Negatome 2.0: a database of non-interacting proteins derived by literature mining, manual annotation and protein structure analysis

Understanding Protein–Protein Interactions Using Local Structural Features

(2013) Joan Planas-Iglesias et al.   JOURNAL OF MOLECULAR BIOLOGY

The Development of a Universal In Silico Predictor of Protein-Protein Interactions

(2013) Guilherme T. Valente et al.   PLoS One

A computational framework for boosting confidence in high-throughput protein-protein interaction datasets

(2013) Raghavendra Hosur et al.   GENOME BIOLOGY

BioContext: an integrated text mining system for large-scale extraction and contextualization of biomolecular events

(2012) M. Gerner et al.   BIOINFORMATICS

Negative protein–protein interaction datasets derived from large-scale two-hybrid experiments

(2012) Leonardo G. Trabuco et al.   METHODS

SIFTS: Structure Integration with Function, Taxonomy and Sequences resource

(2012) Sameer Velankar et al.   NUCLEIC ACIDS RESEARCH

Database resources of the National Center for Biotechnology Information

(2012)   NUCLEIC ACIDS RESEARCH

Network Compression as a Quality Measure for Protein Interaction Networks

(2012) Loic Royer et al.   PLoS One

The IntAct molecular interaction database in 2012

(2011) S. Kerrien et al.   NUCLEIC ACIDS RESEARCH

DA DA: Degree-Aware Algorithms for Network-Based Disease Gene Prioritization

(2011) Sinan Erten et al.   BioData Mining

Simple sequence-based kernels do not predict protein-protein interactions

(2010) J. Yu et al.   BIOINFORMATICS

Biomedical negation scope detection with conditional random fields

(2010) Shashank Agarwal et al.   JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION

3did: identification and classification of domain-based interactions of known three-dimensional structure

(2010) A. Stein et al.   NUCLEIC ACIDS RESEARCH

The Negatome database: a reference set of non-interacting protein pairs

(2009) Pawel Smialowski et al.   NUCLEIC ACIDS RESEARCH

Large Scale Application of Neural Network Based Semantic Role Labeling for Automated Relation Extraction from Biomedical Texts

(2009) Thorsten Barnickel et al.   PLoS One

Estimating the size of the human interactome

(2008) M. P. H. Stumpf et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA