Exploring the influence of conserved lysine69 on the catalytic activity of the helicobacter pylori shikimate dehydrogenase: A combined QM/MM and MD simulations

Hybrid Quantum Mechanics/Molecular Mechanics (QM/MM) Simulation: A Tool for Structure-based Drug Design and Discovery

Quantum mechanics (QM) is physics based theory which explains the physical properties of nature at the level of atoms and sub-atoms. Molecular mechanics (MM) construct molecular systems through the use of classical mechanics. So, hybrid quantum mechanics and molecular mechanics (QM/MM) when combined together can act as computer-based methods which can be used to calculate structure and property data of molecular structures. Hybrid QM/MM combines the strengths of QM with accuracy and MM with speed. QM/MM simulation can also be applied for the study of chemical process in solutions as well as in the proteins, and has a great scope in structure-based drug design (CADD) and discovery. Hybrid QM/MM also applied to HTS, to derive QSAR models and due to availability of many protein crystal structures; it has a great role in computational chemistry, especially in structure- and fragment-based drug design. Fused QM/MM simulations have been developed as a widespread method to explore chemical reactions in condensed phases. In QM/MM simulations, the quantum chemistry theory is used to treat the space in which the chemical reactions occur; however the rest is defined through molecular mechanics force field (MMFF). In this review, we have extensively reviewed recent literature pertaining to the use and applications of hybrid QM/MM simulations for ligand and structure-based computational methods for the design and discovery of therapeutic agents.

Microsecond molecular dynamics simulations reveal the allosteric regulatory mechanism of p53 R249S mutation in p53-associated liver cancer

The tumor suppressor p53, a transcription factor, plays a critical role in many cellular processes, including DNA repair and apoptosis and cell cycle arrest. Missense mutations in the p53 have closely related to human cancer. R249S mutation at the p53 core DNA binding domain (DBD) is frequently observed in hepatocellular carcinoma. This mutation is away from the p53 DBD-DNA binding interface. However, how the R249S mutation causes the structural changes of p53 DBD that lead to weak the binding of p53 mutant to DNA has not been clearly understood. Here, microsecond-scale molecular dynamics (MD) simulations of p53 DBD in the wild type (WT) and R249S mutated states in the absence of DNA binding were performed to explore the effect of the R249S mutation on the conformational dynamics of p53 DBD. The R249S mutation does not cause the global conformational changes, and it only affects the local domains at the mutation site and the DNA binding interface, particularly at the S1-S2 turn. The allosteric effects of the S1-S2 turn induced by the R249S mutation lead to the extension of the S1-S2 turn into the β-strands, which in turn interferes with the binding of DNA at the major groove. The results can help decipher the allosteric regulatory mechanism by which the R249S mutation of p53 DBD affects the p53 DBD-DNA interactions.

Computational investigation of a ternary model of SnoN-SMAD3-SMAD4 complex

The transforming growth factor β (TGFβ) plays an essential role in the regulation of cellular processes such as cell proliferation, migration, differentiation, and apoptosis by association with SMAD transcriptional factors that are regulated by the transcriptional regulator SnoN. The crystal structure of SnoN-SMAD4 reveals that SnoN can adopt two binding modes, the open and closed forms, at the interfaces of SMAD4 subunits. Accumulating evidence indicates that SnoN can interact with both SMAD3 and SMAD4 to form a ternary SnoN-SMAD3-SMAD4 complex in the TGFβ signaling pathway. However, how the interaction of SnoN with the SMAD3 and SMAD4 remains unclear. Here, molecular dynamics (MD) simulations and molecular modeling methods were performed to figure out this issue. The simulations reveal that SnoN^open exists in two, open and semi-closed, conformations. Molecular modeling and MD simulation studies suggest that the SnoN^closed form interferes with the SMAD3-SMAD4 protein; in contract, the SnoN^open can form a stable SnoN-SMAD3-SMAD4 complex. These mechanistic mechanisms may help elucidate the detailed engagement of SnoN with two SMAD3 and SMAD4 transcriptional factors in the regulation of TGFβ signaling pathway.