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- 저자 : Shankaracharya, Shankaracharya (검색결과 2 건)
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Shankar Acharya,Varun Khanna,Manoj Kumar 대한척추외과학회 2022 대한척추외과학회지 Vol.29 No.4
Study Design: Cross-sectional, record-based. Objectives: To analyze the cervical sagittal (CS) and thoracic inlet (TI) parameters in asymptomatic adults and form predictive equations for cervical lordosis (CL) and T1 slope (T1S). Summary of Literature Review: Normative values of CS parameters, including physiological CL, and their relationship with TI parameters among healthy Indian adults have been scarcely documented in the literature. Methodology: We analyzed cervical radiographs of 171 healthy adult volunteers and estimated normative values of CS and TI parameters. The thoracic inlet angle (TIA), neck tilt (NT) and T1S were the TI parameters, while the cervical parameters included C2- C7 CL (Cobb’s method), the cervical sagittal vertical axis (cSVA), and C7 slope (C7S). T1S-CL was also calculated. The correlations were estimated and predictive equations were established using simple linear and stepwise multiple regression. The paired-sample t-test was used to evaluate the statistical significance of differences between the estimated and measured values. Results: The mean age of participants was 30±7.76 years. The mean TIA, T1S, NT, CL, cSVA, C7S, and T1S-CL were 79.6°±9.08°, 29.5°±8.6°, 49.3°±8.7°, 21.4°±16.5°,18.8±12.4 mm, 25.7°±7.9°, 8.7°±13.8° respectively. We established the following predictive equations: CL= 0.66 T1S+0.57 TIA - 0.68 SVA - 30.9 (r=0.72; R2 =0.53; p<0.01); CL=0.68 TIA - 30.4 (r=0.41, R2 =0.34; p=0.04) and T1S= 4.45+ 0.72 C7S (r=0.77; R2 =0.62; p<0.01). There was no statistically significant difference between the predicted and the measured values of CL (t=0.09, p=0.973) or T1S (t=0.14; p=0.84). Conclusions: This analysis of sagittal parameters in an asymptomatic adult population provides valuable reference points for the management of various cervical alignment disorders.
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Theoretical Investigations on Structure and Function of Human Homologue hABH4 of E.coli ALKB4
Shankaracharya, Shankaracharya,Das, Saibal,Prasad, Dinesh,Vidyarthi, Ambarish Sharan Korean Society for Bioinformatics 2010 Interdisciplinary Bio Central (IBC) Vol.2 No.3
Introduction: Recently identified human homologues of ALKB protein have shown the activity of DNA damaging drugs, used for cancer therapy. Bioinformatics study of hABH2 and hABH3 had led to the discovery of a novel DNA repair mechanism. Very little is known about structure and function of hABH4, one of the members of this superfamily. Therefore, in present study we are intended to predict its structure and function through various bioinformatics tools. Materials and Methods: Modeling was done with modeler 9v7 to predict the 3D structure of the hABH4 protein. This model was validated with the program Procheck using Ramachandran plot statistics and was submitted to PMDB with ID PM0076284. The 3d2GO server was used to predict the functions. Residues at protein ligand and protein RNA binding sites were predicted with 3dLigandSite and KYG programs respectively. Results and Discussion: 3-D model of hABH4, ALKBH4.B99990003.pdb was predicted and evaluated. Validation result showed that 96.4 % residues lies in favored and additional allowed region of Ramachandran plot. Ligand binding residues prediction showed four Ligand clusters, having 24 ligands in cluster 1. Importantly, conserved pattern of Glu196-X-Pro198- Xn-His254 in the functional domain was detected. DNA and RNA binding sites were also predicted in the model. Conclusion and Prospects: The predicted and validated model of human homologue hABH4 resulted from this study may unveil the mechanism of DNA damage repair in human and accelerate the research on designing of appropriate inhibitors aiding in chemotherapy and cancer related diseases.
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