1996-2019 All Rights Reserved. Online Journal of Bioinformatics . You may not store these pages in any form except for your own personal use. All other usage or distribution is illegal under international copyright treaties. Permission to use any of these pages in any other way besides the  before mentioned must be gained in writing from the publisher. This article is exclusively copyrighted in its entirety to OJB publications. This article may be copied once but may not be, reproduced or  re-transmitted without the express permission of the editors. This journal satisfies the refereeing requirements (DEST) for the Higher Education Research Data Collection (Australia). Linking:To link to this page or any pages linking to this page you must link directly to this page only here rather than put up your own page.


 Online Journal of Bioinformatics  


Volume 9 (1):21-29, 2008.

A comparison of information on molecular interactions available in full-length publications versus abstracts.


Mahadevan U1, Bhate J, Raghunath A,  Kashyap S, Dey PC, Prakash N, Bhat B, Mol L, Wong, L2


1Molecular Connections Pvt. Ltd.,  Kandala Mansions, 2/2, Kariappa Road,   Basavangudi, Bangalore- 560 004, 2The Institute for Infocomm Research (I2R), 21 Heng Mui Keng Terrace, Singapore 119613




Mahadevan U, Bhate J, Raghunath A,  Kashyap S, Dey PC, Prakash N, Bhat B, Mol L, Wong LA., Comparison of information on molecular interactions available in full-length publications versus abstracts, Onl J Bioinform., 9 (1):21-29, 2008. The last decade has seen an enormous growth in biomedical research and the number of articles published.  Biological literature is a major repository of knowledge.  Many databases gather this knowledge by curation. As the number of articles increase the burden on curation also increases.  Since abstracts could be obtained free, they could be a good source of knowledge.  However, an analysis of abstract versus full-length curation, in terms of information loss, is not available so far. It is reported from a sample study of 120 research articles that, though the data retrieved from abstracts might vary between 11 to 100%, for 78% of the articles, 50% or more information could be gathered by abstract only curation than by full-length only curation. Interestingly, for about 35% of the genes/proteins, the exact origin of the molecules were not decipherable even when full-length articles were used. The analysis also shows that abstract information is not misleading.


Key Words: text mining, annotation, database, authors language,  abstracts, full length article