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Contact Stress and Wear Analysis of Zirconia Against Alumina for Normal and Physically Demanding Loads in Hip Prosthesis

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Journal of Bionic Engineering 2020年第5期17卷 1045-1058页

作者： subramaniam shankar Rajavel Nithyaprakash Palanisamy Sugunesh Mohammad Uddin Alokesh Pramanik Department of Mechatronics Engineering Kongu Engineering CollegeErodeTamilNaduIndia Department of Mechanical Engineering Kongu Engineering CollegeErodeTamilNaduIndia University of South Australia UniSA STEMMawson Lakes CampusMawson LakesSA 5095Australia School of Civil and Mechanical Engineering Curtin UniversityBentleyWAAustralia

Risky gait activities lead to severe wear in orthopaedic implants during postoperative *** aim of the present study is to predict the linear and volumetric wear of zirconia(ZrO2)vs alumina(Al2O3)hip implants subject to risky and normal gait ***,the gait loads pertaining to risky gait activities were converted to equivalent normal *** using the computed normal loads,friction and wear coefficients of ZrO2 ball against Al2O3 disc were calculated from Pin-on-Disc(POD)tribometer under dry and lubricating *** solution,a bio-lubricant was utilized for lubrication purpose to mimic synovial fluid *** gait activities stair ascending or descending,carrying load,lifting load and ladder up or down etc.,grouped as A,B,C and D were used to determine friction and wear *** Element Method(FEM)was employed to predict the wear of the bearing *** developed contact pressure for these gait activities was then utilized to compute linear and volumetric wear for 2 million *** findings suggests that,patients regularly involved in group C and D type gait activities were likely to cause more wear which may accelerate early implant failure.

关键词： hip implants gait activities pin-on-disc lubrication FEM wear

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Reconstruction of Pathways Associated with Amino Acid Metabolism in Human Mitochondria

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Genomics, Proteomics & Bioinformatics 2007年第3期5卷 166-176页

作者： Purnima Guda Chittibabu Guda shankar subramaniam Gen *NY* sis Center for Excellence in Cancer Genomics and Department of Epidemiology and Biostatistics State University of New York at AlbanyRensselaerNY 12144-3456USA San Diego Supercomputer Center University of California at San DiegoLa JollaCA 92093-0505USA Departments of BioengineeringChemistry and BiochemistryUniversity of California at San DiegoLa JollaCA 92093USA.

We have used a bioinformatics approach for the identification and reconstruction of metabolic pathways associated with amino acid metabolism in human mitochondria. Human mitochondrial proteins determined by experimental and computational methods have been superposed on the reference pathways from the KEGG database to identify mitochondrial pathways. Enzymes at the entry and exit points for each reconstructed pathway were identified, and mitochondrial solute carrier proteins were determined where applicable. Intermediate enzymes in the mitochondrial pathways were identified based on the annotations available from public databases, evidence in current literature, or our MITOPRED program, which predicts the mitochondrial localization of proteins. Through integration of the data derived from experimental, bibliographical, and computational sources, we reconstructed the amino acid metabolic pathways in human mitochondria, which could help better understand the mitochondrial metabolism and its role in human health.

关键词： mitochondria metabolic pathways amino acid metabolism human

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B-cell Ligand Processing Pathways Detected by Large-scale Comparative Analysis

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Genomics, Proteomics & Bioinformatics 2012年第3期10卷 142-152页

作者： Fadi Towfic Shakti Gupta Vasant Honavar shankar subramaniam Bioinformatics and Computational Biology Graduate Program Iowa State UniversityAmesIA 50010USA Department of Bioengineering University of California at San DiegoLa JollaCA 92122USA

The initiation of B-cell ligand recognition is a critical step for the generation of an immune response against foreign bodies. We sought to identify the biochemical pathways involved in the B-cell ligand recognition cascade and sets of ligands that trigger similar immunological responses. We utilized several comparative approaches to analyze the gene coexpression networks generated from a set of microarray experiments spanning 33 different ligands. First, we compared the degree distributions of the generated networks. Second, we utilized a pairwise network alignment algorithm, BiNA, to align the networks based on the hubs in the networks. Third, we aligned the networks based on a set of KEGG pathways. We summarized our results by constructing a consensus hierarchy of pathways that are involved in B cell ligand recognition. The resulting pathways were further validated through literature for their common physiological responses. Col- lectively, the results based on our comparative analyses of degree distributions, alignment of hubs, and alignment based on KEGG path- ways provide a basis for molecular characterization of the immune response states of B-cells and demonstrate the power of comparative approaches （e.g., gene coexpression network alignment algorithms） in elucidating biochemical pathways involved in complex signaling events in ceils.

关键词： Ligand recognition B-cells Gene coexpression network alignment

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