USING FACEBOOK BRAND COMMUNITIES TO ENGAGE CUSTOMERS: A NEW PERSPECTIVE OF RELATIONSHIP MARKETING

With the advent of digital age, engaging customers on social networking sites has become a crucial marketing activity of companies. This study, through a questionnaire survey of 320 students in India, explores the role of customer engagement in enhancing customer relationships on Facebook brand communities so as to add value to the company. The direct effect of customer participation on word of mouth as well as an indirect effect through the mediation of customer engagement is investigated. The results show a positive relationship between customer participation and word of mouth, results also delineate that customer participation leads to customer engagement, which in turn plays a crucial role in generating word of mouth. This study is the first of its kind in Indian context.&nbsp

Flower Detection in Digital Image Processing using Global Image Enhancement Method

Flowers are plays an important role on the planet as they contain the reproduction part of plants. The only flower parts of plants have ability to produce different kinds of fruit, vegetable, and seeds for humans. Flower seeds also are used to produce oil. Honey bees collect nectar from flowers to produce honey. In this paper a new approach is proposed for flower detection. The proposed algorithm is use Global image enhancement and thresholdging technique for flower detection in digital images

Big data analytics capability and decision making performance in emerging market firms : The role of Contractual and Relational Governance Mechanisms

Peer reviewedPostprin

A combined 3D-QSAR and docking studies for the In-silico prediction of HIV-protease inhibitors

BACKGROUND: Tremendous research from last twenty years has been pursued to cure human life against HIV virus. A large number of HIV protease inhibitors are in clinical trials but still it is an interesting target for researchers due to the viral ability to get mutated. Mutated viral strains led the drug ineffective but still used to increase the life span of HIV patients. RESULTS: In the present work, 3D-QSAR and docking studies were performed on a series of Danuravir derivatives, the most potent HIV- protease inhibitor known so far. Combined study of 3D-QSAR was applied for Danuravir derivatives using ligand-based and receptor-based protocols and generated models were compared. The results were in good agreement with the experimental results. Additionally, docking analysis of most active 32 and least active 46 compounds into wild type and mutated protein structures further verified our results. The 3D-QSAR and docking results revealed that compound 32 bind efficiently to the wild and mutated protein whereas, sufficient interactions were lost in compound 46. CONCLUSION: The combination of two computational techniques would helped to make a clear decision that compound 32 with well inhibitory activity bind more efficiently within the binding pocket even in case of mutant virus whereas compound 46 lost its interactions on mutation and marked as least active compound of the series. This is all due to the presence or absence of substituents on core structure, evaluated by 3D-QSAR studies. This set of information could be used to design highly potent drug candidates for both wild and mutated form of viruses

Molecular docking simulation studies on potent butyrylcholinesterase inhibitors obtained from microbial transformation of dihydrotestosterone

BACKGROUND: Biotransformation is an effective technique for the synthesis of libraries of bioactive compounds. Current study on microbial transformation of dihydrotestosterone (DHT) (1) was carried out to produce various functionalized metabolites. RESULTS: Microbial transformation of DHT (1) by using two fungal cultures resulted in potent butyrylcholinesterase (BChE) inhibitors. Biotransformation with Macrophomina phaseolina led to the formation of two known products, 5α-androstan-3β,17β-diol (2), and 5β-androstan-3α,17β-diol (3), while biotransformation with Gibberella fujikuroi yielded six known metabolites, 11α,17β-dihydroxyandrost-4-en-3-one (4), androst-1,4-dien-3,17-dione (5), 11α-hydroxyandrost-4-en-3,17-dione (6), 11α-hydroxyandrost-1,4-dien-3,17-dione (7), 12β-hydroxyandrost-1,4-dien-3,17-dione (8), and 16α-hydroxyandrost-1,4-dien-3,17-dione (9). Metabolites 2 and 3 were found to be inactive, while metabolite 4 only weakly inhibited the enzyme. Metabolites 5–7 were identified as significant inhibitors of BChE. Furthermore, predicted results from docking simulation studies were in complete agreement with experimental data. Theoretical results were found to be helpful in explaining the possible mode of action of these newly discovered potent BChE inhibitors. Compounds 8 and 9 were not evaluated for enzyme inhibition activity both in vitro and in silico, due to lack of sufficient quantities. CONCLUSION: Biotransformation of DHT (1) with two fungal cultures produced eight known metabolites. Metabolites 5–7 effectively inhibited the BChE activity. Cholinesterase inhibition is among the key strategies in the management of Alzheimer’s disease (AD). The experimental findings were further validated by in silico inhibition studies and possible modes of action were deduced

In silico data mining of large-scale databases for the virtual screening of human interleukin-2 inhibitors

Interleukin-2 (IL-2) is involved in the activation and differentiation of T-helper cells. Uncontrolled activated T cells play a key role in the pathophysiology by stimulating inflammation and autoimmune diseases like arthritis, psoriasis and Crohn’s disease. T cells activation can be suppressed either by preventing IL-2 production or blocking the IL-2 interaction with its receptor. Hence, IL-2 is now emerging as a target for novel therapeutic approaches in several autoimmune disorders. This study was carried out to set up an effective virtual screening (VS) pipeline for IL-2. Four docking/scoring approaches (FRED, MOE, GOLD and Surflex-Dock) were compared in the re-docking process to test their performance in producing correct binding modes of IL-2 inhibitors. Surflex-Dock and FRED were the best in predicting the native pose in its top-ranking position. Shapegauss and CGO scoring functions identified the known inhibitors of IL-2 in top 1, 5 and 10 % of library and differentiated binders from non-binders efficiently with average AUC of > 0.9 and > 0.7, resp. The applied docking protocol served as a basis for the VS of a large database that will lead to the identification of more active compounds against IL-2

ARHITEKTONSKE SLOŽENOSTI I MORFOLOŠKE VARIJACIJE SEDIMENTNIH VALOVA PLIO-PLEISTOCENSKIH KANALA U DELTI INDA

The architecture of the turbidity current sediment waves exhibits intricate morphologies and patterns on the Indus Fan channel levee backslope. The sediment waves are present on the channel levee of Plio-Pleistocene age and are absent in the deeper sections of the study area. The architecture of channel levee backslope on the Indus Fan is poorly understood. We used seismic interpretation techniques and modelling by utilizing high-resolution seismic data to approach this problem. The morphological variations in wavelength, crest dimensions and potential wave formation patterns suggest the autogenic and allogenic processes associated with wave development. Wavelengths reach up to 1473 m with an average of 486.84 m and the height of the levee ranges between 10 m and 60 m (average 30 m). The angle of the channel levee and dimension of the sediment wave here are independent of each other. Low angle levees have accommodated high dimension sediment waves and vice versa at multiple points downslope. Characteristically, the waves have formed on the outer levee (usually left) of the channels marked by steep margins suggesting that flow overspill caused the development of the waves. Generally, the younger sediment waves followed the patterns of older sediment waves, but the varying trends are often observed in the study area. The patterns of the sediment waves towards the younger sections of the levee indicate the modified and varying architectural style of growth. Sediment waves are generated by downslope turbidity currents. However, the deformation features have also possibly triggered the development of sediment waves.Arhitektura sedimentnih valova nastalih uslijed turbiditnih struja pokazuje zamršenu morfologiju i obrasce unutar kanala i njihovih rubova u prostoru deltne lepeze Inda. Tragovi taloženja energijom valova prisutni su u plio-pleistocenskim kanalima i oko njih, no izostaju u dubljim dijelovima istraživanoga područja. Arhitektura rubova kanala u delti Inda do sada nije bila detaljno opisana. U istraživanju ovoga problema korištene su seizmičke metode i modeliranje podataka visoke razlučivosti. Morfološke varijacije u duljinama valova, dimenzijama kresta i potencijalnim obrascima stvaranja valova upućuju na autogene i alogene procese povezane s razvojem valova. Dujine valova dosežu do 1473 m s prosjekom od 486,84 m, a visina se kreće između 10 m i 60 m (prosječno 30 m). Kut rubova kanala i dimenzija vala u ovome slučaju bili su neovisni jedno o drugome. Mali kut omogućio je na nekoliko točaka u nižim dijelovima akomodiranje valova velikih dimenzija i obrnuto. Karakteristični valovi nastajali su na vanjskome dijelu nasipa kanala (obično lijevome) sa strmim rubovima, što upućuje na to da je njihovo prelijevanje utjecalo na energiju. Općenito, mlađi valni sedimenti slijedili su obrasce starijih, ali se ponekad može uočiti i promjena trenda. Obrasci valnih taložina u mlađim naslagama rubova upućuju na promjenu, pa i inverziju oblika. Općenito su valni sedimenti posljedica aktivnosti turbiditnih struja u podnožju rubova kanala, a i njihov nastanak vrlo je usko povezan s deformacijskim strukturama

Exploration of the structural requirements of Aurora Kinase B inhibitors by a combined QSAR, modelling and molecular simulation approach

Aurora kinase B plays an important role in the cell cycle to orchestrate the mitotic process. The amplification and overexpression of this kinase have been implicated in several human malignancies. Therefore, Aurora kinase B is a potential drug target for anticancer therapies. Here, we combine atom-based 3D-QSAR analysis and pharmacophore model generation to identify the principal structural features of acylureidoindolin derivatives that could potentially be responsible for the inhibition of Aurora kinase B. The selected CoMFA and CoMSIA model showed significant results with cross-validation values (q(2)) of 0.68, 0.641 and linear regression values (r(2)) of 0.971, 0.933 respectively. These values support the statistical reliability of our model. A pharmacophore model was also generated, incorporating features of reported crystal complex structures of Aurora kinase B. The pharmacophore model was used to screen commercial databases to retrieve potential lead candidates. The resulting hits were analyzed at each stage for diversity based on the pharmacophore model, followed by molecular docking and filtering based on their interaction with active site residues and 3D-QSAR predictions. Subsequently, MD simulations and binding free energy calculations were performed to test the predictions and to characterize interactions at the molecular level. The results suggested that the identified compounds retained the interactions with binding residues. Binding energy decomposition identified residues Glu155, Trp156 and Ala157 of site B and Leu83 and Leu207 of site C as major contributors to binding affinity, complementary to 3D-QSAR results. To best of our knowledge, this is the first comparison of WaterSwap field and 3D-QSAR maps. Overall, this integrated strategy provides a basis for the development of new and potential AK-B inhibitors and is applicable to other protein targets