Role of Computational Biology in Oral Science

Deepak T.A, Anulekha C.K, Suchindra Suchindra, Avinash Tejasvi, Ms. Mariyam Nadhira
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Abstract

DNA sequence Cigarette Smoking, Betel leaf chewing, and alcohol consumption are major cause of oral cancer in Asia. The difficulty in quitting, coupled with patients’ economic conditions affects the inability to get diagnosed early, driving death rate higher. There has been major advancement in molecular sciences, computational biology, and other fields today, but we are not still able to pinpoint the causes of oral cancer, also known as Squamous Cell Carcinoma (OSCC). Early detection leads to better survival rate, therefore, education on yearly check-ups plays a vital role. Computational analysis at the genomic (DNA sequence) can help patients with targeted cellular treatment and hopefully a cure. In this paper, we would look at computation tools used in detecting OSCC and various analysis. Analysis includes detecting abnormality in the cell and other molecular reactions which later morph into a cancerous cell. Later, we investigate all computational tools or techniques from local and global sequence alignment, protein structure, gene, functional structure analysis which help medical staff detect cancer, which in turn can help with oral cancer treatment, prognosis and hopefully a cure.
计算生物学在口腔科学中的作用
DNA 序列 吸烟、嚼槟榔叶和饮酒是亚洲人患口腔癌的主要原因。由于戒烟困难,再加上患者的经济条件,导致他们无法得到早期诊断,从而导致死亡率上升。如今,分子科学、计算生物学和其他领域都有了长足的进步,但我们仍无法确定口腔癌(又称鳞状细胞癌,OSCC)的病因。早期发现可提高生存率,因此,每年进行体检的教育起着至关重要的作用。基因组(DNA 序列)计算分析可以帮助患者进行有针对性的细胞治疗,并有望治愈。本文将介绍用于检测 OSCC 的计算工具和各种分析。分析包括检测细胞中的异常及其他分子反应,这些反应随后会转变为癌细胞。随后,我们将研究所有计算工具或技术,包括局部和全局序列比对、蛋白质结构、基因、功能结构分析,这些工具或技术可帮助医务人员检测癌症,进而帮助口腔癌的治疗、预后和治愈。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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