scholarly journals Prediction and Expression Analysis of Deleterious Nonsynonymous SNPs of Arabidopsis ACD11 Gene by Combining Computational Algorithms and Molecular Docking Approach

2021 ◽  
Author(s):  
Mahmudul Hasan Rifat ◽  
Jamil Ahmed ◽  
Milad Ahmed ◽  
Foeaz Ahmed ◽  
Airin Gulshan ◽  
...  
Keyword(s):  
Cell Death ◽  
Molecular Docking ◽  
Protein Structures ◽  
Protein Domain ◽  
Nonsynonymous Snps ◽  
Nucleotide Polymorphisms ◽  
Defensive Responses ◽  
Leaf Chlorosis ◽  
Docking Approach ◽  
The Impact

Accelerated cell death 11 (ACD11) is an autoimmune gene that suppresses pathogen infection in plants by preventing plant cells from becoming infected by any pathogen. This gene is widely known for growth inhibition, premature leaf chlorosis, and defense-related programmed cell death (PCD) in seedlings before flowering in Arabidopsis plant. Specific amino acid changes in the ACD11 protein's highly conserved domains are linked to autoimmune symptoms including constitutive defensive responses and necrosis without pathogen awareness. The molecular aspect of the aberrant activity of the ACD11 protein is difficult to ascertain. The purpose of our study was to find the most deleterious mutation position in the ACD11 protein and correlate them with their abnormal expression pattern. Using several computational methods, we discovered PCD vulnerable single nucleotide polymorphisms (SNPs) in ACD11. We analysed the RNA-Seq data, identified the detrimental nonsynonymous SNPs (nsSNP), built genetically mutated protein structures and used molecular docking to assess the impact of mutation. Our results demonstrated that the A15T and A39D variations in the GLTP domain were likely to be extremely detrimental mutations that inhibit the expression of the ACD11 protein domain by destabilizing its composition, as well as disrupt its catalytic effectiveness. When compared to the A15T mutant, the A39D mutant was more likely to destabilize the protein structure. In conclusion, these mutants can aid in the better understanding of the vast pool of PCD susceptibilities connected to ACD11 gene GLTP domain activation.

scholarly journals Prediction of Deleterious Non-synonymous SNPs of Human STK11 Gene by Combining Algorithms, Molecular Docking, and Molecular Dynamics Simulation

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Md. Jahirul Islam ◽  
Akib Mahmud Khan ◽  
Md. Rimon Parves ◽  
Md Nayeem Hossain ◽  
Mohammad A. Halim
Keyword(s):  
Molecular Dynamics ◽  
Molecular Docking ◽  
Protein Structures ◽  
Catalytic Efficiency ◽  
Suppressor Gene ◽  
Kinase Domain ◽  
Dynamics Simulation ◽  
Nucleotide Polymorphisms ◽  
Stk11 Gene ◽  
The Impact

Abstract Serine-threonine kinase11 (STK11) is a tumor suppressor gene which plays a key role in regulating cell growth and apoptosis. It is widely known as a multitasking kinase and engaged in cell polarity, cell cycle arrest, chromatin remodeling, energy metabolism, and Wnt signaling. The substitutions of single amino acids in highly conserved regions of the STK11 protein are associated with Peutz–Jeghers syndrome (PJS), which is an autosomal dominant inherited disorder. The abnormal function of the STK11 protein is still not well understood. In this study, we classified disease susceptible single nucleotide polymorphisms (SNPs) in STK11 by using different computational algorithms. We identified the deleterious nsSNPs, constructed mutant protein structures, and evaluated the impact of mutation by employing molecular docking and molecular dynamics analysis. Our results show that W239R and W308C variants are likely to be highly deleterious mutations found in the catalytic kinase domain, which may destabilize structure and disrupt the activation of the STK11 protein as well as reduce its catalytic efficiency. The W239R mutant is likely to have a greater impact on destabilizing the protein structure compared to the W308C mutant. In conclusion, these mutants can help to further realize the large pool of disease susceptibilities linked with catalytic kinase domain activation of STK11 and assist to develop an effective drug for associated diseases.

Bafilomycin-A1 and ML9 Exert Different Lysosomal Actions to Induce Cell Death

2019 ◽  
Vol 12 (4) ◽  
pp. 261-271
Author(s):  
Soni Shaikh ◽  
Suman K Nandy ◽  
Carles Cantí ◽  
Sergio Lavandero
Keyword(s):  
Cell Death ◽  
Molecular Docking ◽  
Cell Types ◽  
Confocal Imaging ◽  
Bafilomycin A1 ◽  
Atp Production ◽  
Neonatal Cardiomyocytes ◽  
Lysosomotropic Agents ◽  
Docking Approach ◽  
Biochemical Analyses

Objective: Bafilomycin-A1 and ML9 are lysosomotropic agents, irrespective of cell types. However, the mechanisms of lysosome targeting either bafilomycin-A1 or ML9 are unclear. Methods: The present research has been carried out by different molecular and biochemical analyses like western blot, confocal imaging and FACS studies, as well as molecular docking. Results: Our data shows that pre-incubation of neonatal cardiomyocytes with ML9 for 4h induced cell death, whereas a longer period of time (24h) with bafilomycin-A1 was required to induce an equivalent effect. Neither changes in ROS nor ATP production is associated with such death mechanisms. Flow cytometry, LC3-II expression levels, and LC3-GFP puncta formation revealed a similar lysosomotropic effect for both compounds. We used a molecular docking approach, that predicts a stronger inhibitory activity against V-ATPase-C1 and C2 domains for bafilomycin-A1 in comparison to ML9. Conclusion: Bafilomycin-A1 and ML9 are lysosomotropic agents, involved in cell death events. But such death events are not associated with ATP and ROS production. Furthermore, both the drugs target lysosomes through different mechanisms. For the latter, cell death is likely due to lysosomal membrane permeabilization and release of lysosomal proteases into the cytosol.

Molecular Docking Approaches to Suggest the Anti-Mycobacterial Targets of Natural Products

2020 ◽  
Author(s):  
Rafael Baptista ◽  
Sumana Bhowmick ◽  
Shen Jianying ◽  
Luis Mur
Keyword(s):  
Natural Products ◽  
Molecular Docking ◽  
Free Energies ◽  
Antibiotic Resistant ◽  
Drug Lead ◽  
Bisbenzylisoquinoline Alkaloids ◽  
Docking Approach ◽  
Global Threat ◽  
Physicochemical And Structural Properties

Tuberculosis (TB) is a major global threat mostly due to the development of antibiotic resistant forms of Mycobacterium tuberculosis, the causal agent of the disease. Driven by the pressing need for new anti-mycobacterial agents, several natural products (NPs) have been shown to have in vitro activities against M. tuberculosis. The utility of any NP as a drug lead is augmented when the anti-mycobacterial target(s) is unknown. To suggest these, we used a molecular docking approach to predict the interactions of 53 selected anti-mycobacterial NPs against known ‘druggable’ mycobacterial targets ClpP1P2, DprE1, InhA, KasA, PanK, PknB and Pks13. The docking scores / binding free energies were predicted and calculated using AutoDock Vina along with physicochemical and structural properties of the NPs, using PaDEL descriptors. These were compared to the established inhibitor (control) drugs for each mycobacterial target. The specific interactions of the bisbenzylisoquinoline alkaloids 2-nortiliacorinine, tiliacorine and 13’-bromotiliacorinine against the targets PknB and DprE1 (-11.4, -10.9 and -9.8 kcal.mol-1 ; -12.7, -10.9 and -10.3 kcal.mol-1 , respectively) and the lignan αcubebin and Pks13 (-11.0 kcal.mol-1 ) had significantly superior docking scores compared to controls. Our approach can be used to suggest predicted targets for the NP to be validated experimentally but these in silico steps are likely to facilitate drug optimisation.

A New Series Of 1,3-Dimethylxanthine Based Adenosine A2a Receptor Antagonists As A Non-Dopaminergic Treatment Of Parkinson’s Disease

2020 ◽  
Vol 17 ◽  
Author(s):  
Suman Rohilla ◽  
Ranju Bansal ◽  
Puneet Chauhan ◽  
Sonja Kachler ◽  
Karl-Norbert Klotz
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Molecular Docking ◽  
Binding Affinity ◽  
Docking Studies ◽  
Binding Modes ◽  
Molecular Docking Studies ◽  
In Silico Docking ◽  
Adenosine A2a Receptor Antagonists ◽  
The Impact

Background: Adenosine receptors (AR) have emerged as competent and innovative nondopaminergic targets for the development of potential drug candidates and thus constitute an effective and safer treatment approach for Parkinson’s disease (PD). Xanthine derivatives are considered as potential candidates for the treatment Parkinson’s disease due to their potent A2A AR antagonistic properties. Objective: The objectives of the work are to study the impact of substituting N7-position of 8-m/pchloropropoxyphenylxanthine structure on in vitro binding affinity of compounds with various AR subtypes, in vivo antiparkinsonian activity and binding modes of newly synthesized xanthines with A2A AR in molecular docking studies. Methods: Several new 7-substituted 8-m/p-chloropropoxyphenylxanthine analogues have been prepared. Adenosine receptor binding assays were performed to study the binding interactions with various subtypes and perphenazine induced rat catatonia model was used for antiparkinsonian activity. Molecular docking studies were performed using Schrödinger molecular modeling interface. Results: 8-para-substituted xanthine 9b bearing an N7-propyl substituent displayed the highest affinity towards A2A AR (Ki = 0.75 µM) with moderate selectivity versus other AR subtypes. 7-Propargyl analogue 9d produced significantly longlasting antiparkinsonian effects and also produced potent and selective binding affinity towards A2A AR. In silico docking studies further highlighted the crucial structural components required to develop xanthine derived potential A2A AR ligands as antiparkinsonian agents. Conclusion: A new series of 7-substituted 8-m/p-chloropropoxyphenylxanthines having good affinity for A2A AR and potent antiparkinsonian activity has been developed.

Ligand based Drug Design of New Heterocyclic Imines of GABA Analogues: A Molecular Docking Approach for the Discovery of New GABA-AT Inhibitors

2017 ◽  
Vol 17 (1) ◽  
pp. 58-63 ◽  
Author(s):  
Bijo Mathew ◽  
Githa Mathew ◽  
Jerad Suresh ◽  
Dhasthakeer Usman ◽  
Puthucode Subramanyan ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Drug Design ◽  
Docking Approach ◽  
Gaba Analogues

scholarly journals Impact of PD-1 gene polymorphism and its interaction with tea drinking on susceptibility to tuberculosis

2021 ◽  
Vol 149 ◽  
Author(s):  
Jing Wang ◽  
Mian Wang ◽  
Zihao Li ◽  
Xinyin Wu ◽  
Xian Zhang ◽  
...  
Keyword(s):  
Case Control Study ◽  
Preventive Measures ◽  
Nucleotide Polymorphisms ◽  
Unconditional Logistic Regression ◽  
Negative Interaction ◽  
Single Nucleotide ◽  
High Risk Populations ◽  
Tea Drinking ◽  
The Impact ◽  
Control Study

Abstract The aim of this study was to explore the impact of polymorphism of PD-1 gene and its interaction with tea drinking on susceptibility to tuberculosis (TB). A total of 503 patients with TB and 494 controls were enrolled in this case–control study. Three single-nucleotide polymorphisms of PD-1 (rs7568402, rs2227982 and rs36084323) were genotyped and unconditional logistic regression analysis was used to identify the association between PD-1 polymorphism and TB, while marginal structural linear odds models were used to estimate the interactions. Genotypes GA (OR 1.434), AA (OR 1.891) and GA + AA (OR 1.493) at rs7568402 were more prevalent in the TB patients than in the controls (P < 0.05). The relative excess risk of interaction (RERI) between rs7568402 of PD-1 genes and tea drinking was −0.3856 (95% confidence interval −0.7920 to −0.0209, P < 0.05), which showed a negative interaction. However, the RERIs between tea drinking and both rs2227982 and rs36084323 of PD-1 genes were not statistically significant. Our data demonstrate that rs7568402 of PD-1 genes was associated with susceptibility to TB, and there was a significant negative interaction between rs7568402 and tea drinking. Therefore, preventive measures through promoting the consumption of tea should be emphasised in the high-risk populations.

scholarly journals PSI-40 Two mitochondrial lineages revealed in North American yak

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 477-477
Author(s):  
Leah K Treffer ◽  
Edward S Rice ◽  
Anna M Fuller ◽  
Samuel Cutler ◽  
Jessica L Petersen
Keyword(s):  
Sequence Data ◽  
Haplotype Network ◽  
Ovis Aries ◽  
Similar Species ◽  
Nucleotide Polymorphisms ◽  
Mt Dna ◽  
Protein Coding ◽  
Sister Clade ◽  
Mtdna Sequence ◽  
The Impact

Abstract Domestic yak (Bos grunniens) are bovids native to the Asian Qinghai-Tibetan Plateau. Studies of Asian yak have revealed that introgression with domestic cattle has contributed to the evolution of the species. When imported to North America (NA), some hybridization with B. taurus did occur. The objective of this study was to use mitochondrial (mt) DNA sequence data to better understand the mtDNA origin of NA yak and their relationship to Asian yak and related species. The complete mtDNA sequence of 14 individuals (12 NA yak, 1 Tibetan yak, 1 Tibetan B. indicus) was generated and compared with sequences of similar species from GeneBank (B. indicus, B. grunniens (Chinese), B. taurus, B. gaurus, B. primigenius, B. frontalis, Bison bison, and Ovis aries). Individuals were aligned to the B. grunniens reference genome (ARS_UNL_BGru_maternal_1.0), which was also included in the analyses. The mtDNA genes were annotated using the ARS-UCD1.2 cattle sequence as a reference. Ten unique NA yak haplotypes were identified, which a haplotype network separated into two clusters. Variation among the NA haplotypes included 93 nonsynonymous single nucleotide polymorphisms. A maximum likelihood tree including all taxa was made using IQtree after the data were partitioned into twenty-two subgroups using PartitionFinder2. Notably, six NA yak haplotypes formed a clade with B. indicus; the other four haplotypes grouped with B. grunniens and fell as a sister clade to bison, gaur and gayal. These data demonstrate two mitochondrial origins of NA yak with genetic variation in protein coding genes. Although these data suggest yak introgression with B. indicus, it appears to date prior to importation into NA. In addition to contributing to our understanding of the species history, these results suggest the two major mtDNA haplotypes in NA yak may functionally differ. Characterization of the impact of these differences on cellular function is currently underway.

scholarly journals Association of Genetic Polymorphisms in Oxidative Stress and Inflammation Pathways with Glaucoma Risk and Phenotype

2021 ◽  
Vol 10 (5) ◽  
pp. 1148
Author(s):  
Makedonka Atanasovska Velkovska ◽  
Katja Goričar ◽  
Tanja Blagus ◽  
Vita Dolžan ◽  
Barbara Cvenkel
Keyword(s):  
Oxidative Stress ◽  
Ocular Hypertension ◽  
Gene Deletion ◽  
Open Angle Glaucoma ◽  
Protective Role ◽  
Control Group ◽  
Nucleotide Polymorphisms ◽  
Gstm1 Gene ◽  
Stress Genes ◽  
The Impact

Oxidative stress and neuroinflammation are involved in the pathogenesis and progression of glaucoma. Our aim was to evaluate the impact of selected single-nucleotide polymorphisms in inflammation and oxidative stress genes on the risk of glaucoma, the patients’ clinical characteristics and the glaucoma phenotype. In total, 307 patients with primary open-angle glaucoma or ocular hypertension were enrolled. The control group included 339 healthy Slovenian blood donors. DNA was isolated from peripheral blood. Genotyping was performed for SOD2 rs4880, CAT rs1001179, GPX1 rs1050450, GSTP1 rs1695, GSTM1 gene deletion, GSTT1 gene deletion, IL1B rs1143623, IL1B rs16944, IL6 rs1800795 and TNF rs1800629. We found a nominally significant association of GSTM1 gene deletion with decreased risk of ocular hypertension and a protective role of IL1B rs16944 and IL6 rs1800629 in the risk of glaucoma. The CT and TT genotypes of GPX1 rs1050450 were significantly associated with advanced disease, lower intraocular pressure and a larger vertical cup–disc ratio. In conclusion, genetic variability in IL1B and IL6 may be associated with glaucoma risk, while GPX and TNF may be associated with the glaucoma phenotype. In the future, improved knowledge of these pathways has the potential for new strategies and personalised treatment of glaucoma.

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