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1.
J Struct Biol ; 175(2): 224-9, 2011 Aug.
Article in English | MEDLINE | ID: mdl-21605682

ABSTRACT

The Protein Information Management System (PiMS) is a laboratory information management system (LIMS) designed for use with the production of proteins in a research environment. The software is distributed under the CCP4 licence, and so is available free of charge to academic laboratories. Like most LIMS, the underlying PiMS data model originally had no support for protein-protein complexes. To support the SPINE2-Complexes project the developers have extended PiMS to meet these requirements. The modifications to PiMS, described here, include data model changes, additional protocols, some user interface changes and functionality to detect when an experiment may have formed a complex. Example data are shown for the production of a crystal of a protein complex. Integration with SPINE2-Complexes Target Tracker application is also described.


Subject(s)
Database Management Systems , Information Management/methods , Multiprotein Complexes , Protein Conformation , Databases, Protein , Multiprotein Complexes/chemistry , Multiprotein Complexes/genetics , User-Computer Interface , Workflow
2.
J Struct Biol ; 175(2): 230-5, 2011 Aug.
Article in English | MEDLINE | ID: mdl-21605683

ABSTRACT

A major advance in protein structure determination has been the advent of nanolitre-scale crystallization and (in a high-throughput environment) the development of robotic systems for storing and imaging crystallization trials. Most of these trials are carried out in 96-well (or higher density) plates and managing them is a significant information management challenge. We describe xtalPiMS, a web-based application for the management and monitoring of crystallization trials. xtalPiMS has a user-interface layer based on the standards of the Protein Information Management System (PiMS) and a database layer which links the crystallization trial images to the meta-data associated with a particular crystallization trial. The user interface has been optimized for the efficient monitoring of high-throughput environments with three different automated imagers and work to support a fourth imager is in progress, but it can even be of use without robotics. The database can either be a PiMS database or a legacy database for which a suitable mapping layer has been developed.


Subject(s)
Database Management Systems , Information Management/methods , Proteins/chemistry , Crystallography, X-Ray , Databases, Protein , Online Systems , User-Computer Interface
3.
Acta Crystallogr D Biol Crystallogr ; 67(Pt 4): 249-60, 2011 Apr.
Article in English | MEDLINE | ID: mdl-21460443

ABSTRACT

The techniques used in protein production and structural biology have been developing rapidly, but techniques for recording the laboratory information produced have not kept pace. One approach is the development of laboratory information-management systems (LIMS), which typically use a relational database schema to model and store results from a laboratory workflow. The underlying philosophy and implementation of the Protein Information Management System (PiMS), a LIMS development specifically targeted at the flexible and unpredictable workflows of protein-production research laboratories of all scales, is described. PiMS is a web-based Java application that uses either Postgres or Oracle as the underlying relational database-management system. PiMS is available under a free licence to all academic laboratories either for local installation or for use as a managed service.


Subject(s)
Management Information Systems , Proteins/isolation & purification , Databases, Protein , Proteins/genetics
4.
Proteins ; 58(2): 285-9, 2005 Feb 01.
Article in English | MEDLINE | ID: mdl-15468326

ABSTRACT

MOLE (mining, organizing, and logging experiments) has been developed to meet the growing data management and target tracking needs of molecular biologists and protein crystallographers. The prototype reported here will become a Laboratory Information Management System (LIMS) to help protein scientists manage the large amounts of laboratory data being generated due to the acceleration in proteome research and will furthermore facilitate collaborations between groups based at different sites. To achieve this, MOLE is based on the data model for protein production devised at the European Bioinformatics Institute (Pajon A, et al., Proteins in press).


Subject(s)
Computational Biology/methods , Database Management Systems , Proteomics/methods , Software , Algorithms , Clinical Laboratory Information Systems , Computer Simulation , Crystallography, X-Ray/methods , Databases, Factual , Databases, Protein , Programming Languages , Protein Conformation
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