Computational Aspects of the Protein Target Selection, Protein Production Management and Structure Analysis Pipeline.

Slides:



Advertisements
Similar presentations
Using Large-Scale Web Data to Facilitate Textual Query Based Retrieval of Consumer Photos.
Advertisements

Business logic for annotation workflow Tom Oldfield July 21, 2010.
PiMS overview: version 0.3 & beyond Robert Esnouf, PiMS Project Sponsor, Oxford.
Update on PDB Data Deposition Specifications
Computational Biology: A Measurement Perspective Alden Dima Information Technology Laboratory
Structural Genomics – an example of transdisciplinary research at Stanford Goal of structural and functional genomics is to determine and analyze all possible.
2004 PP&CW Optimization of protein expression and solubility Alternative and novel prokaryotic expression systems Eukaryotic expression systems Methods.
Copyright © 2006 Software Quality Research Laboratory DANSE Software Quality Assurance Tom Swain Software Quality Research Laboratory University of Tennessee.
Genome Annotation BCB 660 October 20, From Carson Holt.
Molecular Library and Imaging Francis Collins, NHGRI Tom Insel, NIMH Rod Pettigrew, NIBIB Building Blocks and Pathways Francis Collins,NHGRI Richard Hodes,
Introduction to Computer Technology
PIMS: The Problems of Project Management Robert Esnouf, Scientific Sponsor for PIMS OPPF/STRUBI, University of Oxford strubi.ox.ac.uk.
23 May June May 2002 From genes to drugs via crystallography 19 May 1996 Experimental and computational approaches to structure based.
GTL Facilities Computing Infrastructure for 21 st Century Systems Biology Ed Uberbacher ORNL & Mike Colvin LLNL.
High-Throughput Crystallography at Monash Noel Faux Dept of Biochemistry and Molecular Biology Monash University.
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)
EBI is an Outstation of the European Molecular Biology Laboratory. Annotation Procedures for Structural Data Deposited in the PDBe at EBI.
Computing Missing Loops in Automatically Resolved X-Ray Structures Itay Lotan Henry van den Bedem (SSRL)
Quality views: capturing and exploiting the user perspective on data quality Paolo Missier, Suzanne Embury, Mark Greenwood School of Computer Science University.
17 th October 2005CCP4 Database Meeting (York) CCP4(i)/BIOXHIT Database Project: Scope, Aims, Plans, Status and all that jazz Peter Briggs, Wanjuan Yang.
Philip E. Bourne Professional Development Lecture 7 Understanding and Working the Publishing Process.
Data Integration and Management A PDB Perspective.
Project Database Handler The Project Database Handler dbCCP4i is a brokering application that mediates interactions between the project database and an.
Protein Data Bank: An Introduction Learning to Use the RCSB PDB Portal.
Developed by Reneta Barneva, SUNY Fredonia The Process.
Project Database Handler The Project Database Handler is a brokering application that mediates interactions between the project database and the external.
1 Limitations of BLAST Can only search for a single query (e.g. find all genes similar to TTGGACAGGATCGA) What about more complex queries? “Find all genes.
17 th October 2005CCP4 Database Meeting York University Database Requirements for CCP4 Projects Monday 17 th October 2005 Abstract Gather information on.
Project Database Handler The Project Database Handler is a brokering application, which will mediate interactions between the project database and other.
Protein Structure Database for Structural Genomics Group Jessica Lau December 13, 2004 M.S. Thesis Defense.
Worldwide Protein Data Bank Common D&A Project Sequence Processing Modular Demo May 6, 2010 Project Deliverable.
Worldwide Protein Data Bank wwPDB Common D&A Project Full Project Team Meeting Rutgers March 16-19, 2010.
Testing and Evaluating Software Solutions Introduction.
SG KB 2009 NIGMS Workshop: Enabling Technologies for Structural Biology Section on Structural Analysis Helen M. Berman March 4, 2009 How to use the PSI.
Local ICTS Mirror of UCSC Genome Browser Local ICTS Mirror of UCSC Genome Browser Lucas Van Tol: Gi-yung Ryu:
Bringing structural biology services through collaboration.
Project Database Handler The Project Database Handler is a brokering application which will mediate interactions between the project database and other.
The Neural Engineering Data Consortium Mission: To focus the research community on a progression of research questions and to generate massive data sets.
BIOXHIT Proposals…. 21/11/2002. Martyn’s Original Summary “1. Crystallisation. Low-cost LIMS ("Mole") being developed. Biologists in SBL.
Marketing-to-Opportunity Scenario Overview
Background of the Workshop Managing Information for Results
Platform Overview Provide your marketing and sales groups with a single, integrated, web based on-demand platform that allows them to easily automate and.
Building a community for genome and proteome annotation
Topic for Presentaion-2
CCP4 6.1 and beyond: Tools for Macromolecular Crystallography
CAPE Internal Assessment
Database Requirements for CCP4 17th October 2005
Marketing-to-Opportunity Scenario Overview
Experimental Definition in SynchWeb for XPDF
CMMI – Staged Representation
Engineering Processes
Tools of Software Development
e-data Implementation Impact
Project tracking system for the structure solution software pipeline
MINGGU KE 9: PROSES DESAIN PRODUK BARU
Marketing-to-Opportunity Scenario Overview
Software Engineering Lecture #14.
Community of Practice (CoP)
Analysis models and design models
Marketing-to-Opportunity Scenario Overview
EDIT User Group - services
TargetDB and PEPCDB •
Robust and automated crystal screening
Overview of Workflows: Why Use Them?
Refinement quantity and quality
Unit 4. Day 6..
©Ian Sommerville 2004Software Engineering, 7th edition. Chapter 8 Slide 1 Tools of Software Development l 2 types of tools used by software engineers:
Test Tools Tools can be useful but are they worth it? Cost
Two Powerful Systems, One Solution Integrating your LIMS and QMS
UML Design for an Automated Registration System
Presentation transcript:

Computational Aspects of the Protein Target Selection, Protein Production Management and Structure Analysis Pipeline

Structural genomics has established a pipeline for producing Protein structures

Target Selection Semi-automated Structure determination Automated HT Imaging Structure Validation & Deposition Automated HT Crystal Screening + Data Collection Semi-Auto Publication Automated HT Crystallization Automated HT Purification Parallel HT Expression JCSG DB  Integration of custom and commercial instrumentation a HT pipeline.  Data tracking parallels the pipeline collecting 424 parameters from 28 stages.  Graphical interfaces to the experimental stages.  Feedback to the experimental pipeline and Integrated LIMS.

Cell-based and cell-free protein production Pipeline

Crystal Management Crystal Mounting Crystal Alignment Crystal Description Data Collection Structure Determination ? ASAPASAP Data Collection Pipeline

PDB refinement validation annotation publication phasingtracing SDC software development XpleoXsolve Automatically fill in gaps in initial model to provide most complete model for refinement Optimize quality of initial phasing Using parallel processing Refinement management JCSG refinement guidelines Centralized refinement staff Uniform standards and quality criteria Refinement and QC list Six dedicated scientists Peer review/quality control Peer-peer training Close communication Process ensures high quality “deposition ready” structures are output SSTS database Captures all data and information needed for deposition and mmCIF generation Tracks progress of each target Identifies problems and bottlenecks JCSG structure determination CNSS Build consensus model by combining models all initial models

Structure Pipeline Genomic Based Target Selection Crystallomics Data Collection Structure Determination Isolation, Expression, Purification,Crystallization PDB Deposition & Release Functional Annotation Publication

Genomic Based Target Selection Crystallomics Data Collection Structure Determination Isolation, Expression, Purification,Crystallization PDB Deposition & Release Functional Annotation Publication Day 1: Target to Domain selection Structure Pipeline

Genomic Based Target Selection Crystallomics Data Collection Structure Determination Isolation, Expression, Purification,Crystallization PDB Deposition & Release Functional Annotation Publication Day 2: Introduction to PiMS Information management System and use of xtalPiMS and Xtrack MANAGEMENT of Data and EXPERIMENTS Structure Pipeline

Genomic Based Target Selection Crystallomics Data Collection Structure Determination Isolation, Expression, Purification,Crystallization PDB Deposition & Release Functional Annotation Publication Day 3: Ligands Validation of Ligands Structure Pipeline

Genomic Based Target Selection Crystallomics Data Collection Structure Determination Isolation, Expression, Purification,Crystallization PDB Deposition & Release Functional Annotation Publication Day 4: Structure to Function Although structure does not always elucidate function, in many instances the atomic structure readily provides insight into the function of a protein whose function was previously unknown. Structure Pipeline

Genomic Based Target Selection Crystallomics Data Collection Structure Determination Isolation, Expression, Purification,Crystallization PDB Deposition & Release Functional Annotation Publication Day 5: Structure comparisons Structure Pipeline