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protein information resource ppt
Postado em 19 de dezembro, 2020
Michael Prado. 1K; 4.8; Human Resource Information System - Emerging Horizons in Human Resource Management. Resource ® Complete Produkt anzeigen. Powered by Atlassian Confluence 7.3.2; Printed by Atlassian Confluence 7.3.2; Report a bug; Atlassian News The Protein Information Resource (PIR) has been providing the scientific community with annotated protein databases and analysis tools for over three decades. Whey Protein Ingredients Market to be $8.93Billion by 2021; driven by 40% share held by whey protein concentrates - Known for high protein quantities as compared to soy, egg and other milk based proteins, why protein ingredients continue to serve multiple purposes for the consumers. Protein also provides energy; 1 gram provides 17 kJ (4 kcal). UniParc. PIRNR Curation Pipeline • Start with PIRSF curated to Full level • Define match criteria for application of the rule • Review protein name, synonyms, EC numbers, GO terms • Find those that are appropriate to propagate to members that match rule criteria After review of propagable information, send match conditions, exclusion conditions, and propagated fields to EBI for inclusion into automatic annotation pipeline. Journal of Bacteriology 1991 Leong Morgenthaler 1951.Full. Get powerful tools for managing your contents. 329; 4.9; Lecture 9 - Patient Safety in Resource-Poor Settings - Health Information System . as we have, Protein - . Biotechnology; Molecular Biology; Biochemistry; Genetics; Ecology; Botany; More… PPT. This is a Powerpoint for Cells Division which is found in Topic 1: Cell Biology of GCSE Biology and Double Science. from nucleic acid language to amino acid language. Uploaded by. The small 11 amino acid HiBiT peptide uses a streamlined, antibody-free protocol for detecting tagged proteins that requires only a luminometer for detection. Ayanna Cobb. You can change your ad preferences anytime. A powerpoint which breaks down the 5 main food groups and their functions. Medicinal Plants Genomics Resource (MPGR) is an NIH funded project that provides transcript assembly sequences and annotation for those sequences from fourteen plants that are known or believed to contain natural compounds that are of interest to medical researchers. Systems used to automatically annotate proteins with high accuracy: UniRule (Expertly curated rules) כלים אינטגרטיביים לאיתור. ProteinProtein structure is determined by the number and order ofamino acids 4. Biochemistry PPT on Protein Molecular Structure and Conformation: Primary, Secondary, Tertiary and Quaternary Structure of Protein with Short Notes and Examples. Biological importance of proteins • 105Kunique citations (PMID) are in UniProtKB/Swiss-Prot • Batch processing by RLIMS-P yielded 4690abstracts with phosphorylation information, 913 of them with site information, including 214in UniProtKB entries with no annotated phosphorylation features. Resource ® Instant Guten Morgen Brei Produkt anzeigen. Gabz Gabby. Top Resources on Hemotology & Blood Health; Advocacy Advocacy Toolkit; Patient Notification System ; Patient Organizations; Access to Care; Patient Information Resources; Learn more about the need for plasma donors, plasma donation, and how you can save and improve lives. InterPro provides functional analysis of proteins by classifying them into families and predicting domains and important sites. In protein research, the term can apply to either the object of study or the laboratory techniques required to manufacture proteins. Oversight and Scientific Advisory Board Meeting November 14, 2005 Georgetown University Medical Center. Uploaded by. Der Grund: Tierische Proteine sind dem körpereigenen Eiweiß von der Zusammensetzung her ähnlicher als pflanzliche. Winner of the Standing Ovation Award for “Best PowerPoint Templates” from Presentations Magazine. The Protein Information Resource (PIR) is an integrated public resource of protein informatics that supports genomic and proteomic research and scientific discovery. Protein Konzentrat enthält etwa 60 bis 80 Prozent Protein. PIR/UniProt OverviewProject Overview, Organization. The homologous superfamily (H) level of the CATH hierarchical classification groups domains that are related by evolution ( find out more about the classification process ). Ø Some proteins will have all the 4 levels of structures (up to quaternary structure). january 24, 2002. purpose. all living organisms have the same, Sequence Based Analysis Tutorial - . The Protein Information Resource (PIR) is an integrated public resource of protein informatics that supports genomic and proteomic research and scientific discovery. )M http://www.uniprot.org NHGRI, UniProt Archive (UniParc) Comprehensive sequence archive with sequence history Produced at EBI UniProt Reference Clusters (UniRef) Non-redundant reference clusters for sequence search Produced at PIR UniProt Knowledgebase (UniProtKB) Integration of PIR-PSD, Swiss-Prot and TrEMBL databases Stable, comprehensive, fully classified, richly and accurately annotated knowledgebase UniProtKB/Swiss-Prot: Produced at SIB UniProtKB/TrEMBL: Produced at EBI Literature-based and automated annotation at SIB, PIR, EBI UniProt Databases, UniProt Management Structure • Scientific Advisory Panel (SAP) to be established by NHGRI, UniProt Project Coordination • UniProt email discussion groups • Project Liaisons and Ad hoc teams • Tri-weekly teleconference calls • Tri-annual face-to-face Consortium meetings • January 12-13, 2006 at Geneva • April 10-11, 2006 at Georgetown University • Exchange visits of scientific and technical staff • Five PIR staff at SIB (1-2 weeks, Nov 05) for annotation integration • Retreats France, 2004, UniProt Activities at PIR • Integration of PIR-PSD into UniProtKB Swiss-Prot/TrEMBL • Incorporation of unique PIR entries • Incorporation of PIR annotations: references, experimental features with literature evidence tag • Functional annotation of UniProtKB proteins • Development of PIRSF family classification system & PIRSF curation => Comprehensive coverage of all UniProtKB proteins • Development of rule-based annotation system & PIRNR (name rule) /PIRSR (site rule) curation => Rule curation and integration into Swiss-Prot/TrEMBL annotation pipelines & propagation of annotations (e.g., name, GO, site) • Production of UniRef100/90/50 databases =>Enhancement & scaling • Creation of UniProt web site and help system => Unified UniProt web site & user community interaction, PIRSF Classification System Protein Classification and Functional Annotation • PIRSF: Evolutionary relationships of proteins from super- to sub-families • Curated families with name rules and site rules • Curation platform with classification/visualization tools • Deliverables: UniProtKB annotations, InterPro families, PIRSF reports, PIRSF curation platform PIRSF Work Group Meeting, April 2003, iProClass Integrated Protein Database Data Integration and Protein Mapping • Data integration from >90 databases • Underlying data warehouse for protein ID/name/bibliography mapping • Integration of protein family, function, structure for functional annotation • Rich link (link + summary) for value-added reports of UniProt proteins Funded by NSF, iProLINK Literature Mining Resource • Bibliography report: Annotated bibliography for UniProtKB proteins • BioThesaurus reports: Protein and gene names for UniProtKB proteins • RLIMS-P program: Tag PubMed abstracts for phosphorylation objects • Protein ontology DAG: PIRSF-based ontology Funded by NSF, NIAID Proteomic Admin Center • NIAID Proteomic Master Catalog & Complete Proteomes • iProXpress for Protein Function and Pathway Analysis • Gene/Peptide-Protein Mapping • Sequence Analysis & Data Mining • Function/ Pathway Discovery http://pir.georgetown.edu/ proteomics/ Funded by NIAID, Bioinformatics Infrastructure • NCI caBIG: PIR grid-enablement (Programming access to UniProtKB) • NSF TeraGrid: All-against-all BLAST (UniProtKB related sequences) • PIR Bioinformatics Framework • Software Framework: J2EE n-Tier Architecture with Object Models • Database Distribution: XML, FASTA, Relational (Oracle 9i, MySQL) • Other Deliverables: Object Models, Web Services Funded by NCI, Computing Environment • Computers: Two Sun V880, IBM P690, 100-CPU Linux Cluster, Compaq 4100 Alpha • Networking: Internet2, GU Network (1Gbps) • GU UIS Advanced Research Computing, PIR Environment • Funding: ~$3Million Annual Total (2/3 UniProt, 1/3 Other) • Home Institution: Georgetown University Medical Center (GUMC) • Subcontract: National Biomedical Research Foundation (NBRF) • New Location: Off-Campus (GU North Campus), 6250 SQFT Suite 1200, 3300 Whitehaven Street NW, Washington, DC 20007, PIR Organization • 25 Staff Members • 14 GU, 11 NBRF • 22 FTEs • 12.7 GU, 9.3 NBRF • 17 with Doctorate Degree • 11 GU Faculty • 2 Professors • 1 Research Associate Professor • 6 Research Assistant Professors • 2 Research Instructors, PIR Community Interactions(since 2004) • Presentations and Invited Seminars • NIH Proteomics Workshop (Bi-Annual) – Bioinformatics Day • Conference Demos/Posters: ISMB-05, US HUPO-05, SOFG04 • Over 20 Invited Presentations: Keystone, Human Brain Project Satellite Symposium, PDB Symposium, HUPO-05 • Policy Forums, Committees: NSF Plant Cyberinfrastructure, NIH Protein Structure Initiative, HUPO Proteomics Standards Initiative • Publications: Over 25 Refereed Papers and Book Chapters • Collaborations and Interactions • Collaborated and interacted with over 10 research institutions • Hosted face-to-face meetings for NIAID/caBIG projects • Paper and Grant Reviews • Reviewed over 20 papers for referred journals and conferences • Served on NSF/NIH grant review panels, PIR-Georgetown Interactions • Teaching • Courses: Bioinformatics (BCHB 521), Advanced Bioinformatics (BCHB 621) • Lectures: Medical Biochemistry, Protein Biomarker, Introductory Biology • Mentoring • Mentored 9 graduate students (PhD students, MS Internship projects) • Intercampus Seminars • Proposal Submission by PIR Young Investigators as PI • Six proposals to federal and other agencies. 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