Chapter 14: Automated Mining of Disease-Specific Protein Interaction Networks Based on Biomedical Literature

Rajesh Chowdhary, Boris R. Jankovic, Rachel V. Stankowski, John A.C. Archer, Xiangliang Zhang, Xin Gao, Vladimir B. Bajic

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Elucidation of protein interaction networks (PINs) is essential for understanding disease-related biological processes and mechanisms. While significant information regarding PINs is available in the literature as free-text, such information is difficult to retrieve and synthesize. The following chapter describes machine learning techniques and web-based tools for literature-based extraction of protein interactions and their networks. Two case studies are provided to illustrate the efficient use of automated text-mining based applications in biomedical research using the tools PIMiner (http://www.biotextminer.com/PPI/index.html) and CPNM (http://www.biotextminer.com/CPNM/).
Original languageEnglish (US)
Title of host publicationScience, Engineering, and Biology Informatics
PublisherWorld Scientific Pub Co Pte Lt
Pages393-415
Number of pages23
ISBN (Print)9789814551007
DOIs
StatePublished - Dec 17 2013

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