AUTOMATED CRYSTALLIZATION SCREENING OF REDOX ACTIVE PROTEINS
氧化还原活性蛋白的自动结晶筛选
基本信息
- 批准号:8360537
- 负责人:
- 金额:$ 10.08万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-08-01 至 2012-08-31
- 项目状态:已结题
- 来源:
- 关键词:ArtsBiologicalBiologyCollaborationsCommunitiesCrystallizationDropsFundingGrantLiquid substanceNational Center for Research ResourcesOxidation-ReductionPersonsPrincipal InvestigatorProteinsRequest for ProposalsResearchResearch InfrastructureResourcesRobotSamplingScreening procedureSourceUnited States National Institutes of HealthUniversitiesWorkX ray diffraction analysisX-Ray Diffractioncostinstrumentnanolitre
项目摘要
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.
Advances in automated high throughput liquid handling have resulted in dramatically reduced sample requirement for macromolecular crystallization. Commercially available crystallization robots, such as the Gryphon produced by Art Robbins Inc, allow for nanoliter drop sizes and thus can screen for conditions that produce X-ray diffraction-quality crystals from as little as 1-2 mg of purified protein. Because the requirement for large amounts of sample is a major impediment to collaborative structural studies, reducing sample needs will expand the scope and quantity of collaborative structural work that can be pursued. This proposal requests funds to acquire the Gryphon crystallization robot. We propose that this acquisition will allow for greatly enhanced structural biological collaboration within the Redox Biology Center and the larger university community. Two RBC crystallographers, Drs. Joe Barycki and Mark Wilson, will be responsible for the instrument and for managing collaborations. Funds are also requested for a support person at the B.S. to M.S. level to maintain the instrument and to handle operational details of these collaborative efforts.
这个子项目是利用资源的许多研究子项目之一。
由NIH/NCRR资助的中心拨款提供。对子项目的主要支持
子项目的首席调查员可能是由其他来源提供的,
包括美国国立卫生研究院的其他来源。为子项目列出的总成本可能
表示该子项目使用的中心基础设施的估计数量,
不是由NCRR赠款提供给次级项目或次级项目工作人员的直接资金。
自动化高通量液体处理的进步大大减少了大分子结晶所需的样品。商业上可用的结晶机器人,如Art Robbins Inc.生产的鹰头狮,允许纳升液滴大小,因此可以筛选出从低至1-2毫克的纯化蛋白质中产生X射线衍射质量晶体的条件。由于对大量样本的要求是协作结构研究的主要障碍,减少样本需求将扩大可进行的协作结构工作的范围和数量。这项提案要求获得资金来收购鹰头狮结晶机器人。我们认为,此次收购将极大地加强氧化还原生物学中心和更大的大学社区内的结构生物学合作。两位RBC结晶学家Joe Barycki博士和Mark Wilson博士将负责仪器和管理合作。还需要一名本科至硕士级别的支助人员来维护该文书,并处理这些协作工作的业务细节。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
MARK A. WILSON其他文献
MARK A. WILSON的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('MARK A. WILSON', 18)}}的其他基金
Implantable Sensor for Transplant Tissue Monitoring
用于移植组织监测的植入式传感器
- 批准号:
7236516 - 财政年份:2007
- 资助金额:
$ 10.08万 - 项目类别:
Implantable Sensor for Transplant Tissue Monitoring
用于移植组织监测的植入式传感器
- 批准号:
7689300 - 财政年份:2007
- 资助金额:
$ 10.08万 - 项目类别:
Implantable Sensor for Transplant Tissue Monitoring
用于移植组织监测的植入式传感器
- 批准号:
7502655 - 财政年份:2007
- 资助金额:
$ 10.08万 - 项目类别:
Implantable Sensor for Transplant Tissue Monitoring
用于移植组织监测的植入式传感器
- 批准号:
8046344 - 财政年份:2007
- 资助金额:
$ 10.08万 - 项目类别:
相似海外基金
Elucidating the molecular basis and expanding the biological applications of the glycosyltransferases using biochemical and structural biology approaches
利用生化和结构生物学方法阐明糖基转移酶的分子基础并扩展其生物学应用
- 批准号:
23K14138 - 财政年份:2023
- 资助金额:
$ 10.08万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Upsampling of low-resolution/large-volume 3D tomographic images using generative adversarial neural networks applied to biological anthropology, medical imaging, and evolutionary biology
使用应用于生物人类学、医学成像和进化生物学的生成对抗神经网络对低分辨率/大容量 3D 断层扫描图像进行上采样
- 批准号:
571519-2021 - 财政年份:2022
- 资助金额:
$ 10.08万 - 项目类别:
Alliance Grants
The biology of Ciceribacter spp. and their adaptations as biological chassis for engineered nitrogen fixation
西塞里杆菌属的生物学。
- 批准号:
2735213 - 财政年份:2022
- 资助金额:
$ 10.08万 - 项目类别:
Studentship
NSF Postdoctoral Fellowship in Biology: Symbiosis as a Means of Survival for Biological Soil Crust Microbes
NSF 生物学博士后奖学金:共生作为生物土壤结皮微生物的生存手段
- 批准号:
2209217 - 财政年份:2022
- 资助金额:
$ 10.08万 - 项目类别:
Fellowship Award
Conference: 2023 Stochastic Physics in Biology: Bridging Stochastic Physical Theories with Biological Experiments
会议:2023 年生物学中的随机物理学:将随机物理理论与生物实验联系起来
- 批准号:
2242530 - 财政年份:2022
- 资助金额:
$ 10.08万 - 项目类别:
Standard Grant
From Big Biological Data to Tangible Insights: Designing tangible and multi-display interactions to support data analysis and model building in the biology domain
从生物大数据到有形洞察:设计有形和多显示交互以支持生物学领域的数据分析和模型构建
- 批准号:
RGPIN-2021-03987 - 财政年份:2022
- 资助金额:
$ 10.08万 - 项目类别:
Discovery Grants Program - Individual
Engineering of next-generation synthetic biology tools for biological applications
用于生物应用的下一代合成生物学工具的工程
- 批准号:
RGPIN-2019-07002 - 财政年份:2022
- 资助金额:
$ 10.08万 - 项目类别:
Discovery Grants Program - Individual
BEORHN: Biological Enzymatic Oxidation of Reactive Hydroxylamine in Nitrification via Combined Structural Biology and Molecular Simulation
BEORHN:通过结合结构生物学和分子模拟对硝化反应中的活性羟胺进行生物酶氧化
- 批准号:
BB/V01577X/1 - 财政年份:2022
- 资助金额:
$ 10.08万 - 项目类别:
Research Grant
NSF Postdoctoral Fellowship in Biology FY 2020: Integrating biological collections and observational data sources to estimate long-term butterfly population trends
2020 财年 NSF 生物学博士后奖学金:整合生物收藏和观测数据源来估计蝴蝶种群的长期趋势
- 批准号:
2010698 - 财政年份:2021
- 资助金额:
$ 10.08万 - 项目类别:
Fellowship Award
Engineering of next-generation synthetic biology tools for biological applications
用于生物应用的下一代合成生物学工具的工程
- 批准号:
RGPIN-2019-07002 - 财政年份:2021
- 资助金额:
$ 10.08万 - 项目类别:
Discovery Grants Program - Individual