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Search Results: 1 - 10 of 35072 matches for " Vinay Kumar Singh3 "
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Hidden markov model for the prediction of transmembrane proteins using MATLAB
Navaneet Chaturvedi*,Vinay Kumar Singh3,Sudhanshu Shanker2,Dhiraj Sinha4
Bioinformation , 2011,
Abstract: Since membranous proteins play a key role in drug targeting therefore transmembrane proteins prediction is active and challenging area of biological sciences. Location based prediction of transmembrane proteins are significant for functional annotation of protein sequences. Hidden markov model based method was widely applied for transmembrane topology prediction. Here we have presented a revised and a better understanding model than an existing one for transmembrane protein prediction. Scripting on MATLAB was built and compiled for parameter estimation of model and applied this model on amino acid sequence to know the transmembrane and its adjacent locations. Estimated model of transmembrane topology was based on TMHMM model architecture. Only 7 super states are defined in the given dataset, which were converted to 96 states on the basis of their length in sequence. Accuracy of the prediction of model was observed about 74 %, is a good enough in the area of transmembrane topology prediction. Therefore we have concluded the hidden markov model plays crucial role in transmembrane helices prediction on MATLAB platform and it could also be useful for drug discovery strategy.
Molecular modeling, dynamics studies and virtual screening of Fructose 1, 6 biphosphate aldolase-II in community acquired- methicillin resistant Staphylococcus aureus (CA-MRSA)
Pramod Kumar Yadav1*, 2, 1,1, Madhu Yadav1, Upasana Srivastav1 & Brijendra Singh3,Budhayash Gautam,Satendra Singh,Madhu Yadav
Bioinformation , 2013,
Abstract: Community-acquired methicillin-resistant Staphylococcus aureus (CA-MRSA) has recently emerged as a nosocomial pathogen to the community which commonly causes skin and soft-tissue infections (SSTIs). This strain (MW2) has now become resistant to the most of the beta-lactam antibiotics; therefore it is the urgent need to identify the novel drug targets. Recently fructose 1,6 biphosphate aldolase-II (FBA) has been identified as potential drug target in CA-MRSA. The FBA catalyses the retro-ketolic cleavage of fructose-1,6-bisphosphate (FBP) to yield dihydroxyacetone phosphate (DHAP) and glyceraldehyde-3-phosphate (G3P) in glycolytic pathway. In the present research work the 3D structure of FBA was predicted using the homology modeling method followed by validation. The molecular dynamics simulation (MDS) of the predicted model was carried out using the 2000 ps time scale and 1000000 steps. The MDS results suggest that the modeled structure is stable. The predicted model of FBA was used for virtual screening against the NCI diversity subset-II ligand databases which contain 1364 compounds. Based on the docking energy scores, it was found that top four ligands i.e. ZINC01690699, ZINC13154304, ZINC29590257 and ZINC29590259 were having lower energy scores which reveal higher binding affinity towards the active site of FBA. These ligands might act as potent inhibitors for the FBA so that the menace of antimicrobial resistance in CA-MRSA can be conquered. However, pharmacological studies are required to confirm the inhibitory activity of these ligands against the FBA in CA-MRSA.
GENOME SIZE DETERMINATION AND RAPD ANALYSIS OF FOUR EDIBLE AROIDS OF NORTH EAST INDIA
Jyoti P. Saikia1*, Bolin K. Konwar 2 and Susmita Singh3
The IIOAB Journal , 2010,
Abstract: Four edible aroid species were selected for the study. The genomic DNA of the plants was isolated and estimated. A part of the genomic DNA was used for analysis using six different primers from Operon Technologies, USA. The genome size determined for the aroids is in the order of Colocasia esculenta> Xanthosoma caracu> Xanthosoma sagittifolium > Amorphophallus paeonifolius. Amorphophallus species was found to be 50% similar to both Xanthosoma caracu and Colocasia esculenta. The analysis will provide a ground for exploring the vast diversified aroid population of the region.
Comparaative study of Lipid profile and level of Antioxidant enzymes in cigarette smokers with non cigaretee smokers
P. K. Chauhan1, Rishma2, V. Singh3 and Abhishek B4
Indian Journal of Pharmaceutical and Biological Research , 2013,
Abstract: Cigarette smoking is the serious health problems and most important avoidable cause of death in world. Worldwide more than 8 million people currently die each year from smoking half of them before of the age of 60. Every cigarette reduces the life span by about 5 minutes. Smoke contains oxidising agents and the oxidation reactions can produce free radicals. In turn, these radicals can start chain reactions that damage cells. In the present study 40 male subjects were divided into four different groups and their lipid profile have been estimated by various tests i.e. Cholesterol, Triglyceride, HDL-C, LDL-C, VLDL-C. It was observed that in cigarette smokers HDL-C level decreased and cholesterol, triglyceride, LDL-C, VLDL-C level increased as compared to the control i.e. non- cigarette smokers. In case of MDA and Antioxidant enzymes test, the value of MDA increases and antioxidant enzymes decreases in cigarette smokers as compared to the control i.e. non- cigarette smokers. The variation in the level of lipid profile and antioxidant enzymes from normal values causes several diseases such as Lung cancer, other cancers, heart disease, and stroke and has numerous immediate health effects on the brain and on the respiratory, cardiovascular, gastrointestinal, immune systems.
Modified Efficient Families of Two and Three-Step Predictor-Corrector Iterative Methods for Solving Nonlinear Equations  [PDF]
Sanjeev Kumar, Vinay Kanwar, Sukhjit Singh
Applied Mathematics (AM) , 2010, DOI: 10.4236/am.2010.13020
Abstract: In this paper, we present and analyze modified families of predictor-corrector iterative methods for finding simple zeros of univariate nonlinear equations, permitting near the root. The main advantage of our methods is that they perform better and moreover, have the same efficiency indices as that of existing multipoint iterative methods. Furthermore, the convergence analysis of the new methods is discussed and several examples are given to illustrate their efficiency.
Elitist Genetic Algorithm Based Energy Balanced Routing Strategy to Prolong Lifetime of Wireless Sensor Networks
Vinay Kumar Singh,Vidushi Sharma
Chinese Journal of Engineering , 2014, DOI: 10.1155/2014/437625
Abstract: Wireless sensor networks have gained worldwide attention in recent years due to the advances made in wireless communication. Unequal energy dissipation causes the nodes to fail. The factors causing the unequal energy dissipation are, firstly, the distance between the nodes and base station and, secondly, the distance between the nodes themselves. Using traditional methods, it is difficult to obtain the high precision of solution as the problem is NP hard. The routing in wireless networks is a combinatorial optimization problem; hence, genetic algorithms can provide optimized solution to energy efficient shortest path. The proposed algorithm has its inherent advantage that it keeps the elite solutions in the next generation so as to quickly converge towards the global optima also during path selection; it takes into account the energy balance of the network, so that the life time of the network can be prolonged. The results show that the algorithm is efficient for finding the optimal energy constrained route as they can converge faster than other traditional methods used for combinatorial optimization problems. 1. Introduction A wireless sensor network (WSN) consists of randomly/manually deployed sensors that sense the physical or environmental events and send the data to the base station. A large number of small, inexpensive, disposable, and autonomous sensor nodes are generally deployed in an ad hoc manner in vast geographical areas for remote operations. Sensor nodes in a WSN are constrained in storage capacity, computation power, bandwidth, and power supply [1–3]. The development of low-cost, low-power, multifunctional sensor has received increasing attention from various industries. Sensor nodes are smaller in size and capable of sensing, gathering, and processing data. They also communicate with other nodes in the network, via radio frequency (RF) channel. The areas of applications of WSNs vary from civil, healthcare, and environmental to military [4]. Recent advances in WSN have led to searching for new routing schemes for wireless sensors where energy awareness is essential consideration. Traditional networks aim to achieve high quality of service (QoS) provisions; thus sensor network schemes must focus primarily on power conservation. Though there are some similarities between the WSN and ad hoc network, like both are multihop communications, they differ in many ways. Some of the power-aware routing protocols proposed for ad hoc networks can be examined for energy constraints, but ad hoc routing techniques proposed in the literature are not
Wave Transmission in Dispersive Si-Based One Dimensional Photonic Crystal  [PDF]
Vipin Kumar, B. Suthar, Arun Kumar, Vinay Kumar, Kh. S. Singh, A. Bhargva, S. P. Ojha
Optics and Photonics Journal (OPJ) , 2012, DOI: 10.4236/opj.2012.223036
Abstract: Transmission of electromagnetic waves through a Si-based one dimensional photonic crystal has been investigated. The proposed structure works as an omni-directional reflector for a certain range of wavelength for an angle of incidence up to 55?. The structure works as a narrow band TM-polarization filter for an angle of incidence more than 55?, i.e. a filter which completely blocks TE-polarized waves but allows certain wavelengths of TM-polarized waves. But at an angle of incidence of 89?, the structure works as a multiple narrow band TM-polarization filter even though no defect layer is introduced inside the structure. It is also found that this multiple narrow pass-bands of TM-polarized waves can be tuned to a desired range of wavelength by changing the temperature of the structure.
General Radiography as Clue for the Working Diagnosis: Sacrospinous Ligament Calcification Leading to Left Ureteric Calculus with Non-Functioning Kidney  [PDF]
B. B. Sharma, Vinay Kumar Govila, Shilpa Singh, Nitish Virmani, Raushan Singh, Rajdeep Thidwar
Open Journal of Radiology (OJRad) , 2016, DOI: 10.4236/ojrad.2016.63030
Abstract: General radiography leaves enough clues for the ongoing diagnostic evaluation of the patient. The important clues can save a lot of time lost and other unnecessary investigations in the management of the patient illness. Sacrospinous ligament connects the sacrum with the pelvis. This in fact stabilizes the pelvis as it provides the support. This is important as this is helpful in supporting the vaginal vault in cases of prolapsed uterus in females. We report a 50-year-old male who had come for his intravenous pyelography for left ureteric calculus and was found to be having multiple other associated findings like osteophytosis, bilateral ilial horns and bilateral sacrospinous ligament calcifications. The clue was that of calcification and hardening of left sacrospinous ligament which has led to the formation of left side ureteric calculus. This ureteric calculus has caused great progressive damage to the left kidney by causing gross hydrouretero-nephrosis due to complete obstruction.
Application of Modified Benders Decomposition to Single-Stage Multi-Commodity Multi-Period Warehouse Location Problem: An Empirical Investigation  [PDF]
Renduchintala Raghavendra Kumar Sharma, Ankita Malviya, Vimal Kumar, Vinay Singh, Pritee Agarwal
American Journal of Operations Research (AJOR) , 2016, DOI: 10.4236/ajor.2016.63025
Abstract: In the past, researchers have applied Bender’s decomposition to distribution problem and used feasibility constraint to speed up the performance of Bender’s decomposition. Further, the application of Branch and Bound to single-stage multi-commodity single-period warehouse location problem (SSMCSPWLP) with strong constraints has shown that they are more effective. It was also shown in the previous research (in the context of Branch and Bound Methodology) that hybrid formulation for the single-stage single-period multi-commodity warehouse location problem yielded superior results. In this paper we apply Benders’ decomposition to strong and weak formulations of single-stage multi-commodity multi-period warehouse location problem (SSMCMPWLP). As suggested in the previous literature we put feasibility constraints in the pure integer sub- problem to speed up the performance of Benders’ decomposition. We also develop an additional cut (constraint that is again added to pure integer sub-problem) and show that it further speeded up Benders’ Decomposition. This research led to the possibility of applying Benders’ Decomposition to the hybrid formulation of SSMCMPWLP in future.
Weighted Least Squares Based Detail Enhanced Exposure Fusion
Harbinder Singh,Vinay Kumar,Sunil Bhooshan
ISRN Signal Processing , 2014, DOI: 10.1155/2014/498762
Abstract: Many recent computational photography techniques play a significant role to avoid limitation of standard digital cameras to handle wide dynamic range of the real-world scenes, containing brightly and poorly illuminated areas. In many of these techniques, it is often desirable to fuse details from images captured at different exposure settings, while avoiding visual artifacts. In this paper we propose a novel technique for exposure fusion in which Weighted Least Squares (WLS) optimization framework is utilized for weight map refinement. Computationally simple texture features (i.e., detail layer extracted with the help of edge preserving filter) and color saturation measure are preferred for quickly generating weight maps to control the contribution from an input set of multiexposure images. Instead of employing intermediate High Dynamic Range (HDR) reconstruction and tone mapping steps, well-exposed fused image is generated for displaying on conventional display devices. A further advantage of the present technique is that it is well suited for multifocus image fusion. Simulation results are compared with a number of existing single resolution and multiresolution techniques to show the benefits of the proposed scheme for variety of cases. 1. Introduction In recent years several new techniques have been developed that are capable of providing precise representation of complete information of shadows and highlights present in the real-world natural scenes. The direct 8-bit gray and 24-bit RGB representation of visual data, with the standard digital cameras in single exposure settings, often causes loss of information in the real-world scenes because the dynamic range of most scenes is beyond what can be captured by the standard digital cameras. Such representation is referred to as low dynamic range (LDR) image. Digital cameras have the aperture setting, exposure time, and ISO value to regulate the amount of light captured by the sensors. It is therefore important to somehow determine exposure setting for controlling charge capacity of the Charge Coupled Device (CCD). In modern digital cameras, Auto Exposure Bracketing (AEB) allows us to take all the images without touching the camera between exposures, provided the camera is on a tripod and a cable release is used. Handling the camera between exposures can increase the chance of miss-alignment resulting in an image that is not sharp or has ghosting. However, most scenes can be perfectly captured with nine exposures [1], whereas many more are within reach of a camera that allows 5–7 exposures to be
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