Connection

OLIVIER LICHTARGE to Computer Simulation

This is a "connection" page, showing publications OLIVIER LICHTARGE has written about Computer Simulation.
Connection Strength

0.858
  1. Protein function prediction: towards integration of similarity metrics. Curr Opin Struct Biol. 2011 Apr; 21(2):180-8.
    View in: PubMed
    Score: 0.302
  2. On itinerant water molecules and detectability of protein-protein interfaces through comparative analysis of homologues. J Mol Biol. 2007 Jun 01; 369(2):584-95.
    View in: PubMed
    Score: 0.230
  3. Recurrent high-impact mutations at cognate structural positions in class A G protein-coupled receptors expressed in tumors. Proc Natl Acad Sci U S A. 2021 12 21; 118(51).
    View in: PubMed
    Score: 0.160
  4. CAGI SickKids challenges: Assessment of phenotype and variant predictions derived from clinical and genomic data of children with undiagnosed diseases. Hum Mutat. 2019 09; 40(9):1373-1391.
    View in: PubMed
    Score: 0.034
  5. Assessing the performance of in silico methods for predicting the pathogenicity of variants in the gene CHEK2, among Hispanic females with breast cancer. Hum Mutat. 2019 09; 40(9):1612-1622.
    View in: PubMed
    Score: 0.034
  6. Performance of in silico tools for the evaluation of p16INK4a (CDKN2A) variants in CAGI. Hum Mutat. 2017 09; 38(9):1042-1050.
    View in: PubMed
    Score: 0.029
  7. Meeting review: the Second meeting on the Critical Assessment of Techniques for Protein Structure Prediction (CASP2), Asilomar, California, December 13-16, 1996. Fold Des. 1997; 2(2):R27-42.
    View in: PubMed
    Score: 0.028
  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: 0.014
  9. Composite motifs integrating multiple protein structures increase sensitivity for function prediction. Comput Syst Bioinformatics Conf. 2007; 6:343-55.
    View in: PubMed
    Score: 0.014
  10. Cavity-aware motifs reduce false positives in protein function prediction. Comput Syst Bioinformatics Conf. 2006; 311-23.
    View in: PubMed
    Score: 0.013
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.