MOLECULAR STRUCTURE OF ANIMAL VIRUSES AND CELLS BY COMPUTATIONAL ANALYSIS

通过计算分析动物病毒和细胞的分子结构

• 批准号: 3752037
• 负责人: J V MAIZEL
• 金额: --
• 依托单位: DIVISION OF CANCER BIOLOGY AND DIAGNOSIS
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/3752037
• 关键词: Adenoviridae; Picornaviridae; RNA splicing; cell transformation; computer assisted sequence analysis; computer graphics /printing; computer simulation; electron microscopy; genetic promoter element; genetic recombination; human immunodeficiency virus; molecular biology; nucleic acid sequence; nucleic acid structure; parallel processing; protein sequence; protein structure function; supercomputer; virus DNA; virus RNA; virus diseases; virus genetics; virus protein

Complex macromolecular processes and the structural organization of normal, infected and transformed cells are modeled using viral systems. Computers are used to study nucleic acid and protein sequences that embody the information of living systems. Computer analyses of proteins and nucleic acids are developed and implemented in conjunction with techniques of biochemistry, virology, and electron microscopy on sequences of picornaviruses, adenoviruses, and human immunodeficiency viruses. Graphic representations revealing homology, and reverse complementarity are coupled with numerical methods to aid the prediction of secondary structure, splicing, promoters, and recombination in nucleic acid molecules. Computer programs are developed locally and elsewhere for application on vector and massively parallel supercomputers, minicomputers and graphic workstations to perform sequence analysis and structure predictions. Methods to assess the significance of predictions use Monte Carlo simulations, evolutionary comparisons and biochemical data. Roles for genes and proteins are deduced by comparison with databases of sequences of known function and structure.

复杂的大分子过程和结构组织 正常、感染和转化的细胞是使用病毒系统建模的。 计算机被用来研究核酸和蛋白质序列 生命系统的信息。 发展了蛋白质和核酸的计算机分析，并 与生物化学、病毒学和 微小核糖核酸病毒、腺病毒和 人类免疫缺陷病毒。图形表示法揭示 同源和反向互补与数值方法相结合。 为了帮助预测二级结构、剪接、启动子和 核酸分子中的重组。开发了计算机程序 适用于向量和大规模并行的局部和其他地方 超级计算机、小型机和图形工作站执行序列 分析和结构预测。方法评估的意义， 预测使用蒙特卡罗模拟、进化比较和 生化数据。基因和蛋白质的作用是通过比较推断出来的 具有已知功能和结构的序列数据库。