A Unique Approach for Comparison of Protein Sequence Using PCA Analysis

Purpose/Thesis: This paper examines the position of public libraries in smart city strategies. To that end, I verify two hypotheses, H1: Cities analyzed employ strategic plans to define their path to “smartness”, and H2: Public libraries are a part of these strategies. Approach/Methods: Top 30 cities from the ranking of IESE Cities in Motion Index 2019 were selected. The hypotheses were tested through the analysis of strategy documents and web portals. In most cases, the analysis relied on English versions of said documents/portals, occasionally compared with the national language version . Results and conclusions: The process of verifying the first hypothesis led to identifying four groups: G1, comprising cities with a general strategy, presumed to include smart initiatives (3 cities), G2: cities with a separate “smart city” strategy, published on their own portal, or a related website (15 cities); G3: cities with subsites/portals briefly summarizing their activities in the area of ‘smart’ development (10 cities), and G4: cities with many sectoral strategies, presumed to include smart initiatives (2 cities). The analysis allowed the identification of a number of areas in which public libraries already contribute to smart development: smart building, smart infrastructure, smart services, digital skills and life-long learning, sustainability, creativity, digital citizenship and smart business Originality/Value: Although many library and information science scholars study smart cities, no similar study has been conducted, and therefore, this paper, with its unique approach, offers a new perspective on the discussion on smart libraries.

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The Long Term Planning Process - A Unique Approach for the Development of Future Force Structure

10.21236/ada413654 ◽

2003 ◽

Author(s):

Josef Pokorny

Keyword(s):

Planning Process ◽

Force Structure ◽

Unique Approach

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Nglyc: A Random Forest Method for Prediction of N-Glycosylation Sites in Eukaryotic Protein Sequence

Protein and Peptide Letters ◽

10.2174/0929866526666191002111404 ◽

2020 ◽

Vol 27 (3) ◽

pp. 178-186 ◽

Cited By ~ 2

Author(s):

Ganesan Pugalenthi ◽

Varadharaju Nithya ◽

Kuo-Chen Chou ◽

Govindaraju Archunan

Keyword(s):

Random Forest ◽

Protein Sequence ◽

Glycosylation Site ◽

Computational Method ◽

The Other ◽

Eukaryotic Protein ◽

Random Forest Method ◽

Glycosylation Sites ◽

Human And Mouse ◽

Better Than

Background: N-Glycosylation is one of the most important post-translational mechanisms in eukaryotes. N-glycosylation predominantly occurs in N-X-[S/T] sequon where X is any amino acid other than proline. However, not all N-X-[S/T] sequons in proteins are glycosylated. Therefore, accurate prediction of N-glycosylation sites is essential to understand Nglycosylation mechanism. Objective: In this article, our motivation is to develop a computational method to predict Nglycosylation sites in eukaryotic protein sequences. Methods: In this article, we report a random forest method, Nglyc, to predict N-glycosylation site from protein sequence, using 315 sequence features. The method was trained using a dataset of 600 N-glycosylation sites and 600 non-glycosylation sites and tested on the dataset containing 295 Nglycosylation sites and 253 non-glycosylation sites. Nglyc prediction was compared with NetNGlyc, EnsembleGly and GPP methods. Further, the performance of Nglyc was evaluated using human and mouse N-glycosylation sites. Results: Nglyc method achieved an overall training accuracy of 0.8033 with all 315 features. Performance comparison with NetNGlyc, EnsembleGly and GPP methods shows that Nglyc performs better than the other methods with high sensitivity and specificity rate. Conclusion: Our method achieved an overall accuracy of 0.8248 with 0.8305 sensitivity and 0.8182 specificity. Comparison study shows that our method performs better than the other methods. Applicability and success of our method was further evaluated using human and mouse N-glycosylation sites. Nglyc method is freely available at https://github.com/bioinformaticsML/ Ngly.

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Herbal Products for Common Auto-Inflammatory Disorders - Novel Approaches

Combinatorial Chemistry & High Throughput Screening ◽

10.2174/1386207321666180213093449 ◽

2018 ◽

Vol 21 (3) ◽

pp. 161-174 ◽

Cited By ~ 7

Author(s):

Shanoo Suroowan ◽

Fawzi Mahomoodally

Keyword(s):

Adverse Effects ◽

Chronic Conditions ◽

Herbal Medicines ◽

Review Article ◽

Herbal Products ◽

Inflammatory Disorders ◽

Treatment Regimens ◽

Synthetic Agents ◽

Unique Approach ◽

Novel Approaches

Background: Common auto-inflammatory disorders (CAIDs) constitute a wide array of ailments ranging from acute allergies to chronic conditions. Globally, CAIDs remain one of the leading causes of disability and morbidity. Despite playing a leading therapeutic role, the vast profusion of anti-inflammatory synthetic agents have not been able to fully resolve a panoply of CAIDs. Additionally, contemporary synthetic therapy approaches remain bounded by a wide array of limitations essentially being adverse effects and unaffordable costs. In this advent, the use of herbal products provides an interesting avenue to explore in view of developing such treatment regimens. Objective: This review article endeavors to highlight potential herbal products and isolated phytochemicals which can be of benefit in the prophylaxis, management, and treatment alongside avoiding the relapse of CAIDs. Conclusion: This review article has highlighted that herbals, herbal products, and isolated metabolites hold a huge potential in the prophylaxis, management, and treatment of CAIDs. Herbals can act on various targets involved in the pathogenesis of inflammatory disorders. In addition, novel approaches for the management of CAIDs are numerous. Indeed, nanoparticles loaded with phytochemicals have been developed to specifically target the colon for IBD treatment. In silico approaches using herbals also offer unlimited avenues to decipher new pharmacophores. Investigating the potential of polyherbal formulations is another unique approach which can be investigated. Given the inefficacy of conventional medicines, the concomitant use of conventional and herbal medicines can also be explored.

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