Resource for Macromolecular Modeling and Visualization
高分子建模和可视化资源
基本信息
- 批准号:10431033
- 负责人:
- 金额:$ 120.73万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-09-28 至 2027-07-31
- 项目状态:未结题
- 来源:
- 关键词:AlgorithmsAreaAutomationBioinformaticsBiologicalBiomedical ResearchBiomedical TechnologyCOVID-19Case StudyCell modelCellsCloud ComputingCodeCollectionCommunitiesComputational algorithmComputer ModelsComputer softwareConsumptionCryoelectron MicroscopyCustomData CollectionDocumentationEducational workshopEmerging TechnologiesEnsureFree EnergyFundingGenomeGoalsIllinoisImageIndividualIndustryInstitutionInternetKnowledgeLigandsMainstreamingMedicineMembrane ProteinsMethodsMissionModelingModernizationMolecularMonitorMonoclonal Antibody R24National Center for Research ResourcesNational Institute of General Medical SciencesPerformancePositioning AttributePrizeProceduresProtein DynamicsReproducibilityResearchResearch PersonnelResourcesRunningSamplingScienceScientistServicesSoftware ToolsStructural BiologistSupercomputingSurveysSystemTechniquesTechnologyTimeTrainingTraining ActivityTraining ProgramsTraining SupportUnited States National Institutes of HealthUpdateVendorVisitVisualizationWorkbasebiomedical scientistcomputational platformcomputerized toolscostcyber securitydata qualityempoweredexperienceinteroperabilitylaptoplarge datasetsmodels and simulationmolecular modelingonline tutorialoperationoutreachprogramsscreeningsimulationsoftware developmentstructural biologysupercomputertooluser friendly softwareweb serverweb site
项目摘要
SUMMARY
The main mission of the P41 Biomedical Technology Research Resource for Macromolecular Modeling and
Bioinformatics (P41-GM104601) over the last three decades has been developing state of the art computational
technologies for biomolecular and cell simulations and visualization, implementing them in efficient, economical,
user-friendly software solutions, and disseminating them to the biomedical community at no cost. The Resource
has enabled high-quality, rigorous research for the biomedical scientists who need to integrate molecular and
cell modeling, simulation, and visualization in their research, not only at diverse academic institutions, but also
in industry. The flagship software programs, VMD and NAMD and their auxiliary plugins, are used currently
by more than 125,000 users and have received a staggering number of 57,000 citations (19,711 in 2018-2021
alone), reflecting the massive use of the technologies and programs developed by the Resource, and its sub-
stantial economies of scale. The Resource's partnership with the biomedical community resulted in the 2020
ACM Gordon Bell Special Prize for COVID-19 Research. Under the R24 mode of operation, a major goal of
the Resource will be to ensure that its software solutions remain current and available to its large user base on
existing and upcoming hardware platforms commonly used at local and institutional levels, and at national super-
computing centers, where a large fraction of the overall time is consumed by biomedical researchers using the
Resource's programs. Given the key position of these programs, several major supercomputing centers as well
as major hardware vendors have established strong relationships with the Resource, even directly supporting
software development and optimization. In addition, the Resource will ensure the utility of its programs by includ-
ing algorithmic changes/updates that are critical to applicability of the codes and/or demanded by the community.
The Resource will also sustain and expand its comprehensive user training program, empowered by an already
existing, large collection of online tutorials, case studies, and hands-on workshops. Another major activity of the
Resource will be to continue to support its users in the proper and efficient application of the software programs
through customer support services and expanding and upgrading the documentation for the programs. The R24
Resource for Macromolecular Modeling and Visualization will be evaluated on a continuous basis by monitoring
quantitative metrics such as the number of its active users (users of multiple versions of software) and citations,
by conducting regular user surveys requesting input from the user community which will also assist in identifying
most critical features and improvements, and by the technical input from the external advisory board.
总结
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)
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Emad Tajkhorshid其他文献
Emad Tajkhorshid的其他文献
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{{ truncateString('Emad Tajkhorshid', 18)}}的其他基金
Administrative Supplement: Resource for Macromolecular Modeling and Visualization
行政补充:大分子建模和可视化资源
- 批准号:
10799338 - 财政年份:2022
- 资助金额:
$ 120.73万 - 项目类别:
Resource for Macromolecular Modeling and Visualization
高分子建模和可视化资源
- 批准号:
10710372 - 财政年份:2022
- 资助金额:
$ 120.73万 - 项目类别:
CAPTURING LARGE-SCALE STRUCTURAL TRANSITIONS IN MEMBRANE TRANSPORTERS AT ATOMIC
捕获原子膜转运蛋白的大规模结构转变
- 批准号:
8364328 - 财政年份:2011
- 资助金额:
$ 120.73万 - 项目类别:
LARGE SCALE SIMULATION OF MEMBRANE CHANNELS AND TRANSPORTERS
膜通道和转运体的大规模模拟
- 批准号:
8171891 - 财政年份:2010
- 资助金额:
$ 120.73万 - 项目类别:
Molecular Mechanisms of Active Transport Across Cellular Membranes
跨细胞膜主动运输的分子机制
- 批准号:
8119138 - 财政年份:2009
- 资助金额:
$ 120.73万 - 项目类别:
LARGE SCALE SIMULATION OF MEMBRANE CHANNELS AND TRANSPORTERS
膜通道和转运体的大规模模拟
- 批准号:
7956352 - 财政年份:2009
- 资助金额:
$ 120.73万 - 项目类别:
Molecular Mechanisms of Active Transport Across Cellular Membranes
跨细胞膜主动运输的分子机制
- 批准号:
8310172 - 财政年份:2009
- 资助金额:
$ 120.73万 - 项目类别:
Molecular Mechanisms of Active Transport Across Cellular Membranes
跨细胞膜主动运输的分子机制
- 批准号:
8520326 - 财政年份:2009
- 资助金额:
$ 120.73万 - 项目类别:
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