Literature DB >> 20013380

Molecular interactions and data standardisation.

Sandra Orchard1, Samuel Kerrien.   

Abstract

Molecular interactions are crucial components of the cellular process. In order to understand this complex machinery, one needs to gather published data from various sources. Many projects have initiated the collection of interaction data for this purpose since 2002. However, the lack of standardisation previously made the task of aggregating datasets difficult. This issue has been resolved by the creation of Molecular Interaction standard in 2004 by members of the Proteomics Standards Initiative (PSI), a work group of the Human Proteome Organization (HUPO). Furthermore, major database providers have come together with the goal to exchange data in order to optimise laborious curation tasks. Finally, tools and frameworks have been created based on PSI-MI standards to facilitate the visualisation and analysis of molecular interaction data.

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Year:  2010        PMID: 20013380     DOI: 10.1007/978-1-60761-444-9_21

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  12 in total

1.  A network map of Interleukin-10 signaling pathway.

Authors:  Renu Verma; Lavanya Balakrishnan; Kusum Sharma; Aafaque Ahmad Khan; Jayshree Advani; Harsha Gowda; Srikanth Prasad Tripathy; Mrutyunjay Suar; Akhilesh Pandey; Sheetal Gandotra; T S Keshava Prasad; Subramanian Shankar
Journal:  J Cell Commun Signal       Date:  2015-08-08       Impact factor: 5.782

2.  A knowledgebase resource for interleukin-17 family mediated signaling.

Authors:  Jyoti Sharma; Lavanya Balakrishnan; Keshava K Datta; Nandini A Sahasrabuddhe; Aafaque Ahmad Khan; Apeksha Sahu; Anish Singhal; Derese Getnet; Rajesh Raju; Aditi Chatterjee; Harsha Gowda; T S Keshava Prasad; Subramanian Shankar; Akhilesh Pandey
Journal:  J Cell Commun Signal       Date:  2015-06-16       Impact factor: 5.782

3.  A Signaling Network of Thyroid-Stimulating Hormone.

Authors:  Renu Goel; Rajesh Raju; Jagadeesha Maharudraiah; Ghantasala S Sameer Kumar; Krishna Ghosh; Amit Kumar; T Pragna Lakshmi; Jyoti Sharma; Rakesh Sharma; Lavanya Balakrishnan; Archana Pan; Kumaran Kandasamy; Rita Christopher; V Krishna; S Sujatha Mohan; H C Harsha; Premendu P Mathur; Akhilesh Pandey; T S Keshava Prasad
Journal:  J Proteomics Bioinform       Date:  2011-10-29

4.  The 5-Hydroxytryptamine signaling map: an overview of serotonin-serotonin receptor mediated signaling network.

Authors:  Apeksha Sahu; Lathika Gopalakrishnan; Nayana Gaur; Oishi Chatterjee; Praseeda Mol; Prashant Kumar Modi; Shobha Dagamajalu; Jayshree Advani; Sanjeev Jain; T S Keshava Prasad
Journal:  J Cell Commun Signal       Date:  2018-07-24       Impact factor: 5.782

Review 5.  The Methods Employed in Mass Spectrometric Analysis of Posttranslational Modifications (PTMs) and Protein-Protein Interactions (PPIs).

Authors:  Rama R Yakubu; Edward Nieves; Louis M Weiss
Journal:  Adv Exp Med Biol       Date:  2019       Impact factor: 2.622

Review 6.  Controlled vocabularies and ontologies in proteomics: overview, principles and practice.

Authors:  Gerhard Mayer; Andrew R Jones; Pierre-Alain Binz; Eric W Deutsch; Sandra Orchard; Luisa Montecchi-Palazzi; Juan Antonio Vizcaíno; Henning Hermjakob; David Oveillero; Randall Julian; Christian Stephan; Helmut E Meyer; Martin Eisenacher
Journal:  Biochim Biophys Acta       Date:  2013-02-19

7.  TcoF-DB: dragon database for human transcription co-factors and transcription factor interacting proteins.

Authors:  Ulf Schaefer; Sebastian Schmeier; Vladimir B Bajic
Journal:  Nucleic Acids Res       Date:  2010-10-21       Impact factor: 16.971

8.  A comprehensive manually curated reaction map of RANKL/RANK-signaling pathway.

Authors:  Rajesh Raju; Lavanya Balakrishnan; Vishalakshi Nanjappa; Mitali Bhattacharjee; Derese Getnet; Babylakshmi Muthusamy; Joji Kurian Thomas; Jyoti Sharma; B Abdul Rahiman; H C Harsha; Subramanian Shankar; T S Keshava Prasad; S Sujatha Mohan; Gary D Bader; Mohan R Wani; Akhilesh Pandey
Journal:  Database (Oxford)       Date:  2011-07-08       Impact factor: 3.451

9.  Simplified method to predict mutual interactions of human transcription factors based on their primary structure.

Authors:  Sebastian Schmeier; Boris Jankovic; Vladimir B Bajic
Journal:  PLoS One       Date:  2011-07-05       Impact factor: 3.240

10.  TSLP signaling pathway map: a platform for analysis of TSLP-mediated signaling.

Authors:  Jun Zhong; Jyoti Sharma; Rajesh Raju; Shyam Mohan Palapetta; T S Keshava Prasad; Tai-Chung Huang; Akinori Yoda; Jeffrey W Tyner; Diederik van Bodegom; David M Weinstock; Steven F Ziegler; Akhilesh Pandey
Journal:  Database (Oxford)       Date:  2014-02-25       Impact factor: 3.451

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