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a Wiki-based database for transcription factor-binding data generated by the ENCODE consortium. database: website [8] hmChIP a database and web server for exploring publicly available human and mouse ChIP-seq and ChIP-chip data. database: website [9] HOCOMOCO: a comprehensive collection of human and mouse transcription factor binding sites ...
The target sequences and the regulated genes can be listed for each TF, which can be used as benchmark for TFBS recognition tools or as training sets for new transcription factor binding sites (TFBS) recognition algorithms. [12] The TF classification enables to analyze such data sets with regard to the properties of the DNA-binding domains. [13]
Target validation normally requires the determination that the target is expressed in the disease-relevant cells/tissues, [6] it can be directly modulated by a drug or drug-like molecule with adequate potency in biochemical assay, [7] and that target modulation in cell and/or animal models ameliorates the relevant disease phenotype. [8]
AnimalTFDB; Content; Description: animal transcription factor database.: Contact; Research center: Huazhong University of Science and Technology: Laboratory: Hubei Bioinformatics & Molecular Imaging Key Laboratory
TDR in the name of the database stands from the popular abbreviation for a special programme within the World Health Organization, whose focus is Tropical Disease Research. The project was jumpstarted by funds from this programme (see Special Programme for Research and Training in Tropical Diseases ), and the initial focus of the resource was ...
In molecular biology, a transcription factor (TF) (or sequence-specific DNA-binding factor) is a protein that controls the rate of transcription of genetic information from DNA to messenger RNA, by binding to a specific DNA sequence.
The experimentally validated microRNA-target interactions database. As a database, miRTarBase has accumulated more than three hundred and sixty thousand miRNA-target interactions (MTIs), which are collected by manually surveying pertinent literature after NLP of the text systematically to filter research articles related to functional studies ...
Compared to other target-prediction tools [which?] TargetScan provides accurate rankings of the predicted targets for each miRNA. [6] These rankings are based on either the probability of evolutionarily conserved targeting (P CT scores. [4]) or the predicted efficacy of repression (context++ scores). [6]