RESUMO
Protein kinase B (PKB) is a serine/threonine kinase that plays a key role in the phosphoinositide 3-kinase (PI3K) pathway-one of the most frequently activated proliferation pathways in cancer. In this pathway, PKB is recruited to the plasma membrane by direct interaction of its pleckstrin homology (PH) domain with the inositol phosphate head-group of phosphatidylinositol 3,4,5-trisphosphate [PtdIns(3,4,5)P(3)] or phosphatidylinositol 3,4-bisphosphate [PtdIns(3,4)P(2)]. This recruitment is a critical stage in the activation of PKB, whose downstream effectors play important roles in cell survival, proliferation and growth. It is therefore of great interest to understand PKB's mode of binding, as well as its specificity and affinity for different phosphoinositides. We have used a total of 3 µs of molecular dynamics (MD) simulations to better understand the interactions of the PKB PH domain with the inositol phosphate head-groups of phosphoinositides involved in the PI3K pathway. Our computational models successfully mirror PKB's in vivo selectivity for 3-phosphorylated phosphoinositides. Furthermore, the models also help to rationalize unexpected in vitro data in which inositol 1,4,5-trisphosphate [Ins(1,4,5)P(3)] binds with a relatively high affinity to the PKB PH domain, despite its parent lipid phosphatidylinositol 4,5-bisphosphate [PtdIns(4,5)P(2)] being known not to bind in vivo. With the support of computational simulations, we propose that when not bonded to a phosphatidate tail Ins(1,4,5)P(3) binds in an orientation in which its inositol ring is flipped with respect to the 3-phosphorylated inositol phosphate ligands and its parent lipid.
Assuntos
Fosfatos de Inositol/química , Proteínas Proto-Oncogênicas c-akt/química , Proteínas Sanguíneas/química , Ligação de Hidrogênio , Simulação de Dinâmica Molecular , Fosfoproteínas/química , Estrutura Terciária de Proteína , Proteínas Proto-Oncogênicas c-akt/metabolismo , TermodinâmicaRESUMO
This paper describes the parameterization of inositol 1,3,4,5-tetrakisphosphate [Ins(1,3,4,5)P(4)] for use in molecular dynamics (MD) simulations. For this theoretical investigation, eleven isomers of Ins(1,3,4,5)P(4), with different levels and arrangements of protonation, have been considered. Herein we report accurate quantum mechanics (QM) calculations offering a detailed description of the energetic and structural properties of the Ins(1,3,4,5)P(4) isomers and subsequent development of parameters for these isomers for application in the AMBER force field. QM calculations were employed to geometry optimize the Ins(1,3,4,5)P(4) isomers, using the DFT-B3LYP level of theory in gas phase. In subsequent steps, charge parameters were generated for each isomer. These charge parameters, plus assigned atom-types from the AMBER ff99SB force field, were then applied to the optimized isomers for energy minimization in AMBER. The quality of the parameters was evaluated by comparing the structural, energetic and spectroscopic properties of the Ins(1,3,4,5)P(4) isomers between the QM geometry optimization stage, from which the parameters were generated, and the energy minimization stage, in which the parameters were applied. The results were shown to be in strong qualitative agreement between these stages, suggesting good quality parameters have been obtained. Additionally, adaptations to the gas phase protocol, investigating the use of the MP2 method for the geometry optimization stage and GAFF atom-types for the energy minimization stage, were tested. These results confirmed the initial protocol applied was the most appropriate. Calculations for the Ins(1,3,4,5)P(4) isomers were also carried out in the presence of implicit solvent, allowing comparison and validation of the theoretical calculations with experimental data. The computed energetic properties of the Ins(1,3,4,5)P(4) isomers were assessed against their experimental probabilities based on (31)P-NMR titration data. The computational and experimental results were shown to be in strong agreement, with the lower energy isomers corresponding to those more probable. This paper reports a clearly-defined algorithmic approach to generate parameters for the highly charged Ins(1,3,4,5)P(4) ligand, permitting their use in future MD studies.