The results are consistent with a scenario in which HSA becomes acylated due to a nucleophilic attack by Tyr-411 on the substrate and then is deacylated by general acid or base catalysis with the participation of water.

Here, the comparisons of performance of nine consensus scoring strategies, in which multiple scoring functions were used simultaneously to evaluate candidate structures for a protein-ligand complex, in combination with nine scoring functions (FlexX score, GOLD score, PMF score, DOCK score, ChemScore, DrugScore, PLP, ScreenScore, and X-Score), were carried out. The systematic naming of consensus scoring strategies was also proposed. Our results demonstrate that choosing the most appropriate type of consensus score is essential for model selection in computational docking; although the vote-by-number strategy was an effective selection method, the number-by-number and rank-by-number strategies were more appropriate when computational tractability was taken into account. By incorporating these consensus scores into the FlexX program, reasonable complex models can be obtained more efficiently than those selected by independent FlexX scores. These strategies might also improve the scoring of other docking programs, and more-effective structure-based drug design should result from these improvements.

The heme protein, cytochrome P450, is an oxidoreductase that plays an important role in drug metabolism. To model P450s using molecular mechanics methods and classical molecular dynamics simulations, force field parameters and atomic charges are required. Because these parameters are generally obtained by quantum chemical methods, an appropriate simplified model for the iron-porphyrin system was needed. In this study, two models with a five-coordinated Fe(III) mimicking the sextet spin state of P450s are proposed, which are optimized by semiempirical and ab initio unrestricted Hartree-Fock methods. The results produced using the simpler of the two models were similar to those of the more complex model; therefore, the more simplified model of P450 can be used without a loss of accuracy. Furthermore, several quantum chemical calculations were carried out on the simpler model to investigate which method was most suitable for iron-porphyrin systems. The results calculated by hybrid density functional theory (DFT), with the MIDI basis set for iron, reproduced the three-dimensional structures determined by X-ray diffraction and extended X-ray absorption fine-structure experiments. From these results, atomic charges and force-field parameters for molecular mechanics and molecular dynamics calculations were obtained.

Background: Golgi is a potential target for cancer treatment, but no inhibitor became an anticancer drug.Results: Using a unique bioinformatics approach, we identified a novel Golgi inhibitor, AMF-26, targeting Arf1 activation and possessing potent antitumor activity.Conclusion: AMF-26 is a promising new anticancer drug lead.Significance: Our data indicate that Arf1 activation is a promising target for cancer treatment.

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