A family of styrene derivatives has been used to study the effects of through-space and through-bond interactions on the local and global shapes of electron densities of complete molecules and a set of substituents on their central rings. Shape analysis methods which have been used extensively in the past for the study of molecular property-molecular shape correlations have shown that in these molecules a complementary role is played by the through-space and through-bond interactions. For each specific example, the dominance of either one of the two interactions can be identified and interpreted in terms of local shapes and the typical reactivities of the various substituents. Three levels of quantum chemical computational methods have been applied for these structures, including the B3LYP/cc-pVTZ level of density functional methodology, and the essential conclusions are the same for all three levels. The general approach is suggested as a tool for the identification of specific interaction types which are able to modify molecular electron densities. By separately influencing the through-space and through-bond components using polar groups and groups capable of conjugation, some fine-tuning of the overall effects becomes possible. The method described may contribute to an improved understanding and control of molecular properties involving complex interactions with a possible role in the emerging field of molecular design.
Using a detailed electron density shape analysis methodology, a new method is proposed for studying the main components of substituent effects in a series of disubstituted benzenes, in correlation with their activating and deactivating characteristics as observed by the induced shape changes of a local electron density cloud. The numerical measures obtained for the extent of shape changes can be correlated with known and with some unexpected effects of various substituents. The insight obtained from the shape analysis provides a theoretical, electron density based justification for some well-known trends, but it also provides new explanations for some of the unexpected features of these substituent effects.
Computational prediction of native protein-protein interfaces still remains a challenging task. In virus capsids, each protein unit is in contact with copies of itself through several interfaces. The relative strengths of the different contacts affect the dynamics of the assembly, especially if the process is hierarchical. We investigate the dimerization of the salt-stable cowpea chlorotic mottle virus (CCMV) capsid protein using a combination of different computational tools. The best predictions of dimer configurations provided by blind docking with ZDOCK are rescored using geometry optimization with the Amber and Rosetta force fields. We also evaluate the relative stabilities of the three main interfaces present in the icosahedral capsid using locally restricted docking with Rosetta. Both the rescoring and locally restricted docking results report a particularly stable protein-protein interface, which is the most likely intermediate during the first stage of the hierarchical capsid assembly. The blind docking results rescored with both Amber and Rosetta yield docking funnels, i.e., three or more near-native structures among the top five predictions. The results support experimental observations on in vitro assembly of CCMV capsids. The cross-validation of the results suggests that energy-landscape-based methods with biomolecular force fields have the potential to improve existing docking procedures.
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