Connection

Emil Alexov to Polymorphism, Single Nucleotide

This is a "connection" page, showing publications Emil Alexov has written about Polymorphism, Single Nucleotide.
Connection Strength

1.867
  1. An Ensemble Approach to Predict the Pathogenicity of Synonymous Variants. Genes (Basel). 2020 09 21; 11(9).
    View in: PubMed
    Score: 0.584
  2. Computational and experimental approaches to reveal the effects of single nucleotide polymorphisms with respect to disease diagnostics. Int J Mol Sci. 2014 May 30; 15(6):9670-717.
    View in: PubMed
    Score: 0.377
  3. Modeling effects of human single nucleotide polymorphisms on protein-protein interactions. Biophys J. 2009 Mar 18; 96(6):2178-88.
    View in: PubMed
    Score: 0.263
  4. Approaches and resources for prediction of the effects of non-synonymous single nucleotide polymorphism on protein function and interactions. Curr Pharm Biotechnol. 2008 Apr; 9(2):123-33.
    View in: PubMed
    Score: 0.246
  5. Forces and Disease: Electrostatic force differences caused by mutations in kinesin motor domains can distinguish between disease-causing and non-disease-causing mutations. Sci Rep. 2017 08 15; 7(1):8237.
    View in: PubMed
    Score: 0.118
  6. Structural and physico-chemical effects of disease and non-disease nsSNPs on proteins. Curr Opin Struct Biol. 2015 Jun; 32:18-24.
    View in: PubMed
    Score: 0.099
  7. Analyzing effects of naturally occurring missense mutations. Comput Math Methods Med. 2012; 2012:805827.
    View in: PubMed
    Score: 0.081
  8. A missense mutation in CLIC2 associated with intellectual disability is predicted by in silico modeling to affect protein stability and dynamics. Proteins. 2011 Aug; 79(8):2444-54.
    View in: PubMed
    Score: 0.077
  9. A mutation in a ganglioside biosynthetic enzyme, ST3GAL5, results in salt & pepper syndrome, a neurocutaneous disorder with altered glycolipid and glycoprotein glycosylation. Hum Mol Genet. 2014 Jan 15; 23(2):418-33.
    View in: PubMed
    Score: 0.022
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.