A WSN (wireless sensor network) consists of lakhs of sensor nodes with low level energy, memory management, and computation routing capability. The real time world applications of WSN in some extreme perceive environm...A WSN (wireless sensor network) consists of lakhs of sensor nodes with low level energy, memory management, and computation routing capability. The real time world applications of WSN in some extreme perceive environment arrange sensor nodes complex to exchange once they use up the resource. Hence, lots of researchers in this field going towards on how to design a property routing protocol with extension route procedures to safety of transmission with prolong the life span of the network. The classical hybrid protocols such as LEACH and GPSR have better performance in saving the power consumption. However, the choosing formula eliminates the change of nodes’ Route will make the nodes acting as cluster heads too many times die of route with power early expressions to the consumption of too much Power and saves the route path. In this paper, we present WSN network route extension with supporting of cloud architecture of the state-of-the-art routing techniques in WSNs. Our Proposed Research belongs overcome of GPSR (Greedy Perimeter Stateless Routing) to EC-GPSR (Efficient Coverage-GPSR), ERA (Efficient Route Autonomous) and IC-GPSR (Isolated Coverage-GPSR) with solving of Route problems due to Route extension with help of cloud to store availability of routes and improve the scalability with compare AODV.展开更多
In this work, the most detrimental missense mutations of Madl protein that cause various types of cancer were identified computationally and the substrate binding efficiencies of those missense mutations were analyzed...In this work, the most detrimental missense mutations of Madl protein that cause various types of cancer were identified computationally and the substrate binding efficiencies of those missense mutations were analyzed. Out of 13 missense mutations, I Mutant 2.0, SIFT and PolyPhen programs identified 3 variants that were less stable, deleterious and damaging respectively. Subsequently, modeling of these 3 variants was performed to understand the change in their conformations with respect to the native Madl by computing their root mean squared deviation （RMSD）. Furthermore, the native protein and the 3 mutants were docked with the binding partner Mad2 to explain the substrate binding efficiencies of those detrimental missense mutations. The docking studies identified that all the 3 mutants caused lower binding affinity for Mad2 than the native protein. Finally, normal mode analysis determined that the loss of binding affinity of these 3 mutants was caused by altered flexibility in the amino acids that bind to Mad2 compared with the native protein. Thus, the present study showed that majority of the substrate binding amino acids in those 3 mutants displayed loss of flexibility, which could be the theoretical explanation of decreased binding affinity between the mutant Madl and Mad2.展开更多
文摘A WSN (wireless sensor network) consists of lakhs of sensor nodes with low level energy, memory management, and computation routing capability. The real time world applications of WSN in some extreme perceive environment arrange sensor nodes complex to exchange once they use up the resource. Hence, lots of researchers in this field going towards on how to design a property routing protocol with extension route procedures to safety of transmission with prolong the life span of the network. The classical hybrid protocols such as LEACH and GPSR have better performance in saving the power consumption. However, the choosing formula eliminates the change of nodes’ Route will make the nodes acting as cluster heads too many times die of route with power early expressions to the consumption of too much Power and saves the route path. In this paper, we present WSN network route extension with supporting of cloud architecture of the state-of-the-art routing techniques in WSNs. Our Proposed Research belongs overcome of GPSR (Greedy Perimeter Stateless Routing) to EC-GPSR (Efficient Coverage-GPSR), ERA (Efficient Route Autonomous) and IC-GPSR (Isolated Coverage-GPSR) with solving of Route problems due to Route extension with help of cloud to store availability of routes and improve the scalability with compare AODV.
文摘In this work, the most detrimental missense mutations of Madl protein that cause various types of cancer were identified computationally and the substrate binding efficiencies of those missense mutations were analyzed. Out of 13 missense mutations, I Mutant 2.0, SIFT and PolyPhen programs identified 3 variants that were less stable, deleterious and damaging respectively. Subsequently, modeling of these 3 variants was performed to understand the change in their conformations with respect to the native Madl by computing their root mean squared deviation （RMSD）. Furthermore, the native protein and the 3 mutants were docked with the binding partner Mad2 to explain the substrate binding efficiencies of those detrimental missense mutations. The docking studies identified that all the 3 mutants caused lower binding affinity for Mad2 than the native protein. Finally, normal mode analysis determined that the loss of binding affinity of these 3 mutants was caused by altered flexibility in the amino acids that bind to Mad2 compared with the native protein. Thus, the present study showed that majority of the substrate binding amino acids in those 3 mutants displayed loss of flexibility, which could be the theoretical explanation of decreased binding affinity between the mutant Madl and Mad2.
