DAPPER: a data-mining resource for protein-protein interactions
نویسندگان
چکیده
منابع مشابه
Mining literature for protein-protein interactions
MOTIVATION A central problem in bioinformatics is how to capture information from the vast current scientific literature in a form suitable for analysis by computer. We address the special case of information on protein-protein interactions, and show that the frequencies of words in Medline abstracts can be used to determine whether or not a given paper discusses protein-protein interactions. F...
متن کاملDiscovering Domains Mediating Protein Interactions
Background: Protein-protein interactions do not provide any direct information regarding the domains within the proteins that mediate the interactions. The majority of proteins are multi domain proteins and the interaction between them is often defined by the pairs of their domains. Most of the former studies focus only on interacting domain pairs. However they do not consider the in...
متن کاملConfirming protein-protein interactions by text mining
Motivation: Although manual curation of proteinprotein interactions from literature resulted in several large databases, many interactions are still available only in manuscripts. Though PubMed does include a search engine, protein-protein interactions remain difficult to find in an automated manner. Results: OPHID Text Miner (OTM) is an information extraction system dedicated to finding specif...
متن کاملMining Physical Protein-protein Interactions from Literature
Background: Physical protein-protein interactions are fundamental to understand both the functions of proteins and the entire biological processes. Due to the development of high throughput experimental technologies such as the yeast two-hybrid screening, the interaction data are growing in an increasing speed. Manual curation which spends much time and cost could not keep up with the rapid gro...
متن کاملProtein Function Assignment through Mining Cross-Species Protein-Protein Interactions
BACKGROUND As we move into the post genome-sequencing era, an immediate challenge is how to make best use of the large amount of high-throughput experimental data to assign functions to currently uncharacterized proteins. We here describe CSIDOP, a new method for protein function assignment based on shared interacting domain patterns extracted from cross-species protein-protein interaction data...
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ژورنال
عنوان ژورنال: BioData Mining
سال: 2015
ISSN: 1756-0381
DOI: 10.1186/s13040-015-0063-3