In silico analysis of heparin and chondroitin sulfate binding mechanisms of the antiprotozoal drug berenil and pentamidine

Spermine and spermidine SI-PPCs: Molecular dynamics reveals enhanced biomolecular interactions

In this paper the effects on the interaction of highly positively charged substitution-inert platinum polynuclear complexes (SI-PPCs) with negatively charged DNA and heparin are examined and compared by theoretical chemistry methods. Electrostatic and hydrogen bonding interactions contribute to the overall effects on the biomolecule. Root Mean Square (RMS) deviation, Solvent Accessible Surface, RMS fluctuation, and interaction analysis all confirm similar effects on both biomolecules, dictated predominantly by the total positive charge and total number of hydrogen bonds formed. Especially, changes in structural parameters suggesting condensation and reduction of available surface area will reduce or prevent normal protein recognition and may thus potentially inhibit biological mechanisms related to apoptosis (DNA) or reduced vascularization viability (HEP). Thermodynamic analyses supported these findings with favourable interaction energies. The comparison of DNA and heparin confirms the general intersectionality between the two biomolecules and confirms the intrinsic dual-nature function of this chemotype. The distinction between the two-limiting mode of actions (HS or DNA-centred) could reflect an intriguing balance between extracellular (GAG) and intracellular (DNA) binding and affinities. The results underline the need to fully understand GAG-small molecule interactions and their contribution to drug pharmacology and related therapeutic modalities. This report contributes to that understanding.

Molecular Dynamics Simulation-Based Prediction of Glycosaminoglycan Interactions with Drug Molecules

Glycosaminoglycans (GAGs) are a class of long linear anionic periodic polysaccharides. Their biological activities are very broad including tissue remodeling, regulation of cell proliferation, cell migration, cell differentiation, participation in bacterial/viral infections, and immune response. They can interact with many important biomolecular partners in the extracellular matrix of the cell including small drug molecules. Recently, several GAG-bioactive small molecule complexes have been experimentally and theoretically studied. Some of these compounds in complexes with GAGs may potentially interfere with protein-GAG or peptide-GAG multimolecular systems affecting the processes of cellular differentiation or have anti-inflammatory, antiviral as well as antithrombotic effects. Although many studies have been conducted on GAG-drug complexes, the molecular mechanisms of the formation of such complexes are still poorly understood. At the same time, the complexity of their physicochemical properties renders the use of both experimental and computational methods to study these molecular systems challenging. Here, we present the molecular dynamics-based protocols successfully employed to in silico analyze GAG-small molecule interactions.

Molecular Dynamics Approaches Dissect Molecular Mechanisms Underlying Methylene Blue-Glycosaminoglycan Interactions

Glycosaminoglycans (GAGs) are a class of periodic anionic linear polysaccharides involved in a number of biologically relevant processes in the extracellular matrix via interactions with various types of molecules including proteins, peptides and small organic molecules. The metachromatic dye methylene blue (MB) is a GAG binding agent. This molecule possesses a tricyclic, monocationic phenothiazine ring system, while the terminal methyl groups attached to the nitrogen atoms bear the most positive charges of the cation and, therefore, represent potential binding sites for negatively charged GAGs. In this study, we rigorously explored molecular mechanisms underlying these interactions for several GAG types: heparin, heparan and chondroitin sulfates. We found that GAG-MB interactions are predominantly electrostatically driven, with the particularly important role of sulfate groups. MB oligomeric stack formation was favored in the presence of GAGs. Furthermore, the impact of MB binding on the conformation of GAGs was also evaluated. The novel results allow for better quantitative analytics of GAG composition in the studied biochemical systems using MB dye as a GAG-specific marker. Our data add to the knowledge on small molecule-GAG interactions and could be potentially useful for novel developments in drug design and putative disease therapies in which GAGs are involved.

Computational insights into heparin-small molecule interactions: Evaluation of the balance between stacking and non-stacking binding modes

Glycosaminoglycans (GAGs), anionic periodic linear polysaccharides, are involved in a manifold of key biochemical processes ongoing in the extracellular matrix via establishing direct intermolecular interactions with diverse classes of biopolymers as well as with bioactive small molecules. Due to their acidic nature, they are capable of binding positively charged ligands, which, in turn could affect their binding with protein and peptide targets, modulating a number of physiologically important signaling pathways. Therefore, it is of great significance to improve our understanding on the molecular basis underlying GAG-small molecule interactions. In this study, we applied in silico approaches (molecular dynamics and free energy calculations) complemented with circular dichroism and absorption spectroscopy to characterize the complex formation between heparin, one of the principal members of GAG family, and twenty different cationic ligands including therapeutic drugs, alkaloids and organic dyes. In particular, the oligomerization propensity of ligands prior to heparin binding, binding free energy parameters, effects of the ionic strength are rigorously described. Based on the performed analysis, the ligands are classified into three main groups depending on their heparin binding and oligomerization properties. The computational data agree and provide rationale for the corresponding experimental findings, contributing to the general knowledge of the physico-chemical nature of ligand-GAG intermolecular interactions.