An Algorithm-Based Investigation to Reveal the Differential Dynamics of Water inside Protein Cavities as a Function of Distance from Their Wall

Water dynamics within protein cavities influence cavity function, but the principles governing this remain poorly understood. Determining the number of water molecules and characterizing their behavior inside cavities are challenging despite biophysical advances. While molecular dynamics (MD) simulations offer insights into cavity-confined water, they are computationally expensive to study due to the short-lived nature and abundance of water-protein interactions. To address this, we present a multiprocessed algorithm that detects water inside protein cavities based on its distance from the cavity wall and analyzes its dynamics through residence times, orientational behavior, and diffusion. This software-independent method is capable of analyzing systems with millions of atoms in real time. Using molecular dynamics simulations, our algorithm distinguishes water inside the cavity from bulk water surrounding the protein with 1 Å resolution. We validate the method on multiple cavity-containing proteins and demonstrate its utility in understanding the biological role of water within the cavity of an archaeal group II chaperonin.

In Silico Strategies for Characterizing Inner Cavities of Lipid-Binding Proteins

Cavities in proteins perform diverse functions such as substrate binding, enzyme catalysis, passage for transportation of small molecules, and protein oligomerization. Often, the physical properties of these cavities are closely linked to the protein function; such as the hydrophobic lipid-binding cavities in lipid-binding proteins (LBPs) that protect lipid substrates from the larger aqueous milieu. Therefore, the characterization of protein cavities can provide valuable insights into protein structure-function relationships, hinting toward their mechanism of action while aiding in the identification of ligand binding sites that are essential for drug discovery approaches. Several algorithms have historically been designed to identify and characterize the different types of cavities in protein structures. We summarize these algorithms and provide a step-by-step guide for locating and characterizing internal cavities in proteins using CICLOP by using ATP-binding cassette transporter A1 (ABCA1) as an example.

Tunnel engineering of gas-converting enzymes for inhibitor retardation and substrate acceleration

Carbon monoxide dehydrogenase (CODH), formate dehydrogenase (FDH), hydrogenase (H2ase), and nitrogenase (N2ase) are crucial enzymatic catalysts that facilitate the conversion of industrially significant gases such as CO, CO2, H2, and N2. The tunnels in the gas-converting enzymes serve as conduits for these low molecular weight gases to access deeply buried catalytic sites. The identification of the substrate tunnels is imperative for comprehending the substrate selectivity mechanism underlying these gas-converting enzymes. This knowledge also holds substantial value for industrial applications, particularly in addressing the challenges associated with separation and utilization of byproduct gases. In this comprehensive review, we delve into the emerging field of tunnel engineering, presenting a range of approaches and analyses. Additionally, we propose methodologies for the systematic design of enzymes, with the ultimate goal of advancing protein engineering strategies.

In Silico Characterization of the Physicochemical and Biological Properties of the Pink (Pleurotus djamor var. salmoneostramineus) Oyster Mushroom Chromoprotein

Cap color is an important commercial trait for oyster mushrooms. Various pigment constituents determine a diverse color. However, the pigments of oyster mushrooms are still ambiguous. The pink oyster mushroom (Pleurotus salmoneostramineus or Pleurotus djamor) chromoprotein is one of the few proteins belonging to this fungus that has a record of its sequence of amino acid residues. However, even though there are studies about this chromoprotein isolation, purification, and crystallization, the current information focused on its 3-dimensional model and the cofactor and prosthetic group (3H-indol-3-one) binding sites is unreliable and fragmented. Therefore, in this study, using free online servers such as Prot pi, GalaxyWEB, MIB, and CB-Dock2, a structural analysis and the prediction of its physicochemical and biological properties were conducted, to understand the possible function of this chromoprotein. The obtained results showed that this molecule is a protein with a molecular weight of 23 712.5 Da, an isoelectric point of 7.505, with oligomerization capacity in a dimer and glycation in the Ser6 residue. In addition, the participation of the residues Leu5, Leu8, Lys211, Ala214, and Gln215 in the binding of the prosthetic group to the protein was highlighted; as well as Ser6 and Pro7 are important residues for the interaction of the Mg²⁺ ion and eumelanin. Likewise, morphological changes based on different culture conditions (light/dark) showed that this protein is constitutive expressed and independent of blue light. The findings in this study demonstrate that pink chromoprotein is a melanosomal protein, and it possibly has a critical role in melanogenesis and the melanin polymerization. However, more experimental studies are needed to predict a possible mechanism of action and type of enzymatic activity.

Conserved and divergent chaperoning effects of Hsp60/10 chaperonins on protein folding landscapes

The GroEL/ES chaperonin cavity surface charge properties, especially the negative charges, play an important role in its capacity to assist intracavity protein folding. Remarkably, the larger fraction of GroEL/ES negative charges are not conserved among different bacterial species, resulting in a large variation in negative-charge density in the GroEL/ES cavity across prokaryotes. Intriguingly, eukaryotic GroEL/ES homologs have the lowest negative-charge density in the chaperonin cavity. This prompted us to investigate if GroEL’s chaperoning mechanism changed during evolution. Using a model in vivo GroEL/ES substrate, we show that the ability of GroEL/ES to buffer entropic traps in the folding pathway of its substrate was partially dependent upon the negative-charge density inside its cavity. While this activity of GroEL/ES was found to be essential for Escherichia coli, it has been perfected in some organisms and diminished in others. However, irrespective of their charges, all the tested homologs retained their ability to regulate polypeptide chain collapse and remove enthalpic traps from folding pathways. The ability of these GroEL/ES homologs to buffer mutational variations in a model substrate correlated with their negative-charge density. Thus, Hsp60/10 chaperonins in different organisms may have changed to accommodate a different spectrum of mutations on their substrates.