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Search Results: 1 - 10 of 191467 matches for " D Mohana "
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Site-Specific Labeling of the Type 1 Ryanodine Receptor Using Biarsenical Fluorophores Targeted to Engineered Tetracysteine Motifs
James D. Fessenden, Mohana Mahalingam
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0064686
Abstract: The type 1 ryanodine receptor (RyR1) is an intracellular Ca2+ release channel that mediates skeletal muscle excitation contraction coupling. While the overall shape of RyR1 has been elucidated using cryo electron microscopic reconstructions, fine structural details remain elusive. To better understand the structure of RyR1, we have previously used a cell-based fluorescence resonance energy transfer (FRET) method using a fused green fluorescent protein (GFP) donor and a fluorescent acceptor, Cy3NTA that binds specifically to short poly-histidine ‘tags’ engineered into RyR1. However, the need to permeabilize cells to allow Cy3NTA entry as well as the noncovalent binding of Cy3NTA to the His tag limits future applications of this technique for studying conformational changes of the RyR. To overcome these problems, we used a dodecapeptide sequence containing a tetracysteine (Tc) motif to target the biarsenical fluorophores, FlAsH and ReAsH to RyR1. These compounds freely cross intact cell membranes where they then bind covalently to the tetracysteine motif. First, we used this system to conduct FRET measurements in intact cells by fusing a yellow fluorescent protein (YFP) FRET donor to the N-terminus of RyR1 and then targeting the FRET acceptor, ReAsH to an adjacent Tc tag. Moderate energy transfer (~33%) was observed whereas ReAsH incubation of a YFPRyR1 fusion protein lacking the Tc tag resulted in no detectable FRET. We also developed a FRET-based system that did not require RyR fluorescent protein fusions by labeling N-terminal Tc-tagged RyR1 with FlAsH, a FRET donor and then targeting the FRET acceptor Cy3NTA to an adjacent decahistidine (His10) tag. A high degree of energy transfer (~66%) indicated proper binding of both compounds to these unique recognition sequences in RyR1. Thus, these two systems should provide unprecedented flexibility in future FRET-based structural determinations of RyR1.
Performance Analysis and Optimization of Lumped Parameters of Electrostatic Actuators for Optical MEMS Switches
D. Mohana Geetha,M. Madheswaran
Physics , 2010,
Abstract: This Paper deals design and simulation of electrostatically actuated clamped clamped beam and cantilever beam using finite element analysis method (FEM). A detailed study and performance analysis for various bias voltages is provided in this paper. The pull in voltages for different dimensions of the beams and the natural or the dominant modes and the corresponding eigenvalues have been studied for different bias voltages. The displacement of the beam is also studied for various dimensions of the beam. The results were obtained for the length and the width of both clamped clamped beam and cantilever beam through extensive simulations. The results obtained shows that pull in voltages varies from 2348V to 772V and the natural frequencies vary from 102.92 KHz to 916.35 KHz.
Hybrid modeling and optimization of hardness of surface produced by electric discharge machining using artificial neural networks and genetic algorithm
G. Krishna Mohana Rao,D. Hanumantha Rao,Anjaneya Prasad
Journal of Engineering and Applied Sciences , 2010,
Abstract: The present work is aimed at optimizing the hardness of surface produced in die sinking electric discharge machining (EDM) by considering the simultaneous affect of various input parameters. The experiments are carried out on Ti6Al4V, HE15, 15CDV6 and M-250 by varying the peak current and voltage and the corresponding values of hardness were measured. Multiperceptron neural network models were developed using Neuro solutions package. Genetic algorithm concept is used to optimize the weighting factors of the network. It is observed that the developed model is within the limits of the agreeable error when experimental and network model results are compared. It is further observed that the error when the network is optimized by genetic algorithm has come down to less than 2% from more than 5%. Sensitivity analysis is also done to find the relative influence of factors on the performance measures. It is observed that type of material effectively influences the performance measures.
Optimal Power Flow Using Firefly Algorithm with Unified Power Flow Controller  [PDF]
T. Hariharan, K. Mohana Sundaram
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.78168
Abstract: Firefly algorithm is the new intelligent algorithm used for all complex engineering optimization problems. Power system has many complex optimization problems one of which is the optimal power flow (OPF). Basically, it is minimizing optimization problem and subjected to many complex objective functions and constraints. Hence, firefly algorithm is used to solve OPF in this paper. The aim of the firefly is to optimize the control variables, namely generated real power, voltage magnitude and tap setting of transformers. Flexible AC Transmission system (FACTS) devices may used in the power system to improve the quality of the power supply and to reduce the cost of the generation. FACTS devices are classified into series, shunt, shunt-series and series-series connected devices. Unified power flow controller (UPFC) is shunt-series type device that posses all capabilities to control real, reactive powers, voltage and reactance of the connected line in the power system. Hence, UPFC is included in the considered IEEE 30 bus for the OPF solution.
Effectiveness and efficiency of chemical mutagens in cowpea (Vigna unguiculata (L.) Walp)
D Dhanavel, P Pavadai, L Mullainathan, D Mohana, G Raju, M Girija, C Thilagavathi
African Journal of Biotechnology , 2008,
Abstract: A study was undertaken in a cowpea (Vigna unguiculata (L.) Walp.) variety CO 6 to assess the efficiency and effectiveness of chemical mutagens; ethyl methane sulphonate (EMS), diethyl sulphate (DES) and sodium azide (SA). EMS treatments were found highly effective than the other chemicals. Mutagenic effectiveness and efficiency decreased with increase in all mutagenic treatments.
Development of hybrid model and optimization of metal removal rate in electric discharge machining using artificial neural networks and genetic algorithm
G Krishna Mohana Rao,G Ranga Janardhana,D. Hanumantha Rao,M. Srinivasa Rao
Journal of Engineering and Applied Sciences , 2008,
Abstract: The present work is aimed at optimizing the metal removal rate of die sinking electric discharge machining (EDM) by considering the simultaneous affect of various input parameters. The experiments are carried out on Ti6Al4V, HE15, 15CDV6 and M-250. Experiments were conducted by varying the peak current and voltage and the corresponding values of metal removal rate (MRR) were measured. Multiperceptron neural network models were developed using Neuro solutions package. Genetic algorithm concept is used to optimize the weighting factors of the network. It is observed that the developed model is within the limits of the agreeable error when experimental and network model results are compared for all performance measures considered. It is further observed that the maximum error when the network is optimized by genetic algorithm has been reduced considerably. Sensitivity analysis is also done to find the relative influence of factors on the performance measures. It is observed that type of material is having more influence on the performance measures.
Development of new TGMS lines with good floral traits in rice
K. Thiyagarajan, S. Manonmani, D. Malarvizhi, S. Robin, R. Pushpam and K. Mohana Sundaram
Electronic Journal of Plant Breeding , 2010,
Abstract: Two-line breeding in exploitation of thermo-sensitive genic male sterile system is pursued with the objective ofdevelopment of hybrids with high heterotic potential. A total of 66 new TGMS lines were developed and screenedunder sterility favoring environment for tgms gene expression during summer and sterility limiting environment duringwinter at Paddy Breeding Station, Coimbatore for the past five years. Out of 66 TGMS lines, 15 lines showed stableperformance and seven TGMS lines viz., COTGMS 02, COTGMS 07, COTGMS 10, COTGMS 11, COTGMS 12,COTGMS 13 and COTGMS 15 were completely pollen sterile throughout the summer period. These lines had widersterility expression period with very good floral traits viz., higher pollen sterility per cent, panicle and stigma exsertionper cent, wider glume opening favorable for enhanced out-crossing rate and seed set percentage during seed production.
Exploration of Sitagliptin as a potential inhibitor for the M1 Alanine aminopeptidase enzyme in Plasmodium falciparum using computational docking
Mohana Krishnamoorthy,Anant Achar
Bioinformation , 2013,
Abstract: Plasmodium falciparum has limited capacity for de novo amino acid synthesis and rely on degradation of host hemoglobin to maintain protein metabolism and synthesis of proteins. M1 alanine aminopeptidase enzyme of the parasite involved in the terminal degradation of host hemoglobin was subjected to in silico screening with low molecular weight protease inhibitors. The km (avg) of the enzyme M1 alanine aminopeptidase for the substrate DL – Alanine β Napthylamide Hydrochloride was estimated as 322.05μM. The molecular interactions between the enzyme and the substrate and the mechanism of enzyme action were analyzed which paved way for inhibition strategies. Among all the inhibitors screened, Sitagliptin was found to be most potent inhibitor with ki of 0.152 μM in its best orientation whereas the ki(avg) was 2.0055 μM. The ki of Sitagliptin is lower than the km of M1 alanine aminopeptidase for the substrate DL – Alanine β Napthylamide Hydrochloride (322.05 μM) and Ki of the known inhibitor Bestatin. Therefore Sitagliptin may serve as a potent competitive inhibitor of the enzyme M1 alanine aminopeptidase of Plasmodium falciparum.
Application of Nanobiosensors and Biochips in Health Care : A Review
Murugan Veerapandian,Mohana Marimuthu
Pharmaceutical Reviews , 2008,
Abstract: This review is an attempt to analyze the different applications of nanobiosenors and biochips in health care. The biological and medical fields have seen great advances in biomolecules. This review is meant to provide an overview of the various types of biosensors and biochips that have been developed for biological and medical applications, along with significant advances over the last several years in these technologies. It also attempts to describe various classification schemes that can be used for categorizing the different biosensors and provide relevant examples of these classification schemes from recent literature.
Breeding three line rice hybrids with good grain quality
S. Manonmani*, D. Malarvizhi, S. Robin, M. Umadevi, M.Ameenal, R.Pushpam, K. Mohana Sundaram and K.Thiyagarajan
Electronic Journal of Plant Breeding , 2010,
Abstract: Studies were conducted on 20 rice hybrids with checks to assess the genetic variability, heritability and correlationamong the genotypes for fifteen grain quality characters and grain yield. Seeds collected from the thirteen hybridsand check varieties were used for grain quality analysis. To assess the cooking qualities, a total of 30 unbrokenmilled grains were measured for their length and breadth before cooking. After cooking the grains in water for 10minutes, they were cooked in boiling water for 20 minutes. The cooked grains were drained by placing on mottingpaper. The ratio of kernel length after cooking to kernel breath after cooking was expressed as kernel elongationratio. The linear elongation ratio and breadth-wise elongation ratio was calculated as ratio of kernal length aftercooking to kernal length and ratio of kernal breadth after cooking to kernel breadth respectively. The ratio of volumeexpansion and the increase in weight after cooking of the kernels was also recorded. The hybrids viz., TNRH 160,TNRH 180, TNRH 174, TNRH 173, TNRH 179 recorded medium slender grain type, high head rice recovery, highmilling percentage, high LER and low BER and intermediate GT. These hybrids are not having aroma which ispreferred by south Indians. Hence, these hybrids will be exploited.
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