title: Recent progresses in identifying nuclear receptors and their families.
abstract: Nuclear receptors (NRs) are members of a large superfamily of evolutionarily related DNA-binding transcription factors. They regulate diverse functions, such as homeostasis, reproduction, development and metabolism. As nuclear receptors bind small molecules that can easily be modified by drug design, and control functions associated with major diseases (e.g. cancer, osteoporosis and diabetes), they are promising pharmacological targets. According to their different action mechanisms or functions, NR superfamily has been classified into seven families: NR1 (thyroid hormone like), NR2 (HNF4-like), NR3 (estrogen like), NR4 (nerve growth factor IB-like), NR5 (fushi tarazu-F1 like), NR6 (germ cell nuclear factor like), and NR0 (knirps or DAX like). With the avalanche of protein sequences generated in the postgenomic age, Scientists are facing the following challenging problems. Given an uncharacterized protein sequence, how can we identify whether it is a nuclear receptor? If it is, what family even subfamily it belongs to? To address these problems, many cheminformatics tools have been developed for nuclear receptor prediction. The current review is mainly focused on this field, including the functions, computational methods and limitations of these tools.
authors: Computer Department, Jing- De-Zhen Ceramic Institute, China. xxiao@gordonlifescience.org
authors: Xuan
authors: X
authors: Xiao
authors: Pu
authors: P
authors: Wang
authors: Kuo-Chen
authors: KC
authors: Chou
mesh_terms: D000465:Algorithms; D000818:Animals; D019295:Computational Biology; D006801:Humans; D008490:Medical Informatics; D008958:Models, Molecular; D018160:Receptors, Cytoplasmic and Nuclear / Q000737:chemistry* / Q000145:classification* / Q000378:metabolism
chemical_list: D018160:Receptors, Cytoplasmic and Nuclear