Yang Jingxu, Liu Hao, Liu Xiaorui, Gu Chengbo, Luo Ray, Chen Hai-Feng
State Key Laboratory of Microbial metabolism, Department of Bioinformatics and Biostatistics, College of Life Sciences and Biotechnology, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai, 200240, China.
International Peace Maternity and Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai 200030, China.
J Chem Inf Model. 2016 Jun 27;56(6):1184-1192. doi: 10.1021/acs.jcim.6b00115. Epub 2016 Jun 9.
Pyruvate kinase M2 (PKM2) plays a key role in tumor metabolism and regulates the rate-limiting final step of glycolysis. In tumor cells, there are two allosteric effectors for PKM2: fructose-1,6-bisphosphate (FBP) and serine. However, the relationship between FBP and serine for allosteric regulation of PKM2 is unknown. Here we constructed residue/residue fluctuation correlation network based on all-atom molecular dynamics simulations to reveal the regulation mechanism. The results suggest that the correlation network in bound PKM2 is distinctly different from that in the free state, FBP/PKM2, or Ser/PKM2. The community network analysis indicates that the information can freely transfer from the allosteric sites of FBP and serine to the substrate site in bound PKM2, while there exists a bottleneck for information transfer in the network of the free state. Furthermore, the binding free energy between the substrate and PKM2 for bound PKM2 is significantly lower than either of FBP/PKM2 or Ser/PKM2. Thus, a hypothesis of "synergistic allosteric mechanism" is proposed for the allosteric regulation of FBP and serine. This hypothesis was further confirmed by the perturbational and mutational analyses of community networks and binding free energies. Finally, two possible synergistic allosteric pathways of FBP-K433-T459-R461-A109-V71-R73-MG2-OXL and Ser-I47-C49-R73-MG2-OXL were identified based on the shortest path algorithm and were confirmed by the network perturbation analysis. Interestingly, no similar pathways could be found in the free state. The process targeting on the allosteric pathways can better regulate the glycolysis of PKM2 and significantly inhibit the progression of tumor.
丙酮酸激酶M2(PKM2)在肿瘤代谢中起关键作用,并调节糖酵解的限速终末步骤。在肿瘤细胞中,PKM2有两种别构效应物:1,6-二磷酸果糖(FBP)和丝氨酸。然而,FBP和丝氨酸对PKM2别构调节的关系尚不清楚。在此,我们基于全原子分子动力学模拟构建了残基/残基涨落相关网络,以揭示调节机制。结果表明,结合态PKM2中的相关网络与游离态、FBP/PKM2或Ser/PKM2中的明显不同。群落网络分析表明,在结合态PKM2中,信息可从FBP和丝氨酸的别构位点自由传递至底物位点,而在游离态网络中存在信息传递瓶颈。此外,结合态PKM2中底物与PKM2之间的结合自由能显著低于FBP/PKM2或Ser/PKM2中的任何一个。因此,提出了FBP和丝氨酸别构调节的“协同别构机制”假说。通过群落网络和结合自由能的扰动及突变分析进一步证实了该假说。最后,基于最短路径算法确定了两条可能的协同别构途径FBP-K433-T459-R461-A109-V71-R73-MG2-OXL和Ser-I47-C49-R73-MG2-OXL,并通过网络扰动分析得到证实。有趣的是,在游离态中未发现类似途径。针对别构途径的过程可更好地调节PKM2的糖酵解,并显著抑制肿瘤进展。