng J
    Methods Mol Biol; 2017; 1484():115-126. PubMed ID: 27787823
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 6.