Lysine Deacetylase Substrate Selectivity: A Dynamic Ionic Interaction Specific to KDAC8

Lysine Deacetylase Substrate Selectivity: Distinct Interaction Surfaces Drive Positive and Negative Selection for Residues Following Acetyllysine

Lysine acetylation is a post-translational modification that is reversed by lysine deacetylases (KDACs). The goal of this work was to identify determinants of substrate specificity for KDACs, focusing on short-range interactions occurring with residues immediately following the acetyllysine. Using a fluorescence-based in vitro assay, we determined the activity for each enzyme with a limited panel of derivative substrate peptides, revealing a distinct reactivity profile for each enzyme. We mapped the interaction surface for KDAC6, KDAC8, and KDAC1 with the +1 and +2 substrate residues (with respect to acetyllysine) based on enzyme-substrate interaction pairs observed in molecular dynamics simulations. Characteristic residues in each KDAC interact preferentially with particular substrate residues and correlate with either enhanced or inhibited activity. Although nonpolar aromatic residues generally enhanced activity with all KDACs, the manner in which each enzyme interacted with these residues is distinct. Furthermore, each KDAC has distinctive interactions that correlate with lower activity, primarily ionic in nature. KDAC8 exhibited the most diverse and widest range of effects, while KDAC6 was sensitive only to the +1 position and KDAC1 selectivity was primarily driven by negative selection. The substrate preferences were validated for KDAC6 and KDAC8 using a set of peptides derived from known acetylated proteins. Overall, we determined how KDAC6, KDAC8, and KDAC1 achieve substrate specificity with residues following the acetyllysine. These new insights into KDAC specificity will be critical for identifying novel substrates of particular KDACs, designing KDAC-specific inhibitors, and demonstrate a general framework for understanding substrate specificity for other enzyme classes.

The inhibitory effect and mechanism of small molecules on acetic anhydride-induced BSA acetylation and aggregation

Protein acetylation is a significant post-translational modification, and hyperacetylation results in amyloid aggregation, which is closely related to neurodegenerative diseases (Alzheimer's disease, Huntington's disease, and so on). Therefore, it is significant to inhibit the hyperacetylation of proteins and their induced aggregation. In the present study, we aimed to explore the anti-acetylation and anti-amyloid properties of five small molecules (gallic acid, menadione, resveratrol, apigenin, and quercetin) in the process of acetic anhydride-induced protein hyperacetylation and its aggregation. Optical detection methods, such as SDS-PAGE, inverted fluorescence microscopy, and endogenous fluorescence spectroscopy, were used to investigate the effects of small molecules on protein acetylation, aggregation, and structure. In addition, fluorescence quenching and molecular docking techniques were used to explore the relationship between small molecules and acetylation. The results showed that gallic acid (200 μM), menadione (100 μM), quercetin (40 μM), resveratrol (5 μM), and apigenin (20 μM) (unmodified rates were 61.12 %, 67.76 %, 65.11 %, 62.66 %, and 67.81 %, respectively) had strong inhibitory effects on acetylation, and there was no significant difference (P < 0.05). In addition, gallic acid (200 μM), menadione (100 μM), and resveratrol (5 μM) (inhibition rates of 29.89 %, 26.53 %, and 26.09 %, respectively) had more substantial inhibitory effects on protein aggregation, indicating that the five small molecules could inhibit acetic anhydride-induced hyperacetylation and protein aggregation. The underlying mechanism might be that it could inhibit hyperacetylation and resist amyloid aggregation by interacting with proteins to occupy acetylation sites. Collectively, our findings showed that gallic acid, menadione, and resveratrol could potentially prevent and treat neurodegenerative diseases, such as Alzheimer's disease, by inhibiting acetylation and acetylation-induced aggregation.

Computer Simulation of the Interaction between SARS-CoV-2 Spike Protein and the Surface of Coinage Metals

A prominent feature of the SARS-CoV-2 virus is the presence of a large glycoprotein spike protruding from the virus envelope. The spike determines the interaction of the virus with the environment and the host. Here, we used an all-atom molecular dynamics simulation method to investigate the interaction of up- and down-conformations of the S1 subunit of the SARS-CoV-2 spike with the (100) surface of Au, Ag, and Cu. Our results revealed that the spike protein is adsorbed onto the surface of these metals, with Cu being the metal with the highest interaction with the spike. In our simulations, we considered the spike protein in both its up-conformation S^up (one receptor binding domain exposed) and down-conformation S^down (no exposed receptor binding domain). We found that the affinity of the metals for the up-conformation was higher than their affinity for the down-conformation. The structural changes in the spike in the up-conformation were also larger than the changes in the down-conformation. Comparing the present results for metals with those obtained in our previous MD simulations of S^up with other materials (cellulose, graphite, and human skin models), we see that Au induces the highest structural change in S^up, larger than those obtained in our previous studies.

Molecular Dynamics Simulations of Adsorption of SARS-CoV-2 Spike Protein on Polystyrene Surface

A prominent feature of coronaviruses is the presence of a large glycoprotein spike (S) protruding from the viral particle. The specific interactions of a material with S determine key aspects such as its possible role for indirect transmission or its suitability as a virucidal material. Here, we consider all-atom molecular dynamics simulations of the interaction between a polymer surface (polystyrene) and S in its up and down conformations. Polystyrene is a commonly used plastic found in electronics, toys, and many other common objects. Also, previous atomic force microscopy (AFM) experiments showed substantial adhesion of S over polystyrene, stronger than in other common materials. Our results show that the main driving forces for the adsorption of the S protein over polystyrene were hydrophobic and π–π interactions with S amino acids and glycans. The interaction was stronger for the case of S in the up conformation, which exposes one highly flexible receptor binding domain (RBD) that adjusts its conformation to interact with the polymer surface. In this case, the interaction has similar contributions from the RBD and glycans. In the case of S in the down conformation, the interaction with the polystyrene surface was weaker and it was dominated by glycans located near the RBD. We do not find significant structural changes in the conformation of S, a result which is in deep contrast to our previous results with another hydrophobic surface (graphite). Our results suggest that SARS-CoV-2 virions may adsorb strongly over plastic surfaces without significantly affecting their infectivity.

Characterization of the class IIa histone deacetylases substrate specificity

Class IIa histone deacetylases (HDACs) play critical roles in vertebrate development and physiology, yet direct evidence of their intrinsic deacetylase activity and on substrate specificity regarding the peptide sequence is still missing. In this study, we designed and synthesized a combinatorial peptide library allowing us to profile class IIa HDACs sequence specificity at positions +3 through -3 from the central lysine modified by the well-accepted trifluoroacetyl function. Our data revealed a strong preference for bulky aromatic acids directly flanking the central trifluoroacetyllysine, while all class IIa HDACs disfavor positively charged residues and proline at the +1/-1 positions. The chemical nature of amino acid residues N-terminally to the central trifluoroacetyllysine has a more profound effect on substrate recognition as compared to residues located C-terminally. These findings were validated by designing selected favored and disfavored peptide sequences, with the favored ones are accepted with catalytic efficacy of 75 000 and 525 000 M^-1  s^-1 for HDAC7 and HDAC5, respectively. Results reported here could help in developing class IIa HDACs inhibitors and also in the search for new natural class IIa HDACs substrates.