Connection

Emil Alexov to Computer Simulation

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

1.358
  1. DelPhiForce, a tool for electrostatic force calculations: Applications to macromolecular binding. J Comput Chem. 2017 04 05; 38(9):584-593.
    View in: PubMed
    Score: 0.107
  2. SAAMBE: Webserver to Predict the Charge of Binding Free Energy Caused by Amino Acids Mutations. Int J Mol Sci. 2016 Apr 12; 17(4):547.
    View in: PubMed
    Score: 0.101
  3. SAAFEC: Predicting the Effect of Single Point Mutations on Protein Folding Free Energy Using a Knowledge-Modified MM/PBSA Approach. Int J Mol Sci. 2016 Apr 07; 17(4):512.
    View in: PubMed
    Score: 0.101
  4. Revealing the Effects of Missense Mutations Causing Snyder-Robinson Syndrome on the Stability and Dimerization of Spermine Synthase. Int J Mol Sci. 2016 Jan 08; 17(1).
    View in: PubMed
    Score: 0.100
  5. Predicting Binding Free Energy Change Caused by Point Mutations with Knowledge-Modified MM/PBSA Method. PLoS Comput Biol. 2015 Jul; 11(7):e1004276.
    View in: PubMed
    Score: 0.096
  6. 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: 0.089
  7. Enhancing human spermine synthase activity by engineered mutations. PLoS Comput Biol. 2013; 9(2):e1002924.
    View in: PubMed
    Score: 0.082
  8. Analyzing effects of naturally occurring missense mutations. Comput Math Methods Med. 2012; 2012:805827.
    View in: PubMed
    Score: 0.077
  9. Developing hybrid approaches to predict pKa values of ionizable groups. Proteins. 2011 Dec; 79(12):3389-99.
    View in: PubMed
    Score: 0.073
  10. On the role of electrostatics in protein-protein interactions. Phys Biol. 2011 Jun; 8(3):035001.
    View in: PubMed
    Score: 0.072
  11. Optimization of electrostatic interactions in protein-protein complexes. Biophys J. 2007 Nov 15; 93(10):3340-52.
    View in: PubMed
    Score: 0.056
  12. Assessing the quality of the homology-modeled 3D structures from electrostatic standpoint: test on bacterial nucleoside monophosphate kinase families. J Bioinform Comput Biol. 2007 Jun; 5(3):693-715.
    View in: PubMed
    Score: 0.055
  13. Electrostatic control of the overall shape of calmodulin: numerical calculations. Eur Biophys J. 2007 Mar; 36(3):225-37.
    View in: PubMed
    Score: 0.054
  14. BANMOKI: a searchable database of homology-based 3D models and their electrostatic properties of five bacterial nucleoside monophosphate kinase families. Int J Biol Macromol. 2007 Jun 01; 41(1):114-9.
    View in: PubMed
    Score: 0.054
  15. Poisson-Boltzmann calculations of nonspecific salt effects on protein-protein binding free energies. Biophys J. 2007 Mar 15; 92(6):1891-9.
    View in: PubMed
    Score: 0.053
  16. Electrostatic properties of protein-protein complexes. Biophys J. 2006 Sep 01; 91(5):1724-36.
    View in: PubMed
    Score: 0.051
  17. Role of the protein side-chain fluctuations on the strength of pair-wise electrostatic interactions: comparing experimental with computed pK(a)s. Proteins. 2003 Jan 01; 50(1):94-103.
    View in: PubMed
    Score: 0.040
  18. A super-Gaussian Poisson-Boltzmann model for electrostatic free energy calculation: smooth dielectric distribution for protein cavities and in both water and vacuum states. J Math Biol. 2019 07; 79(2):631-672.
    View in: PubMed
    Score: 0.031
  19. Three additional patients with EED-associated overgrowth: potential mutation hotspots identified? J Hum Genet. 2019 Jun; 64(6):561-572.
    View in: PubMed
    Score: 0.031
  20. A novel p.Leu(381)Phe mutation in presenilin 1 is associated with very early onset and unusually fast progressing dementia as well as lysosomal inclusions typically seen in Kufs disease. J Alzheimers Dis. 2014; 39(1):23-7.
    View in: PubMed
    Score: 0.022
  21. Comparative study of generalized born models: Born radii and peptide folding. J Phys Chem B. 2005 Feb 24; 109(7):3008-22.
    View in: PubMed
    Score: 0.012
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.