Structural Perspective on Revealing and Altering Molecular Functions of Genetic Variants Linked with Diseases

Structural information of biological macromolecules is crucial and necessary to deliver predictions about the effects of mutations—whether polymorphic or deleterious (i.e., disease causing), wherein, thermodynamic parameters, namely, folding and binding free energies potentially serve as e...

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Main Authors: Yunhui Peng, Emil Alexov, Sankar Basu
Format: Article
Language:English
Published: MDPI AG 2019-01-01
Series:International Journal of Molecular Sciences
Subjects:
Online Access:https://www.mdpi.com/1422-0067/20/3/548
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spelling doaj-b9005c06f76540ea9e23034fd0fd71b12020-11-25T01:01:12ZengMDPI AGInternational Journal of Molecular Sciences1422-00672019-01-0120354810.3390/ijms20030548ijms20030548Structural Perspective on Revealing and Altering Molecular Functions of Genetic Variants Linked with DiseasesYunhui Peng0Emil Alexov1Sankar Basu2Department of Physics and Astronomy, Clemson University, Clemson, SC 29634, USADepartment of Physics and Astronomy, Clemson University, Clemson, SC 29634, USADepartment of Physics and Astronomy, Clemson University, Clemson, SC 29634, USAStructural information of biological macromolecules is crucial and necessary to deliver predictions about the effects of mutations—whether polymorphic or deleterious (i.e., disease causing), wherein, thermodynamic parameters, namely, folding and binding free energies potentially serve as effective biomarkers. It may be emphasized that the effect of a mutation depends on various factors, including the type of protein (globular, membrane or intrinsically disordered protein) and the structural context in which it occurs. Such information may positively aid drug-design. Furthermore, due to the intrinsic plasticity of proteins, even mutations involving radical change of the structural and physico⁻chemical properties of the amino acids (native vs. mutant) can still have minimal effects on protein thermodynamics. However, if a mutation causes significant perturbation by either folding or binding free energies, it is quite likely to be deleterious. Mitigating such effects is a promising alternative to the traditional approaches of designing inhibitors. This can be done by structure-based in silico screening of small molecules for which binding to the dysfunctional protein restores its wild type thermodynamics. In this review we emphasize the effects of mutations on two important biophysical properties, stability and binding affinity, and how structures can be used for structure-based drug design to mitigate the effects of disease-causing variants on the above biophysical properties.https://www.mdpi.com/1422-0067/20/3/548mutationsdisease-causing mutationspolymorphismfolding free energy changebinding free energy changedrug discoveryin silico screening
collection DOAJ
language English
format Article
sources DOAJ
author Yunhui Peng
Emil Alexov
Sankar Basu
spellingShingle Yunhui Peng
Emil Alexov
Sankar Basu
Structural Perspective on Revealing and Altering Molecular Functions of Genetic Variants Linked with Diseases
International Journal of Molecular Sciences
mutations
disease-causing mutations
polymorphism
folding free energy change
binding free energy change
drug discovery
in silico screening
author_facet Yunhui Peng
Emil Alexov
Sankar Basu
author_sort Yunhui Peng
title Structural Perspective on Revealing and Altering Molecular Functions of Genetic Variants Linked with Diseases
title_short Structural Perspective on Revealing and Altering Molecular Functions of Genetic Variants Linked with Diseases
title_full Structural Perspective on Revealing and Altering Molecular Functions of Genetic Variants Linked with Diseases
title_fullStr Structural Perspective on Revealing and Altering Molecular Functions of Genetic Variants Linked with Diseases
title_full_unstemmed Structural Perspective on Revealing and Altering Molecular Functions of Genetic Variants Linked with Diseases
title_sort structural perspective on revealing and altering molecular functions of genetic variants linked with diseases
publisher MDPI AG
series International Journal of Molecular Sciences
issn 1422-0067
publishDate 2019-01-01
description Structural information of biological macromolecules is crucial and necessary to deliver predictions about the effects of mutations—whether polymorphic or deleterious (i.e., disease causing), wherein, thermodynamic parameters, namely, folding and binding free energies potentially serve as effective biomarkers. It may be emphasized that the effect of a mutation depends on various factors, including the type of protein (globular, membrane or intrinsically disordered protein) and the structural context in which it occurs. Such information may positively aid drug-design. Furthermore, due to the intrinsic plasticity of proteins, even mutations involving radical change of the structural and physico⁻chemical properties of the amino acids (native vs. mutant) can still have minimal effects on protein thermodynamics. However, if a mutation causes significant perturbation by either folding or binding free energies, it is quite likely to be deleterious. Mitigating such effects is a promising alternative to the traditional approaches of designing inhibitors. This can be done by structure-based in silico screening of small molecules for which binding to the dysfunctional protein restores its wild type thermodynamics. In this review we emphasize the effects of mutations on two important biophysical properties, stability and binding affinity, and how structures can be used for structure-based drug design to mitigate the effects of disease-causing variants on the above biophysical properties.
topic mutations
disease-causing mutations
polymorphism
folding free energy change
binding free energy change
drug discovery
in silico screening
url https://www.mdpi.com/1422-0067/20/3/548
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