Connection

Emil Alexov to Proteins

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

13.419
  1. SAAMBE-SEQ: a sequence-based method for predicting mutation effect on protein-protein binding affinity. Bioinformatics. 2021 05 17; 37(7):992-999.
    View in: PubMed
    Score: 0.565
  2. SAAFEC-SEQ: A Sequence-Based Method for Predicting the Effect of Single Point Mutations on Protein Thermodynamic Stability. Int J Mol Sci. 2021 Jan 09; 22(2).
    View in: PubMed
    Score: 0.552
  3. BION-2: Predicting Positions of Non-Specifically Bound Ions on Protein Surface by a Gaussian-Based Treatment of Electrostatics. Int J Mol Sci. 2020 Dec 29; 22(1).
    View in: PubMed
    Score: 0.550
  4. SAAMBE-3D: Predicting Effect of Mutations on Protein-Protein Interactions. Int J Mol Sci. 2020 Apr 07; 21(7).
    View in: PubMed
    Score: 0.523
  5. Capturing the Effects of Explicit Waters in Implicit Electrostatics Modeling: Qualitative Justification of Gaussian-Based Dielectric Models in DelPhi. J Chem Inf Model. 2020 04 27; 60(4):2229-2246.
    View in: PubMed
    Score: 0.522
  6. PKAD: a database of experimentally measured pKa values of ionizable groups in proteins. Database (Oxford). 2019 01 01; 2019.
    View in: PubMed
    Score: 0.479
  7. DelPhiPKa: Including salt in the calculations and enabling polar residues to titrate. Proteins. 2018 12; 86(12):1277-1283.
    View in: PubMed
    Score: 0.473
  8. DelPhiForce web server: electrostatic forces and energy calculations and visualization. Bioinformatics. 2017 Nov 15; 33(22):3661-3663.
    View in: PubMed
    Score: 0.443
  9. A New DelPhi Feature for Modeling Electrostatic Potential around Proteins: Role of Bound Ions and Implications for Zeta-Potential. Langmuir. 2017 03 07; 33(9):2283-2295.
    View in: PubMed
    Score: 0.421
  10. 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: 0.419
  11. 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: 0.397
  12. Investigating the linkage between disease-causing amino acid variants and their effect on protein stability and binding. Proteins. 2016 Feb; 84(2):232-9.
    View in: PubMed
    Score: 0.390
  13. DelPhiPKa web server: predicting pKa of proteins, RNAs and DNAs. Bioinformatics. 2016 Feb 15; 32(4):614-5.
    View in: PubMed
    Score: 0.385
  14. Statistical investigation of surface bound ions and further development of BION server to include pH and salt dependence. J Comput Chem. 2015 Dec 15; 36(32):2381-93.
    View in: PubMed
    Score: 0.384
  15. 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: 0.384
  16. 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: 0.376
  17. 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: 0.366
  18. Molecular mechanisms of disease-causing missense mutations. J Mol Biol. 2013 Nov 01; 425(21):3919-36.
    View in: PubMed
    Score: 0.328
  19. Protonation and pK changes in protein-ligand binding. Q Rev Biophys. 2013 May; 46(2):181-209.
    View in: PubMed
    Score: 0.324
  20. BION web server: predicting non-specifically bound surface ions. Bioinformatics. 2013 Mar 15; 29(6):805-6.
    View in: PubMed
    Score: 0.318
  21. Protein Nano-Object Integrator (ProNOI) for generating atomic style objects for molecular modeling. BMC Struct Biol. 2012 Dec 05; 12:31.
    View in: PubMed
    Score: 0.315
  22. Predicting nonspecific ion binding using DelPhi. Biophys J. 2012 Jun 20; 102(12):2885-93.
    View in: PubMed
    Score: 0.305
  23. Predicting folding free energy changes upon single point mutations. Bioinformatics. 2012 Mar 01; 28(5):664-71.
    View in: PubMed
    Score: 0.296
  24. Progress in the prediction of pKa values in proteins. Proteins. 2011 Dec; 79(12):3260-75.
    View in: PubMed
    Score: 0.291
  25. On the role of electrostatics in protein-protein interactions. Phys Biol. 2011 Jun; 8(3):035001.
    View in: PubMed
    Score: 0.282
  26. On the pH-optimum of activity and stability of proteins. Proteins. 2010 Sep; 78(12):2699-706.
    View in: PubMed
    Score: 0.269
  27. Modeling effects of human single nucleotide polymorphisms on protein-protein interactions. Biophys J. 2009 Mar 18; 96(6):2178-88.
    View in: PubMed
    Score: 0.243
  28. Protein-protein interactions. Curr Pharm Biotechnol. 2008 Apr; 9(2):55-6.
    View in: PubMed
    Score: 0.228
  29. 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: 0.228
  30. Optimization of electrostatic interactions in protein-protein complexes. Biophys J. 2007 Nov 15; 93(10):3340-52.
    View in: PubMed
    Score: 0.218
  31. Predicting interacting and interfacial residues using continuous sequence segments. Int J Biol Macromol. 2007 Dec 01; 41(5):615-23.
    View in: PubMed
    Score: 0.218
  32. 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: 0.209
  33. Predicting 3D structures of transient protein-protein complexes by homology. Biochim Biophys Acta. 2006 Sep; 1764(9):1498-511.
    View in: PubMed
    Score: 0.203
  34. Electrostatic properties of protein-protein complexes. Biophys J. 2006 Sep 01; 91(5):1724-36.
    View in: PubMed
    Score: 0.201
  35. Numerical calculations of the pH of maximal protein stability. The effect of the sequence composition and three-dimensional structure. Eur J Biochem. 2004 Jan; 271(1):173-85.
    View in: PubMed
    Score: 0.169
  36. 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: 0.158
  37. Electrostatics in Computational Biophysics and Its Implications for Disease Effects. Int J Mol Sci. 2022 Sep 07; 23(18).
    View in: PubMed
    Score: 0.155
  38. On regularization of charge singularities in solving the Poisson-Boltzmann equation with a smooth solute-solvent boundary. Math Biosci Eng. 2021 01 21; 18(2):1370-1405.
    View in: PubMed
    Score: 0.138
  39. A pragmatic approach to structure based calculation of coupled proton and electron transfer in proteins. Biochim Biophys Acta. 2000 May 12; 1458(1):63-87.
    View in: PubMed
    Score: 0.132
  40. 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: 0.123
  41. Structural Perspective on Revealing and Altering Molecular Functions of Genetic Variants Linked with Diseases. Int J Mol Sci. 2019 Jan 28; 20(3).
    View in: PubMed
    Score: 0.120
  42. 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: 0.099
  43. ProBLM web server: protein and membrane placement and orientation package. Comput Math Methods Med. 2014; 2014:838259.
    View in: PubMed
    Score: 0.088
  44. Predicting residue contacts using pragmatic correlated mutations method: reducing the false positives. BMC Bioinformatics. 2006 Nov 16; 7:503.
    View in: PubMed
    Score: 0.052
  45. On the role of structural information in remote homology detection and sequence alignment: new methods using hybrid sequence profiles. J Mol Biol. 2003 Dec 12; 334(5):1043-62.
    View in: PubMed
    Score: 0.042
  46. Using multiple structure alignments, fast model building, and energetic analysis in fold recognition and homology modeling. Proteins. 2003; 53 Suppl 6:430-5.
    View in: PubMed
    Score: 0.040
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.