Dynamics simulation studies on the electric city car with an electromechanical differential and the rear wheels drive

2013 ◽  
Vol 61 (3) ◽  
pp. 661-673 ◽  
Author(s):  
M. Kozłowski ◽  
W. Choromański

Abstract Here we present one of the more complex models for studying the stability of driving an electric car with electromechanical differential systems. The purpose of simulation is to choose a structure of the control system for a velocity control on driven wheels (an algorithm of a differential) most appropriate for the driver. This type of goal is particularly important in the case of a disabled driver sitting in a wheelchair. The modeling takes into account both the mechanical and electric structure of the vehicle, and finally the human element - a simple model of human impact on the steer by a wire system. Modeling and simulation have used MBS package (SimMechanics). The results of the simulation have showed the best algorithms of an electromechanical differential for the velocity control of rear drive wheels: with setting a velocity difference or with an average velocity controller in the point A of the centre of a car front axle.

Author(s):  
Aditi Rathee ◽  
Anil Panwar ◽  
Seema Kumari ◽  
Sanjay Chhibber ◽  
Ashok Kumar

Introduction:: Enzymatic degradation of peptidoglycan, a structural cell wall component of Gram-positive bacteria, has attracted considerable attention being a specific target for many known antibiotics. Methods:: Peptidoglycan hydrolases are involved in bacterial lysis through peptidoglycan degradation. β-N-acetylglucosaminidase, a peptidoglycan hydrolase, acts on O-glycosidic bonds formed by N-acetylglucosamine and N-acetyl muramic acid residues of peptidoglycan. Aim of present study was to study the action of β-N-acetylglucosaminidase, on methicillin- resistant Staphylococcus aureus (MRSA) and other Gram-negative bacteria. Results:: We investigated its dynamic behaviour using molecular dynamics simulation and observed that serine and alanine residues are involved in catalytic reaction in addition to aspartic acid, histidine, lysine and arginine residues. When simulated in its bound state, the RMSD values were found lesser than crystal form in the time stamp of 1000 picoseconds revealing its stability. Structure remained stably folded over 1000 picoseconds without undergoing any major change further confirming the stability of complex. Conclusion:: It can be concluded that enzymes belonging to this category can serve as a tool in eradicating Gram-positive pathogens and associated infections.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shin Irumagawa ◽  
Kaito Kobayashi ◽  
Yutaka Saito ◽  
Takeshi Miyata ◽  
Mitsuo Umetsu ◽  
...  

AbstractThe stability of proteins is an important factor for industrial and medical applications. Improving protein stability is one of the main subjects in protein engineering. In a previous study, we improved the stability of a four-helix bundle dimeric de novo protein (WA20) by five mutations. The stabilised mutant (H26L/G28S/N34L/V71L/E78L, SUWA) showed an extremely high denaturation midpoint temperature (Tm). Although SUWA is a remarkably hyperstable protein, in protein design and engineering, it is an attractive challenge to rationally explore more stable mutants. In this study, we predicted stabilising mutations of WA20 by in silico saturation mutagenesis and molecular dynamics simulation, and experimentally confirmed three stabilising mutations of WA20 (N22A, N22E, and H86K). The stability of a double mutant (N22A/H86K, rationally optimised WA20, ROWA) was greatly improved compared with WA20 (ΔTm = 10.6 °C). The model structures suggested that N22A enhances the stability of the α-helices and N22E and H86K contribute to salt-bridge formation for protein stabilisation. These mutations were also added to SUWA and improved its Tm. Remarkably, the most stable mutant of SUWA (N22E/H86K, rationally optimised SUWA, ROSA) showed the highest Tm (129.0 °C). These new thermostable mutants will be useful as a component of protein nanobuilding blocks to construct supramolecular protein complexes.


2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Wen-Yuan Lee ◽  
Hsin-Yi Chen ◽  
Kuan-Chung Chen ◽  
Calvin Yu-Chian Chen

Rheumatoid arthritis (RA) is a chronic inflammatory disease that will affect quality of life and, working efficiency, and produce negative thoughts for patients. Current therapy of RA is treated with disease-modifying antirheumatic drugs (DMARDs). Although most of these treatment methods are effective, most patients still have a pleasant experience either due to poor efficacy or side effects or both. Interleukin-6 receptor (IL6R) is important in the pathogenesis of RA. In this study, we would like to detect the potential candidates which inhibit IL6R against RA from traditional Chinese medicine (TCM). We use TCM compounds from the TCM Database@Taiwan for virtually screening the potential IL6R inhibitors. The TCM candidate compound, calycosin, has potent binding affinity with IL6R protein. The molecular dynamics simulation was employed to validate the stability of interaction in the protein complex with calycosin. The analysis indicates that protein complex with calycosin is more stable. In addition, calycosin is known to be one of the components ofAngelica sinensis, which has been indicated to have an important role in the treatment of rheumatoid arthritis. Therefore, calycosin is a potential candidate as lead compounds for further study in drug development process with IL6R protein against rheumatoid arthritis.


2014 ◽  
Vol 511-512 ◽  
pp. 619-622 ◽  
Author(s):  
Shou Cheng Li ◽  
Xue Jun Wang

Rail transport conveyer is special transportation equipment that is widely used in the field of metallurgical industry. It is the key to ensure equipment operation efficiency on a production site. But the low lift system efficiency and poor reliability are difficult technical problems in the enterprise. In this case, rail transport conveyer uses the worm gear and screw nut lifting mechanism. The project carries on rail vehicle lifting system modeling and dynamic simulation study through Solid Edge ST5 and ADAMS, combined with simulation technology, virtual prototype design. Research purpose is in order to match the coefficient of friction between the screw and screw nut better, and to match different speed ratio for the drive gear pair and the lifting mechanism being in empty back to travel and work schedule. Another aim is to match the speed of the lifting speed and walking speed, and to reduce the error probability. Results show that the motor can get better speed matching relation with lifting mechanism through research, further optimizing the structure of lifting system parameters. Through the analysis and structure optimization, we can improve the reliability of rail transport vehicle lift system, and implement efficient fast for copper anode lifting and positioning precision. The ultimate goal is to achieve vertical hanging in electrolytic cell anode plate, and to make electrolytic operation to achieve the best state.


Author(s):  
Shahanas Naisam ◽  
Vidhya V. S. ◽  
Suvanish Kumar ◽  
Nidhin Sreekumar

The COVID-19 pandemic wave has recommenced and is spreading like wildfire across the globe. The well-reported antiviral potency of phyto compounds could offer potential drug molecules for the current predicament. The present study analyses the molecular interaction of selected phyto compounds and SARS-CoV-2 molecular target proteins, namely spike protein, RNA-dependent RNA polymerase, 3C-like proteases, and papain-like protease. Ten newly modeled ligands were also considered for the study. Molecular docking analysis was carried out independently using MOE, AutoDock Vina, Schrodinger-Glide, and the stability of protein-ligand interaction was validated through molecular dynamics simulation. Petunidin interacts with spike protein resulting in a good Gscore, binding energy, and H-bond interaction. Also, alions, letestuianin-A, (+)-pinitol show better interaction with RdRp, 3CL-protease, and papain-like protease, respectively. The presented work screens through 2314 ligands to yield top-ranked molecules which could be taken up to develop potential lead molecules via in-vivo analysis.


Molecules ◽  
2020 ◽  
Vol 25 (9) ◽  
pp. 2071
Author(s):  
Syed Sayeed Ahmad ◽  
Meetali Sinha ◽  
Khurshid Ahmad ◽  
Mohammad Khalid ◽  
Inho Choi

Alzheimer’s disease (AD) is the most common type of dementia and usually manifests as diminished episodic memory and cognitive functions. Caspases are crucial mediators of neuronal death in a number of neurodegenerative diseases, and caspase 8 is considered a major therapeutic target in the context of AD. In the present study, we performed a virtual screening of 200 natural compounds by molecular docking with respect to their abilities to bind with caspase 8. Among them, rutaecarpine was found to have the highest (negative) binding energy (−6.5 kcal/mol) and was further subjected to molecular dynamics (MD) simulation analysis. Caspase 8 was determined to interact with rutaecarpine through five amino acid residues, specifically Thr337, Lys353, Val354, Phe355, and Phe356, and two hydrogen bonds (ligand: H35-A: LYS353:O and A:PHE355: N-ligand: N5). Furthermore, a 50 ns MD simulation was conducted to optimize the interaction, to predict complex flexibility, and to investigate the stability of the caspase 8–rutaecarpine complex, which appeared to be quite stable. The obtained results propose that rutaecarpine could be a lead compound that bears remarkable anti-Alzheimer’s potential against caspase 8.


2020 ◽  
Vol 6 (37) ◽  
pp. eabb8368 ◽  
Author(s):  
Hemlata Dwivedi-Agnihotri ◽  
Madhu Chaturvedi ◽  
Mithu Baidya ◽  
Tomasz Maciej Stepniewski ◽  
Shubhi Pandey ◽  
...  

Agonist-induced phosphorylation of G protein–coupled receptors (GPCRs) is a key determinant for their interaction with β-arrestins (βarrs) and subsequent functional responses. Therefore, it is important to decipher the contribution and interplay of different receptor phosphorylation sites in governing βarr interaction and functional outcomes. Here, we find that several phosphorylation sites in the human vasopressin receptor (V2R), positioned either individually or in clusters, differentially contribute to βarr recruitment, trafficking, and ERK1/2 activation. Even a single phosphorylation site in V2R, suitably positioned to cross-talk with a key residue in βarrs, has a decisive contribution in βarr recruitment, and its mutation results in strong G-protein bias. Molecular dynamics simulation provides mechanistic insights into the pivotal role of this key phosphorylation site in governing the stability of βarr interaction and regulating the interdomain rotation in βarrs. Our findings uncover important structural aspects to better understand the framework of GPCR-βarr interaction and biased signaling.


2013 ◽  
Vol 437 ◽  
pp. 716-721 ◽  
Author(s):  
Yue Ming Li ◽  
Ying Hao Zhang ◽  
Guo Cheng Zhang ◽  
Zhong Hui Hu

This paper addresses the stability analysis on S Plane Control in terms of both position and velocity control. Employing Lyapunov stability theory and T-passivity theory, this paper proves the stability of the position controller based on S Plane Control, and on this ground, the stability analysis of the velocity controller based on S Plane Control is done. Finally, the S Plane Control results obtained from the sea trials are given.


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