| Literature DB >> 29642841 |
M Sivade Dumousseau1, D Alonso-López2, M Ammari3, G Bradley4, N H Campbell5, A Ceol6, G Cesareni7, C Combe8, J De Las Rivas2, N Del-Toro1, J Heimbach9,10, H Hermjakob1,11, I Jurisica12,13, M Koch1, L Licata7, R C Lovering5, D J Lynn14,15, B H M Meldal1, G Micklem9,10, S Panni16, P Porras1, S Ricard-Blum17, B Roechert18, L Salwinski19, A Shrivastava1, J Sullivan9,10, N Thierry-Mieg20, Y Yehudi9,10, K Van Roey21, S Orchard22.
Abstract
BACKGROUND: Systems biologists study interaction data to understand the behaviour of whole cell systems, and their environment, at a molecular level. In order to effectively achieve this goal, it is critical that researchers have high quality interaction datasets available to them, in a standard data format, and also a suite of tools with which to analyse such data and form experimentally testable hypotheses from them. The PSI-MI XML standard interchange format was initially published in 2004, and expanded in 2007 to enable the download and interchange of molecular interaction data. PSI-XML2.5 was designed to describe experimental data and to date has fulfilled this basic requirement. However, new use cases have arisen that the format cannot properly accommodate. These include data abstracted from more than one publication such as allosteric/cooperative interactions and protein complexes, dynamic interactions and the need to link kinetic and affinity data to specific mutational changes.Entities:
Keywords: Data standards; HUPO-PSI; Molecular interactions; PSI-MI; Protein complexes; Protein-protein interaction; XML
Mesh:
Substances:
Year: 2018 PMID: 29642841 PMCID: PMC5896046 DOI: 10.1186/s12859-018-2118-1
Source DB: PubMed Journal: BMC Bioinformatics ISSN: 1471-2105 Impact factor: 3.169
Fig. 1The position attribute type and interval attribute type for featureRange have been updated to enable the description of negative values, thus allowing the full description of gene coordinates
Fig. 2The position, effect of a mutation and now also the new sequence replacing the original sequence in a site-directed mutation can be systematically captured using the featureRange positions, the featureType element and a new element named resultingSequence added at the level of the featureRange element
Fig. 3Dynamic interactions resulting from a progressive change in the experimental environment can be described using a variableParameterList element added to the experiment element, which contains one-to-many variableParameter elements