- Home
- Publications
- Publication Search
- Publication Details
Title
Text Mining for Protein Docking
Authors
Keywords
Text mining, Protein structure prediction, Protein structure, Proteomic databases, Protein complexes, Protein extraction, Information retrieval, Protein structure determination
Journal
PLoS Computational Biology
Volume 11, Issue 12, Pages e1004630
Publisher
Public Library of Science (PLoS)
Online
2015-12-10
DOI
10.1371/journal.pcbi.1004630
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Text as data: Using text-based features for proteins representation and for computational prediction of their characteristics
- (2015) Hagit Shatkay et al. METHODS
- Protein–protein interaction predictions using text mining methods
- (2015) Nikolas Papanikolaou et al. METHODS
- Protein-Protein Docking: From Interaction to Interactome
- (2014) Ilya A. Vakser BIOPHYSICAL JOURNAL
- Scoring functions for protein–protein interactions
- (2013) Iain H Moal et al. CURRENT OPINION IN STRUCTURAL BIOLOGY
- Negatome 2.0: a database of non-interacting proteins derived by literature mining, manual annotation and protein structure analysis
- (2013) Philipp Blohm et al. NUCLEIC ACIDS RESEARCH
- Activities at the Universal Protein Resource (UniProt)
- (2013) NUCLEIC ACIDS RESEARCH
- Docking, scoring, and affinity prediction in CAPRI
- (2013) Marc F. Lensink et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Literature mining of host–pathogen interactions: comparing feature-based supervised learning and language-based approaches
- (2012) Thanh Thieu et al. BIOINFORMATICS
- A text-mining system for extracting metabolic reactions from full-text articles
- (2012) Jan Czarnecki et al. BMC BIOINFORMATICS
- Automated extraction and semantic analysis of mutation impacts from the biomedical literature
- (2012) Nona Naderi et al. BMC GENOMICS
- Text-mining solutions for biomedical research: enabling integrative biology
- (2012) Dietrich Rebholz-Schuhmann et al. NATURE REVIEWS GENETICS
- Text Mining Improves Prediction of Protein Functional Sites
- (2012) Karin M. Verspoor et al. PLoS One
- Text Mining for Literature Review and Knowledge Discovery in Cancer Risk Assessment and Research
- (2012) Anna Korhonen et al. PLoS One
- Templates are available to model nearly all complexes of structurally characterized proteins
- (2012) P. J. Kundrotas et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- PIE the search: searching PubMed literature for protein interaction information
- (2011) Sun Kim et al. BIOINFORMATICS
- Classifying protein-protein interaction articles using word and syntactic features
- (2011) Sun Kim et al. BMC BIOINFORMATICS
- PESCADOR, a web-based tool to assist text-mining of biointeractions extracted from PubMed queries
- (2011) Adriano Barbosa-Silva et al. BMC BIOINFORMATICS
- LAITOR - Literature Assistant for Identification of Terms co-Occurrences and Relationships
- (2010) Adriano Barbosa-Silva et al. BMC BIOINFORMATICS
- Literature curation of protein interactions: measuring agreement across major public databases
- (2010) A. L. Turinsky et al. Database-The Journal of Biological Databases and Curation
- Evaluation of linguistic features useful in extraction of interactions from PubMed; Application to annotating known, high-throughput and predicted interactions in I2D
- (2009) Yun Niu et al. BIOINFORMATICS
- Protein–protein interaction extraction by leveraging multiple kernels and parsers
- (2009) Makoto Miwa et al. INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS
- DOCKGROUND protein-protein docking decoy set
- (2008) S. Liu et al. BIOINFORMATICS
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now