Folding profiles of antimicrobial scorpion venom-derived peptides on hydrophobic surfaces: a molecular dynamics study

A Critical Review of Short Antimicrobial Peptides from Scorpion Venoms, Their Physicochemical Attributes, and Potential for the Development of New Drugs

Scorpion venoms have proven to be excellent sources of antimicrobial agents. However, although many of them have been functionally characterized, they remain underutilized as pharmacological agents, despite their evident therapeutic potential. In this review, we discuss the physicochemical properties of short scorpion venom antimicrobial peptides (ssAMPs). Being generally short (13-25 aa) and amidated, their proven antimicrobial activity is generally explained by parameters such as their net charge, the hydrophobic moment, or the degree of helicity. However, for a complete understanding of their biological activities, also considering the properties of the target membranes is of great relevance. Here, with an extensive analysis of the physicochemical, structural, and thermodynamic parameters associated with these biomolecules, we propose a theoretical framework for the rational design of new antimicrobial drugs. Through a comparison of these physicochemical properties with the bioactivity of ssAMPs in pathogenic bacteria such as Staphylococcus aureus or Acinetobacter baumannii, it is evident that in addition to the net charge, the hydrophobic moment, electrostatic energy, or intrinsic flexibility are determining parameters to understand their performance. Although the correlation between these parameters is very complex, the consensus of our analysis suggests that there is a delicate balance between them and that modifying one affects the rest. Understanding the contribution of lipid composition to their bioactivities is also underestimated, which suggests that for each peptide, there is a physiological context to consider for the rational design of new drugs.

Molecular Dynamic Simulations for Biopolymers with Biomedical Applications

Computational modeling (CM) is a versatile scientific methodology used to examine the properties and behavior of complex systems, such as polymeric materials for biomedical bioengineering. CM has emerged as a primary tool for predicting, setting up, and interpreting experimental results. Integrating in silico and in vitro experiments accelerates scientific advancements, yielding quicker results at a reduced cost. While CM is a mature discipline, its use in biomedical engineering for biopolymer materials has only recently gained prominence. In biopolymer biomedical engineering, CM focuses on three key research areas: (A) Computer-aided design (CAD/CAM) utilizes specialized software to design and model biopolymers for various biomedical applications. This technology allows researchers to create precise three-dimensional models of biopolymers, taking into account their chemical, structural, and functional properties. These models can be used to enhance the structure of biopolymers and improve their effectiveness in specific medical applications. (B) Finite element analysis, a computational technique used to analyze and solve problems in engineering and physics. This approach divides the physical domain into small finite elements with simple geometric shapes. This computational technique enables the study and understanding of the mechanical and structural behavior of biopolymers in biomedical environments. (C) Molecular dynamics (MD) simulations involve using advanced computational techniques to study the behavior of biopolymers at the molecular and atomic levels. These simulations are fundamental for better understanding biological processes at the molecular level. Studying the wide-ranging uses of MD simulations in biopolymers involves examining the structural, functional, and evolutionary aspects of biomolecular systems over time. MD simulations solve Newton's equations of motion for all-atom systems, producing spatial trajectories for each atom. This provides valuable insights into properties such as water absorption on biopolymer surfaces and interactions with solid surfaces, which are crucial for assessing biomaterials. This review provides a comprehensive overview of the various applications of MD simulations in biopolymers. Additionally, it highlights the flexibility, robustness, and synergistic relationship between in silico and experimental techniques.

Computational studies of membrane pore formation induced by Pin2

Understanding, at the molecular level, the effect of AMPs on biological membranes is of crucial importance given the increasing number of multidrug-resistant bacteria. Being part of an ancient type of innate immunity system, AMPs have emerged as a potential solution for which bacteria have not developed resistance. Traditional antibiotics specifically act on biosynthetic pathways, while AMPs may directly destabilize the lipid membrane, but it is unclear how AMPs affect the membrane's stability. We performed multiscale molecular dynamics simulations to investigate the structural features leading to membrane pores formation on zwitterionic and anionic membranes by the antimicrobial peptide (AMP) Pandinin 2 (Pin2). Some experimental reports propose that Pin2 could form barrel-stave pores, while others suggest that it could form toroidal pores. Since there is no conclusive evidence of which type of pore is formed by Pin2 on bilayers, performing molecular dynamics simulations on these systems could shed some light on whether or not or what type of pore Pin2 forms on model membranes. Our results are focused on a detailed description of the pore formation by Pin2 in POPC and POPE:POPG membranes., which strongly suggest that Pin2 forms a toroidal pore and not a barrel-shaped pore; this type of pore also affects the membrane properties. In the process, a phospholipid remodeling in the POPE:POPG membrane takes place. Moreover, the pores formed by Pin2 indicate that they are selective for the chlorine ion. There are no previous ion selectivity reports for other AMPs with similar physicochemical properties, such as melittin and magainin.Communicated by Ramaswamy H. Sarma.