Literature DB >> 35713863

A Text Mining Protocol for Mining Biological Pathways and Regulatory Networks from Biomedical Literature.

Sabenabanu Abdulkadhar1, Jeyakumar Natarajan2.   

Abstract

A biological pathway or regulatory network is a collection of molecular regulators which can activate the changes in cellular processes leading to an assembly of new molecules by series of actions among the molecules. There are three important pathways in system biology studies namely signaling pathways, metabolic pathways, and genetic pathways (or) gene regulatory networks. Recently, biological pathway construction from scientific literature is given much attention as the scientific literature contains a rich set of linguistic features to extract biological associations between genes and proteins. These associations can be united to construct biological networks. Here, we present a brief overview about various biological pathways, biomedical text resources/corpora for network construction and state-of-the-art existing methods for network construction followed by our hybrid text mining protocol for extracting pathways and regulatory networks from biomedical literature.
© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Automatic curation; Biological pathways; Knowledge Discovery; Regulatory Networks; Text Mining

Mesh:

Substances:

Year:  2022        PMID: 35713863     DOI: 10.1007/978-1-0716-2305-3_8

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


  27 in total

1.  Text mining biomedical literature for constructing gene regulatory networks.

Authors:  Yong-Ling Song; Su-Shing Chen
Journal:  Interdiscip Sci       Date:  2009-08-07       Impact factor: 2.233

Review 2.  Event extraction for systems biology by text mining the literature.

Authors:  Sophia Ananiadou; Sampo Pyysalo; Jun'ichi Tsujii; Douglas B Kell
Journal:  Trends Biotechnol       Date:  2010-06-01       Impact factor: 19.536

3.  Natural language processing: state of the art and prospects for significant progress, a workshop sponsored by the National Library of Medicine.

Authors:  Carol Friedman; Thomas C Rindflesch; Milton Corn
Journal:  J Biomed Inform       Date:  2013-06-25       Impact factor: 6.317

Review 4.  Analysis of biological processes and diseases using text mining approaches.

Authors:  Martin Krallinger; Florian Leitner; Alfonso Valencia
Journal:  Methods Mol Biol       Date:  2010

Review 5.  Literature mining, ontologies and information visualization for drug repurposing.

Authors:  Christos Andronis; Anuj Sharma; Vassilis Virvilis; Spyros Deftereos; Aris Persidis
Journal:  Brief Bioinform       Date:  2011-06-28       Impact factor: 11.622

Review 6.  Two-Component Sensing and Regulation: How Do Histidine Kinases Talk with Response Regulators at the Molecular Level?

Authors:  Alejandro Buschiazzo; Felipe Trajtenberg
Journal:  Annu Rev Microbiol       Date:  2019-06-21       Impact factor: 15.500

7.  Biological network extraction from scientific literature: state of the art and challenges.

Authors:  Chen Li; Maria Liakata; Dietrich Rebholz-Schuhmann
Journal:  Brief Bioinform       Date:  2013-02-22       Impact factor: 11.622

Review 8.  MicroRNAs and complex diseases: from experimental results to computational models.

Authors:  Xing Chen; Di Xie; Qi Zhao; Zhu-Hong You
Journal:  Brief Bioinform       Date:  2019-03-22       Impact factor: 11.622

Review 9.  The challenge of constructing, classifying, and representing metabolic pathways.

Authors:  Ron Caspi; Kate Dreher; Peter D Karp
Journal:  FEMS Microbiol Lett       Date:  2013-06-27       Impact factor: 2.742

10.  iRegulon: from a gene list to a gene regulatory network using large motif and track collections.

Authors:  Rekin's Janky; Annelien Verfaillie; Hana Imrichová; Bram Van de Sande; Laura Standaert; Valerie Christiaens; Gert Hulselmans; Koen Herten; Marina Naval Sanchez; Delphine Potier; Dmitry Svetlichnyy; Zeynep Kalender Atak; Mark Fiers; Jean-Christophe Marine; Stein Aerts
Journal:  PLoS Comput Biol       Date:  2014-07-24       Impact factor: 4.475

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