Manuscripts

Recent Papers

ANXA5 Gene: An Insilco approach for SNP analysis associated with RPL

Miscarriage is the most familiar pregnancy obstacle affecting up to 15% of all clinically recognized pregnancies. Annexin A5 gene is a well-recognized predisposition factor for recurrent spontaneous abortion. Annexin A5 is both Ca2+ and phospholipids binding protein that is localized at the surface of the placental syncytiotrophoblast layer and performs a vital role in anticoagulant function in the maternal blood at the inter villous space. It has been recently shown that polymorphisms in the promoter region of the annexin A5 gene (ANXA5) are significantly associated with RPL. The present study focuses on the comprehensive analysis of the functional and structural impact of all known SNPs of ANXA5 gene by using computational approaches. Comprehensive analysis was performed to filter the most probable mutation that might be associated with RSA. It resulted in identification of SNPs which are most deleterious and disease associated. The study reveals that these two rs111418524, rs41278081 SNPs have more significant effect on structure and function of the protein.

Published by: Nasreen Sultana, Jeevan Amos. S, Kasturi. K

Author: Nasreen Sultana

Paper ID: V3I2-1221

Paper Status: published

Published: March 13, 2017

Full Details

Insilico studies on Taste Receptor Gene (Tas2r38) and Tas2r38 Protein interaction with Ligands PTC and PROP using Docking Approach

The G protein-coupled receptor(gpcr)Tas2r38 is a bitter taste receptor that can respond to bitter compounds such as phenylthiocarbamide(PTC) and 6-n-PROPylthiouracil(PROP).This receptor was chosen because of its haplotypes (based on three residue site polymorphism) htas2r38pav, htas2r38avi are known to have a dramatically different response to ligands PTC and PROP. A docking study is performed to propose the best affinity between ligands PTC & PROP against the various active site of tas2r38 protein. The 3D structure of tas2r38 bitter taste receptor was predicted using GPCR-I-TASSER. The interaction of tas2r38 protein with ligands PTC & PROP were studied, their chemical structures were drawn using Marvin sketch and the potential ligands were optimized using pyrx. Meta pocket tool was used to predict the binding sites for htas2r38pav, htas2r38avi bound to Ptc & PROP respectively. Further, the docking studies of tas2r38 protein with Ptc & PROP was performed using pyrx tools and their interaction with the tas2r38 protein was visualized using discovery studio. The ligand PTC & PROP was docked on the protein PAV at the active sites 108,112,199 & 266 which showed a docking efficiencies of -4.6,-4.5,-4.7 &-5.3 respectively. Also, these ligands were docked on another haplotype AVI at the active sites 198,262,266 which showed a docking efficiencies of -4.7,-5.1, respectively. On the basis of their binding scores, it was predicted that the ligand PTC has a higher binding affinity to the haplotypes PAV and AVI as compared to the ligand PROP.

Published by: Manisha Mathur, Parakh Sharma, Faiza S. Khan, Mrunmai Pednekar

Author: Manisha Mathur

Paper ID: V3I2-1216

Paper Status: published

Published: March 11, 2017

Full Details

A Review on Distribution Feeder Reconfiguration Methods

Distribution Feeder Reconfiguration (DFR) is a critical analysis to optimize and control the distribution system and an important function of distribution automation system. Distribution feeders are configured radially. Their configurations may be varied with manual or automatic switching operations so that all of the loads are supplied with acceptable voltage levels, reduce power loss and enhance power quality. DFR also relieves the overloading of the network components. The change in network configuration is performed by opening sectionalizing (normally closed) and closing tie (normally open) switches of the network. These switchings are performed in such a way that the radiality of the network is maintained and all of the loads are energized. This paper presents a review of Distribution Feeder Reconfiguration (DFR) methods which includes heuristic and genetic algorithm approach.

Published by: K. K. S. V. V Prakasa Rao, V. C Veera Reddy

Author: K. K. S. V. V Prakasa Rao

Paper ID: V3I2-1215

Paper Status: published

Published: March 11, 2017

Full Details
Research Paper

Optimize workflow scheduling Using Hybrid Ant Colony Optimization (ACO) & Particle Swarm Optimization (PSO) Algorithm in Cloud Environment

AbstractThose days are gone when storing and accessing of data were done on computer’s hard drive. Now with innovation in technology and with the great success of Internet Computing resources have become more economical, more powerful and more ubiquitously available than ever before. This technological trend of the 21st century has given birth to the realization of a new computing model called Cloud Computing. This Computing is not only about the hard drives were storing and accessing can be done but it is latest computing paradigm and it offers tremendous opportunities to solve the large-scale scientific problem. To fully exploit the applications of cloud, various challenges need to be addressed where scheduling is one among them. Although catholic research has been done on Workflow Scheduling, there are very few edges tailored for Cloud environments. For some basic principles of Cloud such as elasticity and heterogeneity existing work fails to meet optimal solution. Therefore our work focuses on the scheduling strategies for scientific workflow on IaaS cloud. We present an algorithm based on the meta- heuristic optimization technique where the best of two algorithms Ant colony Optimization (ACO) and Particle Swarm Optimization (PSO) are merged to optimize locally and globally which minimizes the overall workflow time (makespan) and reduces the cost. Our heuristic is evaluated using CloudSim and several well-known scientific workflows of different sizes. The results show that our approach performs better when compared to PSO algorithm.

Published by: Misha Goyal, Mehak Aggarwal

Author: Misha Goyal

Paper ID: V3I2-1213

Paper Status: published

Published: March 11, 2017

Full Details

A Survey on How Main Method Working in C Programming

Abstract: By the completion of this paper study we have the better idea about the main method. Generally, many people have the doubt about the main method is the predefined or user defined method? If it is user defined where is the prototype of that method? or If it is predefined in which header file its prototype is present? By the end of this paper study, we have the clarity of Is main method is a user-defined or predefined method. And also this paper give the clarity about user-defined and predefined methods in C Programming.

Published by: G. Anupama, M. Phani Anusha, Y. Vasanthi

Author: G. Anupama

Paper ID: V3I2-1212

Paper Status: published

Published: March 11, 2017

Full Details

Towards A Dynamic Revelation of Shrewd Administrations in the Social Internet of Things

The worldview of the Social Internet of Things (SIoT) helps another pattern wherein the availability and ease of use advantages of Social Network Services (SNS) are displayed inside the system of associated articles, i.e. the Internet of Things (IoT). The SIoT surpasses the more conventional worldview of IoT with an improved insight and setting mindfulness. In this paper, a novel administration structure in light of a subjective thinking approach for dynamic SIoT administration's revelation in savvy spaces is proposed. That is, thinking about clients' situational needs, inclinations, and other social viewpoints alongside clients' encompassing environment is proposed for producing a rundown of circumstance mindful administrations which match clients' needs. This thinking methodology is then executed as a proof-of-idea proto-sort, to be specific Airport Dynamic Social, inside a shrewd airplane terminal. At last, an exact review to assess the thinking methodology's efficiency demonstrates enhanced administration's flexibility to situ-atonal needs contrasted with normal methodologies proposed in writing

Published by: Aslam Karjagi, Md Azharuddin Adhoni, Md Imtiyaz Gulbarga, Sayed Md Mubashir Qureshi, Jabeen Patel

Author: Aslam Karjagi

Paper ID: V3I2-1211

Paper Status: published

Published: March 11, 2017

Full Details
Request a Call
If someone in your research area is available then we will connect you both or our counsellor will get in touch with you.

    [honeypot honeypot-378]

    X
    Journal's Support Form
    For any query, please fill up the short form below. Try to explain your query in detail so that our counsellor can guide you. All fields are mandatory.

      X
       Enquiry Form
      Contact Board Member

        Member Name

        [honeypot honeypot-527]

        X
        Contact Editorial Board

          X

            [honeypot honeypot-310]

            X