Connection

Emil Alexov to Models, Chemical

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

3.676
  1. DelPhiPKa: Including salt in the calculations and enabling polar residues to titrate. Proteins. 2018 12; 86(12):1277-1283.
    View in: PubMed
    Score: 0.575
  2. 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: 0.457
  3. Modeling the electrostatic potential of asymmetric lipopolysaccharide membranes: the MEMPOT algorithm implemented in DelPhi. J Comput Chem. 2014 Jul 15; 35(19):1418-1429.
    View in: PubMed
    Score: 0.422
  4. Protein-protein interactions. Curr Pharm Biotechnol. 2008 Apr; 9(2):55-6.
    View in: PubMed
    Score: 0.276
  5. 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: 0.276
  6. Electrostatic control of the overall shape of calmodulin: numerical calculations. Eur Biophys J. 2007 Mar; 36(3):225-37.
    View in: PubMed
    Score: 0.255
  7. 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: 0.254
  8. Electrostatic properties of protein-protein complexes. Biophys J. 2006 Sep 01; 91(5):1724-36.
    View in: PubMed
    Score: 0.244
  9. 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: 0.149
  10. Incorporating protein conformational flexibility into the calculation of pH-dependent protein properties. Biophys J. 1997 May; 72(5):2075-93.
    View in: PubMed
    Score: 0.130
  11. 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: 0.127
  12. pKa predictions for proteins, RNAs, and DNAs with the Gaussian dielectric function using DelPhi pKa. Proteins. 2015 Dec; 83(12):2186-97.
    View in: PubMed
    Score: 0.117
  13. Progress in the prediction of pKa values in proteins. Proteins. 2011 Dec; 79(12):3260-75.
    View in: PubMed
    Score: 0.088
  14. Developing hybrid approaches to predict pKa values of ionizable groups. Proteins. 2011 Dec; 79(12):3389-99.
    View in: PubMed
    Score: 0.087
  15. On the role of electrostatics in protein-protein interactions. Phys Biol. 2011 Jun; 8(3):035001.
    View in: PubMed
    Score: 0.086
  16. Calculating proton uptake/release and binding free energy taking into account ionization and conformation changes induced by protein-inhibitor association: application to plasmepsin, cathepsin D and endothiapepsin-pepstatin complexes. Proteins. 2004 Aug 15; 56(3):572-84.
    View in: PubMed
    Score: 0.054
  17. Modeling the effects of mutations on the free energy of the first electron transfer from QA- to QB in photosynthetic reaction centers. Biochemistry. 2000 May 23; 39(20):5940-52.
    View in: PubMed
    Score: 0.040
  18. Calculated protein and proton motions coupled to electron transfer: electron transfer from QA- to QB in bacterial photosynthetic reaction centers. Biochemistry. 1999 Jun 29; 38(26):8253-70.
    View in: PubMed
    Score: 0.038
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.