scholarly journals Computational Insights into the Deleterious Impacts of Missense Variants on N-Acetyl-d-glucosamine Kinase Structure and Function

2021 ◽  
Vol 22 (15) ◽  
pp. 8048
Author(s):  
Raju Dash ◽  
Sarmistha Mitra ◽  
Yeasmin Akter Munni ◽  
Ho Jin Choi ◽  
Md. Chayan Ali ◽  
...  
Keyword(s):  
Binding Energy ◽  
Docking Simulation ◽  
Sugar Metabolism ◽  
Amino Sugar ◽  
Protein Docking ◽  
Energy Calculation ◽  
Nucleotide Polymorphisms ◽  
Pathological Effect ◽  
And Function ◽  
Substrate Binding Sites

An enzyme of the mammalian amino-sugar metabolism pathway, N-acetylglucosamine kinase (NAGK), that synthesizes N-acetylglucosamine (GlcNAc)-6-phosphate, is reported to promote dynein functions during mitosis, axonal and dendritic growth, cell migration, and selective autophagy, which all are unrelated to its enzyme activity. As non-enzymatic structural functions can be altered by genetic variation, we made an effort in this study aimed at deciphering the pathological effect of nonsynonymous single-nucleotide polymorphisms (nsSNPs) in NAGK gene. An integrated computational approach, including molecular dynamics (MD) simulation and protein–protein docking simulation, was used to identify the damaging nsSNPs and their detailed structural and functional consequences. The analysis revealed the four most damaging variants (G11R, G32R, G120E, and A156D), which are highly conserved and functional, positioned in both small (G11R and G32R) and large (G120E and A156D) domains of NAGK. G11R is located in the ATP binding region, while variants present in the large domain (G120E and A156D) were found to induce substantial alterations in the structural organizations of both domains, including the ATP and substrate binding sites. Furthermore, all variants were found to reduce binding energy between NAGK and dynein subunit DYNLRB1, as revealed by protein–protein docking and MM-GBSA binding energy calculation supporting their deleteriousness on non-canonical function. We hope these findings will direct future studies to gain more insight into the role of these variants in the loss of NAGK function and their role in neurodevelopmental disorders.

IL-10-592 A/C Gene Polymorphism and Cytokine Levels are Associated with Susceptibility to Drug Resistance in Tuberculosis

2020 ◽  
Vol 8 (3) ◽  
pp. 103-112
Author(s):  
Atefeh SADEGHI SHERMEH ◽  
Majid KHOSHMIRSAFA ◽  
Ali-Akbar DELBANDI ◽  
Payam TABARSI ◽  
Esmaeil MORTAZ ◽  
...  
Keyword(s):  
Serum Levels ◽  
World Health ◽  
Control Group ◽  
Drug Resistant ◽  
Nucleotide Polymorphisms ◽  
Genotype Frequencies ◽  
Cytokine Levels ◽  
Ifn Γ ◽  
Health Organization ◽  
And Function

Introduction: Tuberculosis (TB) and especially resistant forms of it have a substantial economic burden on the community health system for diagnosis and treatment each year. Thus, investigation of this field is a priority for the world health organization (WHO). Cytokines play important roles in the relationship between the immune system and tuberculosis. Genetic variations especially single nucleotide polymorphisms (SNPs) impact cytokine levels and function against TB. Material and Methods: In this research SNPs in IFN-γ (+874 T/A) and IL-10 (-592 A/C) genes, and the effects of these SNPs on cytokine levels in a total of 87 tuberculosis patients and 100 healthy controls (HCs) were studied. TB patients divided into two groups: 1) 67 drug-sensitive (DS-TB) and 2) 20 drug-resistant (DR-TB) according to drug sensitivity test using polymerase chain reaction (PCR). For the genotyping of two SNPs, the PCR-based method was used and IFN-γ and IL-10 levels were measured by ELISA in pulmonary tuberculosis (PTB) and control group. Results: In -592A/C SNP, only two genotypes (AA, AC) were observed and both genotypes showed statistically significant differences between DR-TB and HCs (p=0.011). IL-10 serum levels in PTB patients were higher than HCs (p=0.02). The serum levels of IFN-γ were significantly higher in DS-TB patients than that of the other two groups (p<0.001); however, no significant differences were observed for allele and genotype frequencies in IFN-γ +874. Conclusions: Our results suggest that the SNP at -592 position of IL-10 gene may be associated with the susceptibility to DR-TB. However, further investigation is necessary. Keywords: Polymorphism, IFN-γ, IL-10, tuberculosis, drug-resistant tuberculosis

Quantitative structure-activity relationship model, molecular docking simulation and computational design of some novel compounds against DNA gyrase receptor.

2020 ◽  
Vol 16 ◽  
Author(s):  
Shola Elijah Adeniji
Keyword(s):  
Biological Activity ◽  
Molecular Docking ◽  
Binding Energy ◽  
Biological Activities ◽  
Docking Simulation ◽  
Dna Gyrase ◽  
Computational Design ◽  
Multi Drug Resistance ◽  
Drug Candidate ◽  
Standard Drug

Introduction: Mycobacterium tuberculosis has instigated a serious challenge toward the effective treatment of tuberculosis. The reoccurrence of the resistant strains of the disease to accessible drugs/medications has mandate for the development of more effective anti-tubercular agents with efficient activities. Time expended and costs in discovering and synthesizing new hypothetical drugs with improved biological activity have been a major challenge toward the treatment of multi-drug resistance strain M. tuberculosis (TB). Meanwhile, to solve the problem stated, a new approach i.e. QSAR which establish connection between novel drugs with a better biological against M. tuberculosis is adopted. Methods: The anti-tubercular model established in this study to forecast the biological activities of some anti-tubercular compounds selected and to design new hypothetical drugs is subjective to the molecular descriptors; MATS7s, SM1_DzZ, SpMin4_Bhv, TDB3v and RDF70v. Ligand-receptor interactions between quinoline derivatives and the receptor (DNA gyrase) was carried out using molecular docking technique by employing the PyRx virtual screening software and discovery studio visualizer software. Furthermore, docking study indicates that compounds 20 of the derivatives with promising biological activity have the utmost binding energy of -17.79 kcal/mol. Results: Meanwhile, the interaction of the standard drug; isoniazid with the target enzyme was observed with the binding energy -14.6 kcal/mol which was significantly lesser than the binding energy of the ligand (compound 20).Therefore, compound 20 served as a template structure to designed compounds with more efficient activities. Among the compounds designed; compounds 20p was observed with better anti-tubercular activities with more prominent binding affinities of -24.3kcal/mol. Conclusion: The presumption of this research aid the medicinal chemists and pharmacist to design and synthesis a novel drug candidate against the tuberculosis. Moreover, in-vitro and in-vivo test could be carried out to validate the computational results.

scholarly journals Study of Endogen Substrates, Drug Substrates and Inhibitors Binding Conformations on MRP4 and Its Variants by Molecular Docking and Molecular Dynamics

Molecules ◽  
2021 ◽  
Vol 26 (4) ◽  
pp. 1051
Author(s):  
Edgardo Becerra ◽  
Giovanny Aguilera-Durán ◽  
Laura Berumen ◽  
Antonio Romo-Mancillas ◽  
Guadalupe García-Alcocer
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Binding Energy ◽  
Binding Site ◽  
Binding Sites ◽  
Adenosine Monophosphate ◽  
Competitive Inhibitor ◽  
Umbrella Sampling ◽  
Coarse Grained ◽  
Nucleotide Polymorphisms

Multidrug resistance protein-4 (MRP4) belongs to the ABC transporter superfamily and promotes the transport of xenobiotics including drugs. A non-synonymous single nucleotide polymorphisms (nsSNPs) in the ABCC4 gene can promote changes in the structure and function of MRP4. In this work, the interaction of certain endogen substrates, drug substrates, and inhibitors with wild type-MRP4 (WT-MRP4) and its variants G187W and Y556C were studied to determine differences in the intermolecular interactions and affinity related to SNPs using protein threading modeling, molecular docking, all-atom, coarse grained, and umbrella sampling molecular dynamics simulations (AA-MDS and CG-MDS, respectively). The results showed that the three MRP4 structures had significantly different conformations at given sites, leading to differences in the docking scores (DS) and binding sites of three different groups of molecules. Folic acid (FA) had the highest variation in DS on G187W concerning WT-MRP4. WT-MRP4, G187W, Y556C, and FA had different conformations through 25 ns AA-MD. Umbrella sampling simulations indicated that the Y556C-FA complex was the most stable one with or without ATP. In Y556C, the cyclic adenosine monophosphate (cAMP) and ceefourin-1 binding sites are located out of the entrance of the inner cavity, which suggests that both cAMP and ceefourin-1 may not be transported. The binding site for cAMP and ceefourin-1 is quite similar and the affinity (binding energy) of ceefourin-1 to WT-MRP4, G187W, and Y556C is greater than the affinity of cAMP, which may suggest that ceefourin-1 works as a competitive inhibitor. In conclusion, the nsSNPs G187W and Y556C lead to changes in protein conformation, which modifies the ligand binding site, DS, and binding energy.

In Silico Identification of Novel Acute Myeloid Leukemia Associated Missense SNPs in Human CEBPA Gene

2020 ◽  
pp. 10-24
Keyword(s):  
Acute Myeloid Leukemia ◽  
In Silico ◽  
Myeloid Leukemia ◽  
Gene Interaction ◽  
Nucleotide Polymorphisms ◽  
Future Perspectives ◽  
Single Nucleotide ◽  
In Silico Identification ◽  
And Function ◽  
Acute Myeloid

Single nucleotide polymorphisms (SNPs) in CEBPA gene have been found to be associated with cancer especially Acute Myeloid Leukemia (AML). Therefore, the identification of functional and structural polymorphisms in CEBPA is important to study and discover therapeutics targets and potential malfunctioning. For this purpose, several bioinformatics tools were used for the identification of disease-associated nsSNPs, which might be vital for the structure and function of CEBPA, making them extremely important. In silico tools used in this study included SIFT, PROVEAN, PolyPhen2, SNP&GO and PhD-SNP, followed by ConSurf and I-Mutant. Protein 3D modelling was carried out using I-TASSER and MODELLER v9.22, while GeneMANIA and string were used for the prediction of gene-gene interaction in this regard. From our study, we found that the L345P, R333C, R339Q, V328G, R327W, L317Q, N292S, E284A, R156W, Y108N and F82L mutations were the most crucial SNPs. Additionally, the gene-gene interaction showed the genes having correlation with CEBPA’s co-expressions and importance in several pathways. In future, these 11 mutations should be investigated while studying diseases related to CEBPA, especially for AML. Being the first of its kind, future perspectives are proposed in this study, which will help in precision medicine. Animal models are of great significance in finding out CEBPA effects in disease.

Genes Regulating Immune Response and Amelogenesis Interact in Increasing the Susceptibility to Molar-Incisor Hypomineralization

2018 ◽  
Vol 53 (2) ◽  
pp. 217-227 ◽  
Author(s):  
Diego Girotto Bussaneli ◽  
Manuel Restrepo ◽  
Camila Maria Bullio Fragelli ◽  
Lourdes Santos-Pinto ◽  
Fabiano Jeremias ◽  
...  
Keyword(s):  
Immune Response ◽  
Gene Interactions ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Nuclear Families ◽  
Molar Incisor Hypomineralization ◽  
Inflammatory Stimuli ◽  
Allele Specific ◽  
Family Based ◽  
And Function

Ameloblasts are sensitive cells whose metabolism and function may be affected by inflammatory stimuli. The aim of this study was to evaluate the possible association between polymorphisms in immune response-related genes and molar-incisor hypomineralization (MIH), and their interaction with polymorphisms in amelogenesis-related genes. DNA samples were obtained from 101 nuclear families that had at least 1 MIH-affected child. Eleven single-nucleotide polymorphisms (SNPs) were investigated in immune response genes using TaqMan® technology allele-specific probes. A transmission disequilibrium test was performed to verify overtransmission of alleles in all MIH families, as well as in families only with mild or severe MIH-affected children. Gene-gene interactions between the immune-related and amelogenesis-related polymorphisms were analyzed by determining whether alleles of those genes were transmitted from heterozygous parents more often in association than individually with MIH-affected children. In severe cases of MIH, significant results were observed for rs10733708 (TGFBR1, OR = 3.5, 95% CI = 1.1–10.6). Statistical evidence for gene-gene interactions between rs6654939 (AMELX) and the SNPs rs2070874 (IL4), rs2275913 (IL17A), rs1800872 (IL10), rs1800587 (IL1A), and rs3771300 (STAT1) was observed. The rs2070874 SNP (IL4) was also significantly overtransmitted from heterozygous parents with the rs7526319 (TUFT1) and the rs2355767 (BMP2) SNPs, suggesting a synergistic effect of the transmission of these alleles with susceptibility to MIH. This family-based study demonstrated an association between variation in TGFBR1 and MIH. Moreover, the polymorphisms in immune response and amelogenesis genes may have an additive effect on the risk of developing MIH.

scholarly journals Alterations of gut microbiota in gestational diabetes patients during the second trimester of pregnancy in the Shanghai Han population

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Yao Su ◽  
Hong-Kun Wang ◽  
Xu-Pei Gan ◽  
Li Chen ◽  
Yan-Nan Cao ◽  
...  
Keyword(s):  
Gestational Diabetes ◽  
Gut Microbiota ◽  
Gut Microbiome ◽  
Sugar Metabolism ◽  
16S Rrna Gene Sequencing ◽  
Amino Sugar ◽  
Fecal Microbiota ◽  
Rrna Gene ◽  
Second Trimester ◽  
Metabolic Hormone

Abstract Background The causes of gestational diabetes mellitus (GDM) are still unclear. Recent studies have found that the imbalance of the gut microbiome could lead to disorders of human metabolism and immune system, resulting in GDM. This study aims to reveal the different gut compositions between GDM and normoglycemic pregnant women and find the relationship between gut microbiota and GDM. Methods Fecal microbiota profiles from women with GDM (n = 21) and normoglycemic women (n = 32) were assessed by 16S rRNA gene sequencing. Fasting metabolic hormone concentrations were measured using multiplex ELISA. Results Metabolic hormone levels, microbiome profiles, and inferred functional characteristics differed between women with GDM and healthy women. Additionally, four phyla and seven genera levels have different correlations with plasma glucose and insulin levels. Corynebacteriales (order), Nocardiaceae (family), Desulfovibrionaceae (family), Rhodococcus (genus), and Bacteroidetes (phylum) may be the taxonomic biomarkers of GDM. Microbial gene functions related to amino sugar and nucleotide sugar metabolism were found to be enriched in patients with GDM. Conclusion Our study indicated that dysbiosis of the gut microbiome exists in patients with GDM in the second trimester of pregnancy, and gut microbiota might be a potential diagnostic biomarker for the diagnosis, prevention, and treatment of GDM.

scholarly journals The keystone species of Precambrian deep bedrock biosphere belong to <i>Burkholderiales</i> and <i>Clostridiales</i>

2015 ◽  
Vol 12 (21) ◽  
pp. 18103-18150 ◽  
Author(s):  
L. Purkamo ◽  
M. Bomberg ◽  
R. Kietäväinen ◽  
H. Salavirta ◽  
M. Nyyssönen ◽  
...  
Keyword(s):  
Microbial Communities ◽  
Carbon Fixation ◽  
Keystone Species ◽  
Carbon Assimilation ◽  
Sugar Metabolism ◽  
Archaeal Community ◽  
Amino Sugar ◽  
Amplicon Sequencing ◽  
Fracture Zones ◽  
Crystalline Bedrock

Abstract. The bacterial and archaeal community composition and the possible carbon assimilation processes and energy sources of microbial communities in oligotrophic, deep, crystalline bedrock fractures is yet to be resolved. In this study, intrinsic microbial communities from six fracture zones from 180–2300 m depths in Outokumpu bedrock were characterized using high-throughput amplicon sequencing and metagenomic prediction. Comamonadaceae-, Anaerobrancaceae- and Pseudomonadaceae-related OTUs form the core community in deep crystalline bedrock fractures in Outokumpu. Archaeal communities were mainly composed of Methanobacteraceae-affiliating OTUs. The predicted bacterial metagenomes showed that pathways involved in fatty acid and amino sugar metabolism were common. In addition, relative abundance of genes coding the enzymes of autotrophic carbon fixation pathways in predicted metagenomes was low. This indicates that heterotrophic carbon assimilation is more important for microbial communities of the fracture zones. Network analysis based on co-occurrence of OTUs revealed the keystone genera of the microbial communities belonging to Burkholderiales and Clostridiales. Bacterial communities in fractures resemble those found from oligotrophic, hydrogen-enriched environments. Serpentinization reactions of ophiolitic rocks in Outokumpu assemblage may provide a source of energy and organic carbon compounds for the microbial communities in the fractures. Sulfate reducers and methanogens form a minority of the total microbial communities, but OTUs forming these minor groups are similar to those found from other deep Precambrian terrestrial bedrock environments.

scholarly journals The influence of rs53576 and rs2254298 oxytocin receptor gene polymorphisms on plasma oxytocin levels and measures of empathy

2019 ◽  
Vol 71 (1) ◽  
pp. 159-165 ◽  
Author(s):  
Jelena Basic ◽  
Vuk Milosevic ◽  
Milos Stankovic ◽  
Tatjana Jevtovic-Stoimenov ◽  
Tatjana Cvetkovic ◽  
...  
Keyword(s):  
Receptor Gene ◽  
Oxytocin Receptor ◽  
Enzyme Linked Immunosorbent Assay ◽  
Nucleotide Polymorphisms ◽  
Oxytocin Receptor Gene ◽  
Hormone Effects ◽  
Empathy Quotient ◽  
Receptor Gene Polymorphisms ◽  
Oxtr Rs53576 ◽  
And Function

Oxytocin achieves its effects after binding the oxytocin receptor (OXTR). Oxytocin plays an important role in empathy. The aim of this study was to examine the influence of two single nucleotide polymorphisms (SNPs) of the OXTR gene (rs53576 and rs2254298) on empathy measures and plasma oxytocin levels. Seventy-four university students were screened for the OXTR rs53576 and rs2254298 SNPs using the polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. The level of oxytocin in the plasma was measured by the enzyme linked immunosorbent assay (ELISA). All subjects were assessed with the empathy quotient (EQ) questionnaire and Reading the Mind in the Eyes Test (RMET). Subjects carrying the rs53576 GG genotype had a higher EQ score, compared to GA/AA genotype carriers. By gender analysis, significance was reached only in females. Considering the influence of both examined polymorphisms on empathy, participants with the GGGG diplotype had a higher EQ in comparison with GAGG/AAGG carriers. These hormone effects were not correlated with plasma oxytocin levels. This is the first study implying that higher empathy in rs53576 GG genotype carriers may not depend on plasma oxytocin levels, but possibly on the number and function of OXTRs in the brain.

scholarly journals STRUCTURE AND FUNCTION OF THE FRUIT MICROBIOME IN HEALTHY AND DISEASED KIWIFRUIT

2019 ◽  
Vol 56 (03) ◽  
pp. 577-585
Author(s):  
Wenneng Wu
Keyword(s):  
Microbial Diversity ◽  
Relative Abundance ◽  
Foodborne Pathogens ◽  
Fungal Pathogens ◽  
Sugar Metabolism ◽  
Amino Sugar ◽  
Disease Diagnosis ◽  
Postharvest Disease ◽  
Pathogen Infection ◽  
Microbiome Composition

The fruit surface is an infection court where foodborne pathogens compete with indigenous microbiota for microsites to invade the fruits for nutrients acquisition. However, our current understanding of the structure and functions of fruit microbiome visa-vis postharvest pathogen infection is still nascent. Here, we sequenced the metagenomic DNA to understand the structural and functional attributes of healthy and diseased kiwifruit microbiome. The healthy fruits exhibited higher microbial diversity and distinct microbiome composition compared with diseased fruits. The microbiome of diseased fruit was dominated by fungal pathogens Neofusicoccum parvum and Diplodiaseriata, while the microbiome of healthy fruits were enriched by bacteria from Methylobacteriaceae, Sphingomonadaceae, Nocardioidaceae and fungi in Pleosporaceae. Importantly, the healthy fruit microbiome had a higher relative abundance of genes related to ABC transporter, two-component system, bacterial chemotaxis, bacterial secretion system, but had a lower relative abundance of genes associated with polycyclic aromatic hydrocarbon degradation, amino sugar and nucleotide sugar metabolism, glycine, serine and threonine metabolism compared with diseased fruits. Our results indicate that pathogen infection disrupts the fruit microbiome. The changes in microbiome composition and functions could also increase the possibility of secondary pathogen infection as the reduced microbial diversity may demonstrate less resistance to pathogens infection. Therefore, monitoring the microbiome dynamics and their functions using metagenomic approaches could be useful to build a predictive understanding of accurate postharvest disease diagnosis and management in the future

Timing during translation matters: synonymous mutations in human pathologies influence protein folding and function

2018 ◽  
Vol 46 (4) ◽  
pp. 937-944 ◽  
Author(s):  
Robert Rauscher ◽  
Zoya Ignatova
Keyword(s):  
Protein Folding ◽  
Nucleotide Polymorphisms ◽  
Single Nucleotide ◽  
Synonymous Mutations ◽  
Translation Velocity ◽  
Disease Penetrance ◽  
And Function ◽  
Related Proteins ◽  
Translational Speed ◽  
Fine Tune

Ribosomes translate mRNAs with non-uniform speed. Translation velocity patterns are a conserved feature of mRNA and have evolved to fine-tune protein folding, expression and function. Synonymous single-nucleotide polymorphisms (sSNPs) that alter programmed translational speed affect expression and function of the encoded protein. Synergistic advances in next-generation sequencing have led to the identification of sSNPs associated with disease penetrance. Here, we draw on studies with disease-related proteins to enhance our understanding of mechanistic contributions of sSNPs to functional alterations of the encoded protein. We emphasize the importance of identification of sSNPs along with disease-causing mutations to understand genotype–phenotype relationships.

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