CENTER FOR COMPUTATIONAL MASS-SPECTROMETRY

计算质谱中心

• 批准号: 8362973
• 负责人: Pavel A Pevzner
• 金额: $ 105.24万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-07-01 至 2012-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8362973
• 关键词: Address; Affect; Antibiotics; Antibodies; Area; Bacteria; Biological Markers; Biotechnology; Blood Clot; Blood coagulation; Cataract; Chimeric Proteins; Collaborations; Communities; Complex; Computer software; Data; Development; Education; Educational Activities; Funding; Generations; Germany; Goals; Grant; Institutes; Institution; International; Malignant Neoplasms; Mass Spectrum Analysis; Mutation; National Center for Research Resources; Pathway interactions; Pharmaceutical Preparations; Post-Translational Protein Processing; Postdoctoral Fellow; Principal Investigator; Protein Databases; Proteome; Proteomics; Research; Research Activity; Research Infrastructure; Research Personnel; Resources; Scientist; Singapore; Snake Venoms; Software Tools; Source; Spain; Students; Sweden; Technology; United Kingdom; United States National Institutes of Health; University Hospitals; aged; computerized tools; cost; design; influenza virus vaccine; instrumentation; programs; symposium

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. DESCRIPTION (provided by applicant): This application seeks support for a center of excellence in computational mass spectrometry and a national and international resource in the broad area of proteomics. It proposes to enlarge the current research activities, to branch into previously unexplored areas of computational proteomics, and to support multiple collaborative efforts. The proposal addresses the computational bottleneck that affects the entire proteomics community and impairs interpretation of data in thousands of experimental labs around the world. The goal is to bring the modern algorithmic technologies to mass-spectrometry and to build a new generation of reliable open access software tools to support both new development in mass-spectrometry instrumentation and the emerging applications of mass-spectrometry. The proposal focuses on four directions: (i) enabling complex mass spectrometry searches, (ii) analyzing unknown proteomes without protein databases, (iii) analyzing altered proteomes, and (iv) constructing proteogenomic annotations and analyzing pathways. These directions cover both well-studied but still inadequately addressed problems (like search for mutations and post-translational modifications) and unexplored problems for which there are no computational tools currently available (like antibody sequencing or analyzing fusion proteins in cancer). These projects require two-way collaborative efforts on a wide range of topics involving biomedical and computational scientists from various institutions. While many collaborations have been already established at San Diego (UCSD and Burnham Institute), sixteen other US universities, hospitals and biotechnology companies, as well as foreign research institutions at Germany, Singapore, Spain, Sweden, and United Kingdom, we propose to further extend these collaborations by developing robust open access mass spectrometry software that will catalyze the exchanges between experimental and computational researchers in proteomics. The biomedical applications addressed in these collaborative projects include but are not limited to (i) discovery of cancer biomarkers, (ii) elucidation of changes in aged cataractous lens, (iii) understanding how bacteria adjust to antibiotics and other harsh conditions, (iv) addressing the need to constantly reformulate the influenza vaccine to make it efficient, and (v) sequencing of snake venoms that proved instrumental in design of blood clotting drugs. Educational activities in the area of computational proteomics will also be developed, including short courses, a seminar program, an annual conference, and concerted education of students and postdocs.

这个子项目是利用这些资源的众多研究子项目之一