Connection

OLIVIER LICHTARGE to Sequence Analysis, Protein

This is a "connection" page, showing publications OLIVIER LICHTARGE has written about Sequence Analysis, Protein.
Connection Strength

2.331
  1. UET: a database of evolutionarily-predicted functional determinants of protein sequences that cluster as functional sites in protein structures. Nucleic Acids Res. 2016 Jan 04; 44(D1):D308-12.
    View in: PubMed
    Score: 0.512
  2. Accounting for epistatic interactions improves the functional analysis of protein structures. Bioinformatics. 2013 Nov 01; 29(21):2714-21.
    View in: PubMed
    Score: 0.440
  3. Background frequencies for residue variability estimates: BLOSUM revisited. BMC Bioinformatics. 2007 Dec 27; 8:488.
    View in: PubMed
    Score: 0.296
  4. Graph sharpening plus graph integration: a synergy that improves protein functional classification. Bioinformatics. 2007 Dec 01; 23(23):3217-24.
    View in: PubMed
    Score: 0.293
  5. A structure and evolution-guided Monte Carlo sequence selection strategy for multiple alignment-based analysis of proteins. Bioinformatics. 2006 Jan 15; 22(2):149-56.
    View in: PubMed
    Score: 0.256
  6. An evolution based classifier for prediction of protein interfaces without using protein structures. Bioinformatics. 2005 May 15; 21(10):2496-501.
    View in: PubMed
    Score: 0.243
  7. Evolutionary trace annotation of protein function in the structural proteome. J Mol Biol. 2010 Mar 12; 396(5):1451-73.
    View in: PubMed
    Score: 0.085
  8. Cavity scaling: automated refinement of cavity-aware motifs in protein function prediction. J Bioinform Comput Biol. 2007 Apr; 5(2a):353-82.
    View in: PubMed
    Score: 0.070
  9. Composite motifs integrating multiple protein structures increase sensitivity for function prediction. Comput Syst Bioinformatics Conf. 2007; 6:343-55.
    View in: PubMed
    Score: 0.069
  10. ET viewer: an application for predicting and visualizing functional sites in protein structures. Bioinformatics. 2006 Aug 15; 22(16):2049-50.
    View in: PubMed
    Score: 0.067
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.