Просмотреть запись

In-silico assessment of high-risk non-synonymous SNPs in ADAMTS3 gene associated with Hennekam syndrome and their impact on protein stability and function

Электронный научный архив УРФУ

Информация об архиве | Просмотр оригинала
 
 
Поле Значение
 
Заглавие In-silico assessment of high-risk non-synonymous SNPs in ADAMTS3 gene associated with Hennekam syndrome and their impact on protein stability and function
 
Автор Shinwari, K.
Wu, Y.
Rehman, H. M.
Xiao, N.
Bolkov, M.
Tuzankina, I.
Chereshnev, V.
 
Тематика ADAMTS3
HENNEKAM SYNDROME
IN-SILICO
NONSYNONYMOUS SNP
PRIMARY IMMUNODEFICIENCY
DIAGNOSIS
GENES
MOLECULAR DYNAMICS
PATIENT TREATMENT
RISK ASSESSMENT
ADAMTS3
HENNEKAM SYNDROME
IN-SILICO
LYMPHOEDEMA
NONSYNONYMOUS SNP
PRIMARY IMMUNODEFICIENCY
PROTEIN FUNCTIONS
PROTEIN STABILITY
SECONDARY STRUCTURES
SINGLE NUCLEOTIDE POLYMORPHISMS
PROTEINS
BIOINFORMATICS
GENETICS
HUMAN
LYMPHEDEMA
MOLECULAR DYNAMICS
PROTEIN STABILITY
SINGLE NUCLEOTIDE POLYMORPHISM
COMPUTATIONAL BIOLOGY
HENNEKAM LYMPHANGIECTASIA LYMPHEDEMA SYNDROME
HUMANS
LYMPHEDEMA
MOLECULAR DYNAMICS SIMULATION
POLYMORPHISM, SINGLE NUCLEOTIDE
PROTEIN STABILITY
 
Описание Hennekam Lymphangiectasia–Lymphedema Syndrome 3 (HKLLS3) is a rare genetical disorder caused by mutations in a few genes including ADAMTS3. It is characterized by lymphatic dysplasia, intestinal lymphangiectasia, severe lymphedema and distinctive facial appearance. Up till now, no extensive studies have been conducted to elucidate the mechanism of the disease caused by various mutations. As a preliminary investigation of HKLLS3, we sorted out the most deleterious nonsynonymous single nucleotide polymorphisms (nsSNPs) that might affect the structure and function of ADAMTS3 protein by using a variety of in silico tools. A total of 919 nsSNPs in the ADAMTS3 gene were identified. 50 nsSNPs were predicted to be deleterious by multiple computational tools. 5 nsSNPs (G298R, C567Y, A370T, C567R and G374S) were found to be the most dangerous and can be associated with the disease as predicted by different bioinformatics tools. Modelling of the protein shows it can be divided into segments 1, 2 and 3, which are connected by short loops. Segment 3 mainly consists of loops without substantial secondary structures. With prediction tools and molecular dynamics simulation, some SNPs were found to significantly destabilize the protein structure and disrupt the secondary structures, especially in segment 2. The deleterious effects of mutations in segment 1 are possibly not from destabilization but from other factors such as the change in phosphorylation as suggested by post-translational modification (PTM) studies. This is the first-ever study of ADAMTS3 gene polymorphism, and the predicted nsSNPs in ADAMST3, some of which have not been reported yet in patients, will serve for diagnostic purposes and further therapeutic implications in Hennekam syndrome, contributing to better diagnosis and treatment. © 2023, The Author(s).
Hong Kong University of Science and Technology, HKUST; Ural Branch, Russian Academy of Sciences, UB RAS; Ural Federal University, UrFU
The authors would like to thank the Hong Kong University of Science and Technology, the Institute of Chemical Engineering in the Department of Immunochemistry of the Ural Federal University and the Ural Branch of the Russian Academy of Sciences for providing high-performance computers.
 
Дата 2024-04-05T16:25:55Z
2024-04-05T16:25:55Z
2023
 
Тип Article
Journal article (info:eu-repo/semantics/article)
|info:eu-repo/semantics/publishedVersion
 
Идентификатор Shinwari, K, Wu, Y, Rehman, HM, Xiao, N, Bolkov, M, Tuzankina, I & Chereshnev, V 2023, 'In-silico assessment of high-risk non-synonymous SNPs in ADAMTS3 gene associated with Hennekam syndrome and their impact on protein stability and function', BMC Bioinformatics, Том. 24, № 1, 251 (2023). https://doi.org/10.1186/s12859-023-05361-6
Shinwari, K., Wu, Y., Rehman, H. M., Xiao, N., Bolkov, M., Tuzankina, I., & Chereshnev, V. (2023). In-silico assessment of high-risk non-synonymous SNPs in ADAMTS3 gene associated with Hennekam syndrome and their impact on protein stability and function. BMC Bioinformatics, 24(1), [251 (2023)]. https://doi.org/10.1186/s12859-023-05361-6
1471-2105
Final
All Open Access, Gold, Green
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85162065984&doi=10.1186%2fs12859-023-05361-6&partnerID=40&md5=ef01076c1951ea816a468bee94be0005
https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/s12859-023-05361-6
http://elar.urfu.ru/handle/10995/130561
10.1186/s12859-023-05361-6
85162065984
001008701700001
 
Язык en
 
Права Open access (info:eu-repo/semantics/openAccess)
cc-by
https://creativecommons.org/licenses/by/4.0/
 
Формат application/pdf
 
Издатель BioMed Central Ltd
 
Источник BMC Bioinformatics
BMC Bioinformatics