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Full-Text Articles in Physical Sciences and Mathematics
Computational And Experimental Approaches To Reveal The Effects Of Single Nucleotide Polymorphisms With Respect To Disease Diagnostics, Tugba G. Kucukkal, Ye Yang, Susan C. Chapman, Weiguo Cao, Emil Alexov
Computational And Experimental Approaches To Reveal The Effects Of Single Nucleotide Polymorphisms With Respect To Disease Diagnostics, Tugba G. Kucukkal, Ye Yang, Susan C. Chapman, Weiguo Cao, Emil Alexov
Publications
DNA mutations are the cause of many human diseases and they are the reason for natural differences among individuals by affecting the structure, function, interactions, and other properties of DNA and expressed proteins. The ability to predict whether a given mutation is disease-causing or harmless is of great importance for the early detection of patients with a high risk of developing a particular disease and would pave the way for personalized medicine and diagnostics. Here we review existing methods and techniques to study and predict the effects of DNA mutations from three different perspectives: in silico, in vitro and …
Computational Analysis Of Missense Mutations Causing Snyder-Robinson Syndrome, Zhe Zhang, Shaolei Teng, Liangjiang Wang, Charles E. Schwartz, Emil Alexov
Computational Analysis Of Missense Mutations Causing Snyder-Robinson Syndrome, Zhe Zhang, Shaolei Teng, Liangjiang Wang, Charles E. Schwartz, Emil Alexov
Publications
The Snyder-Robinson syndrome is caused by missense mutations in the spermine sythase gene that encodes a protein (SMS) of 529 amino acids. Here we investigate, in silico, the molecular effect of three missense mutations, c.267G>A (p.G56S), c.496T>G (p.V132G), and c.550T>C (p.I150T) in SMS that were clinically identified to cause the disease. Single-point energy calculations, molecular dynamics simulations, and pKa calculations revealed the effects of these mutations on SMS's stability, flexibility, and interactions. It was predicted that the catalytic residue, Asp276, should be protonated prior binding the substrates. The pKa calculations indicated the p.I150T mutation causes pKa changes …
Structural Assessment Of The Effects Of Amino Acid Substitutions On Protein Stability And Protein-Protein Interaction, Shaolei Teng, Liangjiang Wang, Anand K. Srivastava, Charles E. Schwartz, Emil Alexov
Structural Assessment Of The Effects Of Amino Acid Substitutions On Protein Stability And Protein-Protein Interaction, Shaolei Teng, Liangjiang Wang, Anand K. Srivastava, Charles E. Schwartz, Emil Alexov
Publications
A structure-based approach is described for predicting the effects of amino acid substitutions on protein function. Structures were predicted using a homology modelling method. Folding and binding energy differences between wild-type and mutant structures were computed to quantitatively assess the effects of amino acid substitutions on protein stability and protein–protein interaction, respectively. We demonstrated that pathogenic mutations at the interaction interface could affect binding energy and destabilise protein complex, whereas mutations at the non-interface might reduce folding energy and destabilise monomer structure. The results suggest that the structure-based analysis can provide useful information for understanding the molecular mechanisms of diseases.