5 research outputs found

    QoS Web Service Composition

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    With the rapid increase of Web services, quality of service (QoS) has become an important factor in differentiating different services. In this paper, we look different factors involved in finding the quality of service in composition of web services and the components involved in web services

    Search Based Software Engineering

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    Abstract This paper reviews the search based software engineering research and finds the major milestones in this direction. The SBSE approach has been the topic of several surveys and reviews. Search Based Software Engineering (SBSE) consists of the application of search-based optimization to software engineering. Using SBSE, a software engineering task is formulated as a search problem by defining a suitable candidate solution representation and a fitness function to differentiate between solution candidates. This paper gives an overview of major research studies undertaken in the domain

    Coronal roots and stem lignin content as significant contributors for lodging tolerance in wheat (Triticum aestivum L.)

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    Lodging is the major factor affecting the wheat production worldwide. An investigation was conducted at Punjab Agricultural University, Ludhiana, India, during the rabi seasons of 2018–19 and 2019–20 to study the traits associated with lodging tolerance. Five lodging tolerant (Iranian 58, Iranian 89, Iranian 49, Iranian 61, and Iranian 63), five lodging sensitive (Mexican 711, Mexican 717, Mexican 510, Mexican 448, and Mexican 669), and five control genotypes (PBW723, PBW725, PBW3086, PBW766, and PBW841) were laid out in randomized complete block design with 3 replications. Lodging conditions were simulated in the field by generating strong air currents with the help of pedestal fans for four consecutive days for four hours per day. The crop was subjected to lodging condition at three phenological stages, viz. maximum tillering, anthesis, and post-anthesis stage. After the formation of the basal second internode, two-tagged stems from each plot were sampled at 7-day intervals for 35 days for quantification of lignin and peroxidase activity. At maturity, plants were uprooted and observations recorded on coronal roots. It was concluded that lodging-tolerant genotypes were short in height with a lesser number of tillers and also recorded higher values for coronal root traits, culm lignin content, peroxidase activity, and yield attributes

    Phytoconstituents from ten natural herbs as potent inhibitors of main protease enzyme of SARS-COV-2: In silico study

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    Background: Lack of treatment of novel Coronavirus disease led to the search of specific antivirals that are capable to inhibit the replication of the virus. The plant kingdom has demonstrated to be an important source of new molecules with antiviral potential. Purpose: The present study aims to utilize various computational tools to identify the most eligible drug candidate that have capabilities to halt the replication of SARS-COV-2 virus by inhibiting Main protease (Mpro) enzyme Methods: We have selected plants whose extracts have inhibitory potential against previously discovered coronaviruses. Their phytoconstituents were surveyed and a library of 100 molecules was prepared. Then, computational tools such as molecular docking, ADMET and molecular dynamic simulations were utilized to screen the compounds and evaluate them against Mpro enzyme. Results: All the phytoconstituents showed good binding affinities towards Mpro enzyme. Among them laurolitsine possesses the highest binding affinity i.e. -294.1533 kcal/mol. On ADMET analysis of best three ligands were simulated for 1.2 ns, then the stable ligand among them was further simulated for 20 ns. Results revealed that no conformational changes were observed in the laurolitsine w.r.t. protein residues and low RMSD value suggested that the Laurolitsine-protein complex was stable for 20 ns. Conclusion: Laurolitsine, an active constituent of roots of Lindera aggregata, was found to be having good ADMET profile and have capabilities to halt the activity of the enzyme. Therefore, this makes laurolitsine a good drug candidate for the treatment of COVID-19
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