Emil Alexov to Protein Binding
This is a "connection" page, showing publications Emil Alexov has written about Protein Binding.
Connection Strength
3.838
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In silico modeling of pH-optimum of protein-protein binding. Proteins. 2011 Mar; 79(3):925-36.
Score: 0.287
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Poisson-Boltzmann calculations of nonspecific salt effects on protein-protein binding free energies. Biophys J. 2007 Mar 15; 92(6):1891-9.
Score: 0.218
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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.
Score: 0.185
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SAAMBE-SEQ: a sequence-based method for predicting mutation effect on protein-protein binding affinity. Bioinformatics. 2021 05 17; 37(7):992-999.
Score: 0.147
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SAAMBE-3D: Predicting Effect of Mutations on Protein-Protein Interactions. Int J Mol Sci. 2020 Apr 07; 21(7).
Score: 0.137
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Novel Genetic Markers for Early Detection of Elevated Breast Cancer Risk in Women. Int J Mol Sci. 2019 Sep 28; 20(19).
Score: 0.132
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Processivity vs. Beating: Comparing Cytoplasmic and Axonemal Dynein Microtubule Binding Domain Association with Microtubule. Int J Mol Sci. 2019 Mar 03; 20(5).
Score: 0.127
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E-hooks provide guidance and a soft landing for the microtubule binding domain of dynein. Sci Rep. 2018 09 05; 8(1):13266.
Score: 0.122
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Predicting protein-DNA binding free energy change upon missense mutations using modified MM/PBSA approach: SAMPDI webserver. Bioinformatics. 2018 03 01; 34(5):779-786.
Score: 0.118
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DelPhiForce web server: electrostatic forces and energy calculations and visualization. Bioinformatics. 2017 Nov 15; 33(22):3661-3663.
Score: 0.116
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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.
Score: 0.114
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DelPhiForce, a tool for electrostatic force calculations: Applications to macromolecular binding. J Comput Chem. 2017 04 05; 38(9):584-593.
Score: 0.109
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Computational investigation of proton transfer, pKa shifts and pH-optimum of protein-DNA and protein-RNA complexes. Proteins. 2017 Feb; 85(2):282-295.
Score: 0.109
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Cofactors-loaded quaternary structure of lysine-specific demethylase 5C (KDM5C) protein: Computational model. Proteins. 2016 12; 84(12):1797-1809.
Score: 0.107
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Cytoplasmic dynein binding, run length, and velocity are guided by long-range electrostatic interactions. Sci Rep. 2016 08 17; 6:31523.
Score: 0.106
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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.
Score: 0.104
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Multiscale method for modeling binding phenomena involving large objects: application to kinesin motor domains motion along microtubules. Sci Rep. 2016 Mar 18; 6:23249.
Score: 0.103
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Investigating the linkage between disease-causing amino acid variants and their effect on protein stability and binding. Proteins. 2016 Feb; 84(2):232-9.
Score: 0.102
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Mutations in the KDM5C ARID Domain and Their Plausible Association with Syndromic Claes-Jensen-Type Disease. Int J Mol Sci. 2015 Nov 13; 16(11):27270-87.
Score: 0.101
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Impact of Rett Syndrome Mutations on MeCP2 MBD Stability. Biochemistry. 2015 Oct 20; 54(41):6357-68.
Score: 0.100
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Predicting Binding Free Energy Change Caused by Point Mutations with Knowledge-Modified MM/PBSA Method. PLoS Comput Biol. 2015 Jul; 11(7):e1004276.
Score: 0.098
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On human disease-causing amino acid variants: statistical study of sequence and structural patterns. Hum Mutat. 2015 May; 36(5):524-534.
Score: 0.097
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Structural and physico-chemical effects of disease and non-disease nsSNPs on proteins. Curr Opin Struct Biol. 2015 Jun; 32:18-24.
Score: 0.095
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Chronic Beryllium Disease: revealing the role of beryllium ion and small peptides binding to HLA-DP2. PLoS One. 2014; 9(11):e111604.
Score: 0.094
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Protonation and pK changes in protein-ligand binding. Q Rev Biophys. 2013 May; 46(2):181-209.
Score: 0.084
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A rational free energy-based approach to understanding and targeting disease-causing missense mutations. J Am Med Inform Assoc. 2013 Jul-Aug; 20(4):643-51.
Score: 0.083
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The role of protonation states in ligand-receptor recognition and binding. Curr Pharm Des. 2013; 19(23):4182-90.
Score: 0.083
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Predicting nonspecific ion binding using DelPhi. Biophys J. 2012 Jun 20; 102(12):2885-93.
Score: 0.080
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On the role of electrostatics in protein-protein interactions. Phys Biol. 2011 Jun; 8(3):035001.
Score: 0.074
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Modeling effects of human single nucleotide polymorphisms on protein-protein interactions. Biophys J. 2009 Mar 18; 96(6):2178-88.
Score: 0.063
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Protein-protein interactions. Curr Pharm Biotechnol. 2008 Apr; 9(2):55-6.
Score: 0.059
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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.
Score: 0.059
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Optimization of electrostatic interactions in protein-protein complexes. Biophys J. 2007 Nov 15; 93(10):3340-52.
Score: 0.057
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Electrostatic properties of protein-protein complexes. Biophys J. 2006 Sep 01; 91(5):1724-36.
Score: 0.052
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Structural Perspective on Revealing and Altering Molecular Functions of Genetic Variants Linked with Diseases. Int J Mol Sci. 2019 Jan 28; 20(3).
Score: 0.031
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Rational design of small-molecule stabilizers of spermine synthase dimer by virtual screening and free energy-based approach. PLoS One. 2014; 9(10):e110884.
Score: 0.023
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Structural and energetic determinants of tyrosylprotein sulfotransferase sulfation specificity. Bioinformatics. 2014 Aug 15; 30(16):2302-9.
Score: 0.023
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Cancer missense mutations alter binding properties of proteins and their interaction networks. PLoS One. 2013; 8(6):e66273.
Score: 0.021
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Structural assessment of the effects of amino acid substitutions on protein stability and protein protein interaction. Int J Comput Biol Drug Des. 2010; 3(4):334-49.
Score: 0.018