scholarly journals Identification of novel key biomarkers in Simpson-Golabi-Behmel Syndrome: Evidence from bioinformatics analysis

2019 ◽  
Author(s):  
Mujahed I. Mustafa ◽  
Abdelrahman H. Abdelmoneim ◽  
Nafisa M. Elfadol ◽  
Naseem S. Murshed ◽  
Zainab O. Mohammed ◽  
...  
Keyword(s):  
Structural Model ◽  
3D Structure ◽  
Data Bank ◽  
Missense Mutations ◽  
Single Nucleotide ◽  
Overgrowth Syndrome ◽  
Project Hope ◽  
Single Nucleotide Polymorphism Database ◽  
And Function ◽  
Insight Into

AbstractBackgroundThe Simpson-Golabi-Behmel Syndrome (SGBS) or overgrowth Syndrome is a rare inherited X-linked condition characterized by pre- and postnatal overgrowth. The aim of the present study is to identify functional non-synonymous SNPs of GPC3 gene using various in silico approaches. These SNPs are supposed to have a direct effect on protein stability through conformation changes.Material and methodsThe SNPs were retrieved from the Single Nucleotide Polymorphism database (dbSNP) and further used to investigate a damaging effect using SIFT, PolyPhen, PROVEAN, SNAP2, SNPs&GO, PHD-SNP and P-mut, While we used I-mutant and MUPro to study the effect of SNPs on GPC3 protein structure. The 3D structure of human GPC3 protein is not available in the Protein Data Bank, so we used RaptorX to generate a 3D structural model for wild-type GPC3 to visualize the amino acids changes by UCSF Chimera. For biophysical validation we used project HOPE. Lastly we run conservational analysis by BioEdit and Consurf web server respectively.Resultsour results revealed three novel missense mutations (rs1460413167, rs1295603457 and rs757475450) that are found to be the most deleterious which effect on the GPC3 structure and function.ConclusionThis present study could provide a novel insight into the molecular basis of overgrowth Syndrome.

Identification of Novel Key Biomarkers in Simpson-Golabi-Behmel Syndrome (SGBS)

2019 ◽  
Vol 8 (1) ◽  
pp. 1-11
Author(s):  
Mujahed I. Mustafa ◽  
Abdelrahman H. Abdelmoneim ◽  
Nafisa M. Elfadol ◽  
Naseem S. Murshed ◽  
Zainab O. Mohammed ◽  
...  
Keyword(s):  
Bioinformatics Analysis ◽  
3D Structure ◽  
Population Based ◽  
Missense Mutations ◽  
Genetic Biomarkers ◽  
Overgrowth Syndrome ◽  
Project Hope ◽  
Dbsnp Database ◽  
Insight Into ◽  
Ucsf Chimera

The Simpson-Golabi-Behmel Syndrome (SGBS) or overgrowth Syndrome is an uncommon genetic X-linked disorder highlighted by macrosomia, renal defects, cardiac weaknesses and skeletal abnormalities. The purpose of the work was to classify the functional nsSNPs of GPC3 to serve as genetic biomarkers for overgrowth syndrome. The raw data of GPC3 gene were retrieved from dbSNP database and used to examine the most damaging effect using eight functional analysis tools, while we used I-mutant and MUPro to examine the effect of SNPs on GPC3 protein structure; The 3D structure of GPC3 protein is not found in the PDB, so RaptorX was used to create a 3D structural prototype to visualize the amino acids alterations by UCSF Chimera; For biophysical validation we used project HOPE; Lastly we run conservational analysis by BioEdit and Consurf web server respectively. Our results revealed three novel missense mutations (rs1460413167, rs1295603457 and rs757475450) that are that are more likely to be responsible for disturbance in the function and structure of GPC3. This work provides new insight into the molecular basis of overgrowth Syndrome by evidence from bioinformatics analysis. Three novel missense mutations (rs757475450, rs1295603457 and rs1460413167) are more likely to be responsible for disturbance in the function and structure of GPC3; therefore, they may be assisting as genetic biomarkers for overgrowth syndrome. As well as these SNPs can be used for the larger population-based studies of overgrowth syndrome.

Insights Into Functional and Structural Impacts of nsSNPs in XPA-DNA Repairing Gene

2022 ◽  
Vol 12 (1) ◽  
pp. 1-12
Author(s):  
Nadeem Ahmad ◽  
Zubair Sharif ◽  
Sarah Bukhari ◽  
Omer Aziz
Keyword(s):  
Genetic Basis ◽  
Structure And Function ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Computational Tools ◽  
Project Hope ◽  
Structural Impacts ◽  
And Function ◽  
Protein Variants ◽  
Insight Into

Single nucleotide polymorphisms (SNPs) are the most common type of genetic variation in people. SNPs are valuable resource for exploring the genetic basis of disease. The XPA gene provides a way to produce a protein used to repair damaged DNA. This study used the computational methods to classify SNPs and estimate their probability of being neutral or deleterious. The purpose of this analysis is to predict the effect of nsSNPs on the structure and function of XPA proteins. Data was collected from the NCBI hosted dbSNP. The authors examined the pathogenic effect of 194 nsSNPs in the XPA gene with computational tools. Four nsSNPs (C126S, C126W, R158S, and R227Q) those potentially effect on structure and function of the XPA protein were identified with combination of SIFT, PolyPhen, Provean, PHD-SNP, I-Mutant, ConSurf server and Project HOPE. This is the first comprehensive analysis in which XPA gene variants studied using in silico methods and this research able to gain further insight into XPA protein variants and function.

scholarly journals Structure and function of factor XI

Blood ◽  
2010 ◽  
Vol 115 (13) ◽  
pp. 2569-2577 ◽  
Author(s):  
Jonas Emsley ◽  
Paul A. McEwan ◽  
David Gailani
Keyword(s):  
Catalytic Domain ◽  
Structural Features ◽  
Factor Ix ◽  
Missense Mutations ◽  
Factor Xi ◽  
Disk Structure ◽  
Ligand Binding Sites ◽  
And Function ◽  
Insight Into

AbstractFactor XI (FXI) is the zymogen of an enzyme (FXIa) that contributes to hemostasis by activating factor IX. Although bleeding associated with FXI deficiency is relatively mild, there has been resurgence of interest in FXI because of studies indicating it makes contributions to thrombosis and other processes associated with dysregulated coagulation. FXI is an unusual dimeric protease, with structural features that distinguish it from vitamin K–dependent coagulation proteases. The recent availability of crystal structures for zymogen FXI and the FXIa catalytic domain have enhanced our understanding of structure-function relationships for this molecule. FXI contains 4 “apple domains” that form a disk structure with extensive interfaces at the base of the catalytic domain. The characterization of the apple disk structure, and its relationship to the catalytic domain, have provided new insight into the mechanism of FXI activation, the interaction of FXIa with the substrate factor IX, and the binding of FXI to platelets. Analyses of missense mutations associated with FXI deficiency have provided additional clues to localization of ligand-binding sites on the protein surface. Together, these data will facilitate efforts to understand the physiology and pathology of this unusual protease, and development of therapeutics to treat thrombotic disorders.

scholarly journals Matching of PDB chain sequences to information in public databases as a prerequisite for 3D functional site visualization

2004 ◽  
Vol 1 (1) ◽  
pp. 80-89
Author(s):  
Guido Dieterich ◽  
Dirk W. Heinz ◽  
Joachim Reichelt
Keyword(s):  
Genetic Disorders ◽  
Protein Structures ◽  
3D Structure ◽  
Data Bank ◽  
Mendelian Inheritance ◽  
Biological Information ◽  
Structure Comparison ◽  
3D Structures ◽  
Functional Sites ◽  
And Function

Abstract The 3D structures of biomacromolecules stored in the Protein Data Bank [1] were correlated with different external, biological information from public databases. We have matched the feature table of SWISS-PROT [2] entries as well InterPro [3] domains and function sites with the corresponding 3D-structures. OMIM [4] (Online Mendelian Inheritance in Man) records, containing information of genetic disorders, were extracted and linked to the structures. The exhaustive all-against-all 3D structure comparison of protein structures stored in DALI [5] was condensed into single files for each PDB entry. Results are stored in XML format facilitating its incorporation into related software. The resulting annotation of the protein structures allows functional sites to be identified upon visualization.

scholarly journals Comprehensive assessment of cancer missense mutation clustering in protein structures

2015 ◽  
Vol 112 (40) ◽  
pp. E5486-E5495 ◽  
Author(s):  
Atanas Kamburov ◽  
Michael S. Lawrence ◽  
Paz Polak ◽  
Ignaty Leshchiner ◽  
Kasper Lage ◽  
...  
Keyword(s):  
Large Scale ◽  
Protein Structures ◽  
3D Structure ◽  
Data Bank ◽  
Missense Mutations ◽  
Cancer Genes ◽  
Human Proteins ◽  
Protein Nucleic Acid ◽  
Binding Interfaces

Large-scale tumor sequencing projects enabled the identification of many new cancer gene candidates through computational approaches. Here, we describe a general method to detect cancer genes based on significant 3D clustering of mutations relative to the structure of the encoded protein products. The approach can also be used to search for proteins with an enrichment of mutations at binding interfaces with a protein, nucleic acid, or small molecule partner. We applied this approach to systematically analyze the PanCancer compendium of somatic mutations from 4,742 tumors relative to all known 3D structures of human proteins in the Protein Data Bank. We detected significant 3D clustering of missense mutations in several previously known oncoproteins including HRAS, EGFR, and PIK3CA. Although clustering of missense mutations is often regarded as a hallmark of oncoproteins, we observed that a number of tumor suppressors, including FBXW7, VHL, and STK11, also showed such clustering. Beside these known cases, we also identified significant 3D clustering of missense mutations in NUF2, which encodes a component of the kinetochore, that could affect chromosome segregation and lead to aneuploidy. Analysis of interaction interfaces revealed enrichment of mutations in the interfaces between FBXW7-CCNE1, HRAS-RASA1, CUL4B-CAND1, OGT-HCFC1, PPP2R1A-PPP2R5C/PPP2R2A, DICER1-Mg2+, MAX-DNA, SRSF2-RNA, and others. Together, our results indicate that systematic consideration of 3D structure can assist in the identification of cancer genes and in the understanding of the functional role of their mutations.

scholarly journals The ethylene–receptor family from Arabidopsis : structure and function

1998 ◽  
Vol 353 (1374) ◽  
pp. 1405-1412 ◽  
Author(s):  
Anthony B. Bleecker ◽  
Jeffrey J. Esch ◽  
Anne E. Hall ◽  
Fernando I. Rodríguez ◽  
Brad M. Binder
Keyword(s):  
Structural Model ◽  
Response Regulator ◽  
Protein A ◽  
Missense Mutations ◽  
In Planta ◽  
Hydrophobic Domain ◽  
Terminal Domain ◽  
Ethylene Binding ◽  
Membrane Spanning ◽  
And Function

The gaseous hormone ethylene regulates many aspects of plant growth and development. Ethylene is perceived by a family of high–affinity receptors typified by the ETR1 protein from Arabidopsis . The ETR1 gene codes for a protein, which contains a hydrophobic N–terminal domain that binds ethylene and a C–terminal domain that is related in sequence to histidine kinase–response regulator two–component signal transducers found in bacteria. A structural model for the ethylene binding domain is presented in which a Cu(I) ion is coordinated within membrane–spanning α–helices of the hydrophobic domain. It is proposed that binding of ethylene to the transition metal would induce a conformational change in the sensor domain that would be propagated to the cytoplasmic transmitter domain of the protein. A total of four additional genes that are related in sequence to ETR1 have been identified in Arabidopsis . Specific missense mutations in any one of the five genes leads to ethylene insensitivity in planta . Models for signal transduction that can account for the genetic dominance of these mutations are discussed.

scholarly journals carP, encoding a Ca2+-regulated putative phytase, is evolutionarily conserved in Pseudomonas aeruginosa and has potential as a biomarker

Microbiology ◽  
2020 ◽  
Author(s):  
Sergio E. Mares ◽  
Michelle M. King ◽  
Aya Kubo ◽  
Anna A. Khanov ◽  
Erika I. Lutter ◽  
...  
Keyword(s):  
Pseudomonas Aeruginosa ◽  
Type Species ◽  
3D Structure ◽  
Missense Mutations ◽  
Phylogenetic Groups ◽  
Single Nucleotide ◽  
Content Type ◽  
Link Type ◽  
Evolutionarily Conserved ◽  
Intracellular Ca

Pseudomonas aeruginosa infects patients with cystic fibrosis, burns, wounds and implants. Previously, our group showed that elevated Ca2+ positively regulates the production of several virulence factors in P. aeruginosa , such as biofilm formation, production of pyocyanin and secreted proteases. We have identified a Ca2+-regulated β-propeller putative phytase, CarP, which is required for Ca2+ tolerance, regulation of the intracellular Ca2+ levels, and plays a role in Ca2+ regulation of P. aeruginosa virulence. Here, we studied the conservation of carP sequence and its occurrence in diverse phylogenetic groups of bacteria. In silico analysis revealed that carP and its two paralogues PA2017 and PA0319 are primarily present in P. aeruginosa and belong to the core genome of the species. We identified 155 single nucleotide alterations within carP, 42 of which lead to missense mutations with only three that affected the predicted 3D structure of the protein. PCR analyses with carP-specific primers detected P. aeruginosa specifically in 70 clinical and environmental samples. Sequence comparison demonstrated that carP is overall highly conserved in P. aeruginosa isolated from diverse environments. Such evolutionary preservation of carP illustrates its importance for P. aeruginosa adaptations to diverse environments and demonstrates its potential as a biomarker.

Investigating Variations/SNPs in AUH Gene Causing 3-Methylglutaconic Aciduria, Type I

2022 ◽  
Vol 12 (1) ◽  
pp. 1-13
Author(s):  
Malik Muhammad Sajjad ◽  
Sarah Bukhari ◽  
Omer Aziz
Keyword(s):  
Structure And Function ◽  
Genomic Variation ◽  
Type I ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
A Genome ◽  
Project Hope ◽  
And Function ◽  
The Impact ◽  
Methylglutaconic Aciduria

A Single nucleotide polymorphisms (SNPs) is a source variation in a genome. The AUH gene gives guidance about how to generate an enzyme named 3-methylglutaconyl-CoA hydratase. Mutations in AUH gene leads to 3-Methylglutaconic aciduria type I disease. The authors used multiple bioinformatics tools SIFT, Provean, PolyPhen, PHD-SNP, I-Mutant, ConSurf server and Project HOPE to isolate missense SNPs that should be deleterious to the structure and function of the AUH protein. This research aims to analyze the impact of missense SNPs on the structure and function of AUH protein. There have been a total of 259 Missense SNPs obtained, of which 13 mutations were identified as deleterious to the structure and function of the AUH protein. This is the first study in relation to AUH gene missense SNPs where most damaging SNPs associated with the AUH gene were examined using computational analysis. This research could be useful in designing specific medicines for treatment of genomic variation diseases.

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