Computational Biology and Genetics Of Malaria Parasites

疟疾寄生虫的计算生物学和遗传学

• 批准号: 6681329
• 负责人: JOHN C. WOOTTON
• 金额: --
• 依托单位: NATIONAL LIBRARY OF MEDICINE
• 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/6681329
• 关键词: Archaea; DNA binding protein; Escherichia coli; bacterial DNA; bacterial proteins; biochemical evolution; computer assisted sequence analysis; computer data analysis; computer system design /evaluation; microorganism metabolism; photosynthetic bacteria; protein sequence; protein structure function; Archaea; DNA binding protein; Escherichia coli; bacterial DNA; bacterial proteins; biochemical evolution; computer assisted sequence analysis; computer data analysis; computer system design /evaluation; microorganism metabolism; photosynthetic bacteria; protein sequence; protein structure function

The principal organism studied is the human malaria parasite, Plasmodium falciparum, with emphasis on genome-wide approaches to its genetics and molecular and biological phenotypes. Computer analyses, including application of several new algorithms, have been carried out, in close collaboration with experimental laboratories, in response to questions arising about the structures, functions, interactions and genetics of the proteins of interest, and genetic diversity and evolution in parasite populations. These analyses include comparative approaches with other extensively sequenced parasites, pathogens and eukaryotic genomes. Several Plasmodium species show extreme bias in the residue compositions of both genes and proteins. These compositional properties, together with questions about the roles of low-complexity, repeat, nonglobular and conformationally mobile parts of proteins, are relevant to aspects of the pathogenicity of these organisms and their interactions with the mammalian hosts. Applications include vaccine design, and understanding the evasion of host immune responses, immunomodulation, and the evolution of drug resistance.

所研究的主要生物是人类疟疾寄生虫，恶性疟原虫，重点是全基因组的遗传学方法以及分子和生物学表型。计算机分析，包括几种新算法的应用，与实验实验室密切合作，以回应有关感兴趣蛋白质的结构，功能，相互作用和遗传学以及寄生虫种群中遗传多样性和进化的问题。这些分析包括与其他广泛测序的寄生虫，病原体和真核基因组的比较方法。几种疟原虫在基因和蛋白质的残基组成中都显示出极端偏见。这些成分特性以及有关蛋白质的低复杂性，重复，非叶片和构象移动部分的作用的问题与这些生物体的致病性及其与哺乳动物宿主的相互作用有关。应用包括疫苗设计，以及了解避免宿主免疫反应的逃避，免疫调节以及耐药性的进化。