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Information on gene drug associations is based on literature annotations from two different sources.
For the remaining databases, which are all based on literature annotations, the number of papers describing the associations is given as a proxy for the support for the association.
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First, a subset of 1068 proteins was manually defined as training proteins based on literature searches and Uniprot annotations.
Many of these genes are also involved in disease response mechanisms based on literature information and genome annotation [ 24, 29, 30].
Perez-Iratxeta et al. utilized the fuzzy set theory to construct a scoring system for discovering disease-related genes based on literature descriptions of diseases and functional annotations of genes [ 5].
In the first step, the list of all the known gene names (HUGO) for the human was used as an input for Bibliosphere [27] and a list of TFs retrieved based on literature, gene ontology (GO) and manual annotation.
In addition, custom annotations were implemented based on literature and other public sources.
Based on literature findings, the use of LongSAGE should refine annotation of SAGE tags [ 16].
These are important and complementary to existing annotation and interpretation software based on literature information about individual genes, gene interactions and biological functions [ 12, 36, 37].
Few other tools, such as miR2Disease [ 69] and miReg [ 70], manually curate annotation of miRNA functions and focus on the association with human diseases based on literature.
To achieve this, we used the Database for Annotation, Visualization and Integrated Discovery (DAVID) focusing on the "Uniprot Tissue" list, a curated list of localization based on literature mining.
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