Cargando…
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 effective b...
Autores principales: | , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386852/ https://www.ncbi.nlm.nih.gov/pubmed/30696058 http://dx.doi.org/10.3390/ijms20030548 |
_version_ | 1783397437212196864 |
---|---|
author | Peng, Yunhui Alexov, Emil Basu, Sankar |
author_facet | Peng, Yunhui Alexov, Emil Basu, Sankar |
author_sort | Peng, Yunhui |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-6386852 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-63868522019-02-27 Structural Perspective on Revealing and Altering Molecular Functions of Genetic Variants Linked with Diseases Peng, Yunhui Alexov, Emil Basu, Sankar Int J Mol Sci Review 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. MDPI 2019-01-28 /pmc/articles/PMC6386852/ /pubmed/30696058 http://dx.doi.org/10.3390/ijms20030548 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Peng, Yunhui Alexov, Emil Basu, Sankar Structural Perspective on Revealing and Altering Molecular Functions of Genetic Variants Linked with Diseases |
title | 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_short | 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 |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6386852/ https://www.ncbi.nlm.nih.gov/pubmed/30696058 http://dx.doi.org/10.3390/ijms20030548 |
work_keys_str_mv | AT pengyunhui structuralperspectiveonrevealingandalteringmolecularfunctionsofgeneticvariantslinkedwithdiseases AT alexovemil structuralperspectiveonrevealingandalteringmolecularfunctionsofgeneticvariantslinkedwithdiseases AT basusankar structuralperspectiveonrevealingandalteringmolecularfunctionsofgeneticvariantslinkedwithdiseases |