67 research outputs found
In-Silico Computing of the Most Deleterious nsSNPs in HBA1 Gene.
No full textBackgroundα-Thalassemia (α-thal) is a genetic disorder caused by the substitution of single amino acid or large deletions in the HBA1 and/or HBA2 genes.MethodUsing modern bioinformatics tools as a systematic in-silico approach to predict the deleterious SNPs in the HBA1 gene and its significant pathogenic impact on the functions and structure of HBA1 protein was predicted.Results and discussionA total of 389 SNPs in HBA1 were retrieved from dbSNP database, which includes: 201 non-coding synonymous (nsSNPs), 43 human active SNPs, 16 intronic SNPs, 11 mRNA 3' UTR SNPs, 9 coding synonymous SNPs, 9 5' UTR SNPs and other types. Structural homology-based method (PolyPhen) and sequence homology-based tool (SIFT), SNPs&Go, PROVEAN and PANTHER revealed that 2.4% of the nsSNPs are pathogenic.ConclusionsA total of 5 nsSNPs (G60V, K17M, K17T, L92F and W15R) were predicted to be responsible for the structural and functional modifications of HBA1 protein. It is evident from the deep comprehensive in-silico analysis that, two nsSNPs such as G60V and W15R in HBA1 are highly deleterious. These "2 pathogenic nsSNPs" can be considered for wet-lab confirmatory analysis
Comparing the helix, protein binding, Disordered region and exposed/buried residues.
No full textComparing the helix, protein binding, Disordered region and exposed/buried residues.</p
Total energy and RMSD of deleterious nsSNPs.
No full textTotal energy and RMSD of deleterious nsSNPs.</p
Cumulative prediction of possible deleterious nsSNPs.
No full textCumulative prediction of possible deleterious nsSNPs.</p
A: Comparing the secondary structure of the mutated and native HBA1 protein. B: Ramachandran plot of constructed HBA1 protein. Most of the amino acid residues were in the most favored region. C: Protein binding regions in the secondary structure of HBA1 protein. D: States of the secondary structure. E: Eight class Secondary structure of HBA1 protein by RaptorX.
No full textA: Comparing the secondary structure of the mutated and native HBA1 protein. B: Ramachandran plot of constructed HBA1 protein. Most of the amino acid residues were in the most favored region. C: Protein binding regions in the secondary structure of HBA1 protein. D: States of the secondary structure. E: Eight class Secondary structure of HBA1 protein by RaptorX.</p
Super imposed 3D structures of the native and highly deleterious mutated HBA1 proteins.
No full textSuper imposed 3D structures of the native and highly deleterious mutated HBA1 proteins.</p
Molecular dynamic simulation of native and mutant HBA1.
No full textMolecular dynamic simulation of native and mutant HBA1.</p
Graphic illustration of bioinformatic tools used for the precise identification of the most deleterious nsSNPs of <i>HBA1</i> gene.
No full textGraphic illustration of bioinformatic tools used for the precise identification of the most deleterious nsSNPs of HBA1 gene.</p
Prediction matching to the highly pathogenic nsSNPs of <i>HBA1</i> gene.
No full textThe 2 highly pathogenic nsSNPs are having the scores: Polyphen >0.9; Panther >0.55; SNPs&Go >0.8; SIFT = 0; PROVEAN 65.</p
Adoption of E-commerce in Nigerian Businesses : A Change from Traditional to E-commerce Business Model in Richbol Environmental Services Limited
Get PDFThe emergence of e-commerce is changing many traditional ways of doing business and there are lots of success story regarding e-commerce in developed countries. These successes have prompted governments and business organizations in developing countries including Nigeria to step up their effort in the adoption and use of e-commerce technology.
The rapid rise of e-commerce has brought with it a large amount of e-commerce business models which are more easy to implement, run, and profit-oriented. With these rapid changes in business environment and processes, it has become paramount for traditional businesses to “move along with time” by changing their business model in order to remain relevant and competitive in this modern time.
The aim of this research is to examine various e-commerce business models and recommend one that fits into the business processes of Richbol Environmental Services, and device a way(s) in which it can be implemented. In other words, focus is on the change of business model from brick-and-mortar to e-commerce business model.
Qualitative research methodology was utilized in this study. The qualitative research data consisted of two in-depth interviews with key managers of Richbol Environmental Services Limited. The respondents who are directly involved in the management of the company gave an in-depth analysis of the pros and cons of their business model, and also indicated their desire to adopt an e-commerce business model amidst concerns over potential safety issues.
The author recommends that management within Richbol re-evaluate their current business model and endeavor to modify their website for this purpose. It is also recommended that e-shop business model be adopted as it is easy to implement, fits well with the product they offer, and represents an avenue in which most online businesses start their e-business adventures
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