Rational Design of P450 aMOx for Improving Anti-Markovnikov Selectivity Based on the "Butterfly" Model.

Aromatic aldehydes are important industrial raw materials mainly synthesized by anti-Markovnikov (AM) oxidation of corresponding aromatic olefins. The AM product selectivity remains a big challenge. P450 aMOx is the first reported enzyme that could catalyze AM oxidation of aromatic olefins. Here, we reported a rational design strategy based on the "butterfly" model of the active site of P450 aMOx. Constrained molecular dynamic simulations and a binding energy analysis of key residuals combined with an experimental alanine scan were applied. As a result, the mutant A275G showed high AM selectivity of >99%. The results also proved that the "butterfly" model is an effective design strategy for enzymes.

Investigating mechanism of sweetness intensity differences through dynamic analysis of sweetener-T1R2-membrane systems.

Knowing the mechanism of action of sweet taste receptors is important for the design of new, healthy sweeteners. However, little is known about the structures and recognition mechanisms of these receptors. 28 sweeteners were assessed by molecular docking, and 8 typical sweeteners were chosen to construct sweetener-T1R2-membrane systems to analyze interactions between receptor and sweeteners. Natural sweeteners with low-intensity sweetness, such as fructose and xylitol, were released from the Venus flytrap domain at ∼30 ns, with displacements greater than 50 Å. In contrast, artificial neotame and advantame bound stably to the receptor, within 5 Å. Van der Waals interactions were significant in high-intensity sweetener systems, imparting an energy difference of over 15 kcal/mol between neotame (artificial sweetener) and fructose (natural). These results provide a deeper understanding of the mechanisms of sweetener function and offer a new direction for the design of sweeteners.

Anchor-Locker Binding Mechanism of the Coronavirus Spike Protein to Human ACE2: Insights from Computational Analysis.

COVID-19 has emerged as the most serious international pandemic in early 2020 and the lack of comprehensive knowledge in the recognition and transmission mechanisms of this virus hinders the development of suitable therapeutic strategies. The specific recognition during the binding of the spike glycoprotein (S protein) of coronavirus to the angiotensin-converting enzyme 2 (ACE2) in the host cell is widely considered the first step of infection. However, detailed insights on the underlying mechanism of dynamic recognition and binding of these two proteins remain unknown. In this work, molecular dynamics simulation and binding free energy calculation were carried out to systematically compare and analyze the receptor-binding domain (RBD) of six coronavirus' S proteins. We found that affinity and stability of the RBD from SARS-CoV-2 under the binding state with ACE2 are stronger than those of other coronaviruses. The solvent-accessible surface area (SASA) and binding free energy of different RBD subunits indicate an "anchor-locker" recognition mechanism involved in the binding of the S protein to ACE2. Loop 2 (Y473-F490) acts as an anchor for ACE2 recognition, and Loop 3 (G496-V503) locks ACE2 at the other nonanchoring end. Then, the charged or long-chain residues in the ß-sheet 1 (N450-F456) region reinforce this binding. The proposed binding mechanism was supported by umbrella sampling simulation of the dissociation process. The current computational study provides important theoretical insights for the development of new vaccines against SARS-CoV-2.