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Data and Dissemination Core 1. Overview and EFI Website – Heidi Imker, UIUC 2. EFI LabDB LIMS – Wladek Minor, UVA 3. SFLD – Patsy Babbitt, UCSF (post lunch) Enzyme Function Initiative (EFI) Advisory Committee Meeting November 30, 2011
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The EFI’s goal is to develop and disseminate an integrated sequence/structure ‑ based strategy that incorporates a spectrum of essential expertise, including high ‑ throughput bioinformatics, computation and structural biology that will enable focused experimental enzymology, genetics, and metabolomics. Superfamily/Genome Core - complete curated sequence archive for EFI superfamilies - “tools” for sequence analysis (including sequence/structure similarity networks) - portal for external bioinformatic data (including genomic contexts) Computational Core - computational models - computational docking - virtual screening libraries SFLD Protein Core - cloning, expression and purification Structure Core - screening and crystallization - ligand binding (Thermofluor) Microbiology Core - phenotypic analysis (Biolog) - metabolomics (MS based) Bridging Projects - assay data (5 distinct superfamilies) Structure/Function Context for EFI Targets using the Structure-Function Linkage Database Experimental Data Management using the Laboratory Information Management System (LIMS) LabDB EFI Data and Dissemination
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EFI Dissemination Flow General Information and Data Portal EFI Website TargetDB PepCDB PDB Data Deposition Annotation Transfer Experimental Structure/Function Context SFLD LabDB EFI Experiment DB Protein Core PSI-MR cross-linking
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EFI Website - Initial
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EFI Website - Revamped
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EFI Website as a Reference New layout Rotating content Figures from recent publications Images from recent structures Frequently used external link access UIUC Web Developer Gabriel Horton
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EFI Website as a Data Portal Streamlined Navigation 1-Click Access HOMOLOGUE SEARCH RESOURCES
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EFI Website as a Data Portal
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Tutorials EFI-QuickHelps Find a specific target in the experimental database (EFI-DB) Find a specific enzyme in the bioinformatic database (SFLD Change memory for large networks (Cytoscape) Searching in networks (Cytoscape) View network at more stringent E-values (Cytoscape) Add node attribute file to network (Cytoscape) Full Guides and Tutorials EFI-DB Guide SFLD Guide Cytoscape Wiki Cytoscape Tutorial Chimera Tutorial
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EFI Website Stats
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Outreach Current Journal Publications (13) Collaborations (2 proposed) Talks/Seminars (4+) Posters (1 st EFI Session today) Meeting Workshops (ASBMB 2013) EFI Wikipedia Page Planned (Public) Newsletters Mini-Papers Instructional Webinars/Videos Intensive Workshops
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Data and Dissemination Core 1. Overview and EFI Website – Heidi Imker, UIUC 2. EFI LabDB LIMS – Wladek Minor, UVA 3. SFLD – Patsy Babbitt, UCSF (post lunch) Enzyme Function Initiative (EFI) Advisory Committee Meeting November 30, 2011
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EFI-DB LabDB Private (EFI) Public (Biologist) TargetDB/PepCDB TargetTrack PDB Every 60 minutes Real-time Once weekly Real-time Experimental Data Management Architecture
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10 Oct 2011Charlottesville, VA The LabDB LIMS Tracks all experiments in the pipeline from cloning to structure solution –Chemicals / stock solutions –Protein production: cloning / expression / purification –Crystallization / crystal harvesting –X-ray diffraction experiments / structures Access control –Login required to view data –Users divided into research groups –Different users/groups have varying permissions to access data Designed to extract as much information directly from the laboratory hardware as possible
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chemicals, solutions clones, expressions, purifications crystallization diffraction, structures Equipment Interfaces Xtaldb LabDB database HKL-3000 LabDB mobile LabDB web LabDB: automated/semi-automated import from hardware (Private)
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LabDB: the private interface to the LIMS
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LabDB: shipment
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LabDB: export as Comma Separated Values CSV
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LabDB: Kinetic assays
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EFI-DB: Public
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EFI-DB: Target
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EFI-DB: Status of the Target
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Fluorescence Temperature [C] Experimental design and plate preparation + SYPRO Orange + protein Experiment Data analysis EFI-DB: Automatic data harvesting
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Plate design and set-up (Mosquito)
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Many drops
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Many drops + control
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How to measure success? High Throughput ? High Output ? High Impact SG - 10% structures are published EFI is an investment for enabling the biological community to accomplish functional assignments in their “favorite” families and superfamilies.
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Deposition -> Publication (SG)
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Electronic Structure Description (minipaper)
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EFI-DB: mini-paper
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