Handa Noriko, Takagi Tetsuo, Saijo Shinya, Kishishita Seiichiro, Takaya Daisuke, Toyama Mitsutoshi, Terada Takaho, Shirouzu Mikako, Suzuki Atsushi, Lee Suni, Yamauchi Toshimasa, Okada-Iwabu Miki, Iwabu Masato, Kadowaki Takashi, Minokoshi Yasuhiko, Yokoyama Shigeyuki
RIKEN Systems and Structural Biology Center, 1-7-22 Suehiro-cho, Tsurumi, Yokohama 230-0045, Japan.
Acta Crystallogr D Biol Crystallogr. 2011 May;67(Pt 5):480-7. doi: 10.1107/S0907444911010201. Epub 2011 Apr 14.
AMP-activated protein kinase (AMPK) is a serine/threonine kinase that functions as a sensor to maintain energy balance at both the cellular and the whole-body levels and is therefore a potential target for drug design against metabolic syndrome, obesity and type 2 diabetes. Here, the crystal structure of the phosphorylated-state mimic T172D mutant kinase domain from the human AMPK α2 subunit is reported in the apo form and in complex with a selective inhibitor, compound C. The AMPK α2 kinase domain exhibits a typical bilobal kinase fold and exists as a monomer in the crystal. Like the wild-type apo form, the T172D mutant apo form adopts the autoinhibited structure of the `DFG-out' conformation, with the Phe residue of the DFG motif anchored within the putative ATP-binding pocket. Compound C binding dramatically alters the conformation of the activation loop, which adopts an intermediate conformation between DFG-out and DFG-in. This induced fit forms a compound-C binding pocket composed of the N-lobe, the C-lobe and the hinge of the kinase domain. The pocket partially overlaps with the putative ATP-binding pocket. These three-dimensional structures will be useful to guide drug discovery.
AMP激活的蛋白激酶(AMPK)是一种丝氨酸/苏氨酸激酶,作为一种传感器,在细胞和全身水平维持能量平衡,因此是针对代谢综合征、肥胖症和2型糖尿病进行药物设计的潜在靶点。在此,报道了人AMPKα2亚基磷酸化状态模拟T172D突变体激酶结构域在无配体形式下以及与选择性抑制剂化合物C结合时的晶体结构。AMPKα2激酶结构域呈现典型的双叶激酶折叠,在晶体中以单体形式存在。与野生型无配体形式一样,T172D突变体无配体形式采用“DFG-out”构象的自抑制结构,DFG基序的苯丙氨酸残基锚定在假定的ATP结合口袋内。化合物C的结合显著改变了激活环的构象,其采用了介于DFG-out和DFG-in之间的中间构象。这种诱导契合形成了一个由激酶结构域的N叶、C叶和铰链组成的化合物C结合口袋。该口袋与假定的ATP结合口袋部分重叠。这些三维结构将有助于指导药物发现。