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- W2025095544 endingPage "80" @default.
- W2025095544 startingPage "68" @default.
- W2025095544 abstract "In recent years, increasingly sophisticated computational and bioinformatics tools have evolved for the analyses of protein structure, function, ligand interactions, modeling and energetics. This includes the development of algorithms to recursively evaluate side-chain rotamer permutations, identify regions in a 3D structure that meet some set of search parameters, calculate and minimize energy values, and provide high-resolution visual tools for theoretical modeling. Here we discuss the interdependency between different areas of bioinformatics, the evolution of different algorithm design approaches, and finally the transition from theoretical models to real-world design and application as they relate to Ca(2+)-binding proteins. Within this context, it has become evident that significant pre-experimental design and calculations can be modeled through computational methods, thus eliminating potentially unproductive research and increasing our confidence in the correlation between real and theoretical models. Moving from prediction to production, it is anticipated that bioinformatics tools will play an increasingly significant role in research and development, improving our ability to both understand the physiological roles of Ca(2+) and other metals and to extend that knowledge to the design of function-specific synthetic proteins capable of fulfilling different roles in medical diagnostics and therapeutics." @default.
- W2025095544 created "2016-06-24" @default.
- W2025095544 creator A5008107359 @default.
- W2025095544 creator A5011517981 @default.
- W2025095544 creator A5025670628 @default.
- W2025095544 creator A5042737832 @default.
- W2025095544 creator A5058254577 @default.
- W2025095544 creator A5062706695 @default.
- W2025095544 date "2010-03-01" @default.
- W2025095544 modified "2023-09-27" @default.
- W2025095544 title "Integration of Diverse Research Methods to Analyze and Engineer Ca2+- Binding Proteins: From Prediction to Production" @default.
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