The coarse-grained Martini force field is widely used in biomolecular simulations. Here, we present the refined model, Martini 3 (http://cgmartini.nl), with an improved interaction balance, new bead types, and expanded ability to include specific interactions representing, e.g. hydrogen bonding and electronic polarizability. The new model allows more accurate predictions of molecular packing and interactions in general, which is exemplified with a vast and diverse set of applications, ranging from oil/water partitioning and miscibility data to complex molecular systems, involving protein-protein and protein-lipid interactions and material science applications as ionic liquids and aedamers.
The primary oxidant of cytochrome P450 enzymes, Compound I, is hard to detect experimentally; in the case of cytochrome P450(cam), this intermediate does not accumulate in solution during the catalytic cycle even at temperatures as low as 200 K (ref 4). Theory can play an important role in characterizing such elusive species. We present here combined quantum mechanical/molecular mechanical (QM/MM) calculations of Compound I of cytochrome P450(cam) in the full enzyme environment as well as density functional studies of the isolated QM region. The calculations assign the ground state of the species, quantify the effect of polarization and hydrogen bonding on its properties, and show that the protein environment and its specific hydrogen bonding to the cysteinate ligand are crucial for sustaining the Fe-S bond and for preventing the full oxidation of the sulfur.
A major complication in hybrid QM/MM methods is the treatment of the frontier between the quantum part, describing the reactive region, and the classical part, describing the environment. Two approaches to this problem, the “link atom” method and the “local self-consistent field” (LSCF) formalism, are compared in this paper. For this purpose, the LSCF formalism has been introduced into the CHARMM program. A detailed description of the two approaches is presented. The results of semiempirical calculations of deprotonation enthalpies and proton affinities of propanol and a tripeptide with different treatments of the frontier bond are compared. Particular emphasis is placed on the effect of an external charge. It is shown that the choice of the QM/MM electronic interactions included in the frontier region is of considerable importance in determining the electron distribution of the QM region and the overall energy. The link atom and LSCF methods are generally of similar accuracy if care is taken in the choice of the frontier between the QM and MM regions. QM and QM/MM geometry optimizations of ethane and butane are also compared. The introduction of a link atom in the frontier bond is shown to lead to distortions of the internal coordinates unless the frontier bond is treated in a special way. A number of practical points concerning the choice of the frontier between the QM and MM regions are presented. It is not advisable to remove classical charges from the interactions with a subset of the quantum atoms, as this can introduce significant errors in the energy computations. The presence of a large charge on the classical atom involved in the QM/MM frontier also adversely influences the energy, especially with the LSCF method, and it is therefore advised to select classical frontier atoms with small charges. Charged atoms which are not directly bound to the QM frontier but which are in its proximity are also shown to be a source of errors, and it is advised to introduce warning messages in QM-MM codes when such a situation arises.
Cytosolic proliferating cell nuclear antigen (PCNA) binds to procaspases and protects human neutrophils from apoptosis.
Amphitropic proteins, such as the virulence factor phosphatidylinositol-specific phospholipase C (PI-PLC) from Bacillus thuringiensis, often depend on lipid-specific recognition of target membranes. However, the recognition mechanisms for zwitterionic lipids such as phosphatidylcholine, which is enriched in the outer leaflet of eukaryotic cells, are not well understood. A 500 nanosecond long molecular dynamics simulation of PI-PLC at the surface of a lipid bilayer revealed a strikingly high number of interactions between tyrosines at the interfacial binding site and lipid choline groups with structures characteristic of cation-π interactions. Membrane affinities of PI-PLC tyrosine variants mostly tracked the simulation results, falling into two classes: (i) those with minor losses in affinity, Kd(mutant)/Kd(wildtype)≤5, and (ii) those where the apparent Kd was 50-200 times higher than wildtype. Estimating ΔΔG for these Tyr/PC interactions from the apparent Kd values reveals that the free energy associated with class I is ~1 kcal/mol, comparable to the value predicted by the Wimley-White hydrophobicity scale. In contrast, removal of class II tyrosines has a higher energy cost: ~2.5 kcal/mol towards pure PC vesicles. These higher energies correlate well with the occupancy of the cation-π adducts throughout the MD simulation. Together, these results strongly indicate that PI-PLC interacts with PC headgroups via cation-π interactions with tyrosine residues, and suggest that cation-π interactions at the interface may be a mechanism for specific lipid recognition by amphitropic and membrane proteins.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.