Theoretical investigations of free energy of binding and chiral recognition studies of (R)- and (S)-Noradrenaline towards β-cyclodextrin

Elucidation of molecular recognition of catecholamine enantiomer by cyclodextrin combined ion mobility spectrometry and theoretical calculation

Catecholamines, as important neurotransmitter and clinical drugs, have a wide range of regulatory roles in physiological activities. The recognition of catecholamine enantiomer (CE) and the elucidation of recognition mechanism are of great significance for the in-depth understanding of biomolecular interactions. This work reveals the molecular recognition mechanism of cyclodextrin (CD) towards CEs through experimental measurements of ion mobility spectrometry (IMS) and theoretical studies including molecular dynamics (MD) simulation and quantum chemical (QC) calculation. The CEs can be discriminated by constructing multi-nary non-covalent complex with CDs by IMS. MD simulation confirm the binding behavior and conformation preference of binary complexes with CEs and α-CD, and further QC calculation optimize the gas-phase ion structure, demonstrate the differences in geometry and energy. Visualization of non-covalent interactions (NCI) resolve the regions and features of intermolecular interactions and illustrate that recognition originates from different contribution of hydrogen bonds between the chiral center of CE and the larger rim of α-CD. Further topological analysis indicates that the difference in the sum of effective hydrogen bond energies has a positive correlation with the recognition efficiency. This work provides new approach for structure elucidation of supramolecular complexes and mechanism elucidation of molecular recognition under the guidance of IMS.

Theoretical screening and electrochemical sensor for determination of norepinephrine using a molecularly imprinted poly (3-amiophenylboronic acid)

Norepinephrine (NE) is the primary catecholamine (CA) of interest in the medical field, as it plays a key role in regulating the hormonal and neurological systems. Some NE concentration dysfunction can lead to a number of serious physical conditions. As a result, quick and sensitive NE detection is most critical in medical technology. Thus, in this research, a molecularly imprinted polymer (MIP) was used to create an electrochemical sensor for the selective detection of NE. Prior to this, functional monomers were chosen through molecular modeling utilizing molecular mechanics and quantum mechanics computations. According to these studies, the 3-aminophenylboronic acid (3-APBA) functional monomer produces the most stable complex with NE in molecular modeling calculations. Based on this, by electropolymerizing 3-APBA in the presence of the template molecule NE, an imprinting polymer film is formed on the screen-printed carbon electrode (SPCE) surface. Stepwise fabrication of imprinted polymer films was examined through differential pulse voltammetry (DPV), cyclic voltammetry (CV), scanning electron microscopy (SEM), and electrochemical impedance spectroscopy (EIS). The performance of the electrochemical NE sensor removal and rebinding levels of the template was studied and optimized. The selectivity for NE was confirmed by using interference studies of small molecules like dopamine, tyrosine, and serotonin. Under optimum levels, the fabricated MIP sensor had a broad linear range over NE concentrations of 0.1 pM-5 pM; sensitivity: 0.004 mA pM-1; limit of detection: 0.03 pM. It is noteworthy that the newly created MIP sensor was effectively validated for NE detection in plasma samples.

Prioritizing Computational Cocrystal Prediction Methods for Experimental Researchers: A Review to Find Efficient, Cost-Effective, and User-Friendly Approaches

Pharmaceutical cocrystals offer a versatile approach to enhancing the properties of drug compounds, making them an important tool in drug formulation and development by improving the therapeutic performance and patient experience of pharmaceutical products. The prediction of cocrystals involves using computational and theoretical methods to identify potential cocrystal formers and understand the interactions between the active pharmaceutical ingredient and coformers. This process aims to predict whether two or more molecules can form a stable cocrystal structure before performing experimental synthesis, thus saving time and resources. In this review, the commonly used cocrystal prediction methods are first overviewed and then evaluated based on three criteria: efficiency, cost-effectiveness, and user-friendliness. Based on these considerations, we suggest to experimental researchers without strong computational experiences which methods and tools should be tested as a first step in the workflow of rational design of cocrystals. However, the optimal choice depends on specific needs and resources, and combining methods from different categories can be a more powerful approach.

Computational modelling and optimization studies of electropentamer for molecular imprinting of DJ-1

Parkinson's disease (PD) is the most prevalent type of incurable movement disorder. Recent research findings propose that the familial PD-associated molecule DJ-1 exists in cerebrospinal fluid (CSF) and that its levels may be altered as Parkinson's disease advances. By using a molecularly imprinted polymer (MIP) as an artificial receptor, it becomes possible to create a functional MIP with predetermined selectivity for various templates, particularly for the DJ-1 biomarker associated with Parkinson's disease. It mostly depends on molecular recognition via interactions between functional monomers and template molecules. So, the computational methods for the appropriate choice of functional monomers for creating molecular imprinting electropolymers (MIEPs) with particular recognition for the detection of DJ-1, a pivotal biomarker involved in PD, are undertaken in this study. Here, molecular docking, molecular dynamics simulations (MD), molecular mechanics Poisson-Boltzmann surface area (MM-PBSA) methods, and quantum mechanical calculation have been applied to investigate the intermolecular interaction between DJ-1 and several functional electropentamers, viz., polypyrrole (PPy), poly(3,4-ethylenedioxythiophene) (PEDOT), poly(o-aminophenol) (POAP), and polythiophene (PTS). In this context, the electropentamers were selected to mimic the imprinted electropolymer system. We analyzed the most stable configurations of the formed complexes involving DJ-1 and electropentamers as a model system for MIEPs. Among these, PEDOT exhibited a more uniform arrangement around DJ-1, engaging in numerous van der Waals, H-bond, electrostatic, and hydrophobic interactions. Hence, it can be regarded as a preferable choice for synthesizing a MIP for DJ-1 recognition. Thus, it will aid in selecting a suitable functional monomer, which is of greater significance in the design and development of selective DJ-1/MIP sensors.

Update on chiral recognition mechanisms in separation science

The stereospecific analysis of chiral molecules is an important issue in many scientific fields. In separation sciences, this is achieved via the formation of transient diastereomeric complexes between a chiral selector and the selectand enantiomers driven by molecular interactions including electrostatic, ion-dipole, dipole-dipole, van der Waals or π-π interactions as well as hydrogen or halogen bonds depending on the nature of selector and selectand. Nuclear magnetic resonance spectroscopy and molecular modeling methods are currently the most frequently applied techniques to understand the selector-selectand interactions at a molecular level and to draw conclusions on the chiral separation mechanism. The present short review summarizes some of the recent achievements for the understanding of the chiral recognition of the most important chiral selectors combining separation techniques with molecular modeling and/or spectroscopic techniques dating between 2020 and early 2024. The selectors include polysaccharide derivatives, cyclodextrins, macrocyclic glycopeptides, proteins, donor-acceptor type selectors, ion-exchangers, crown ethers, and molecular micelles. The application of chiral ionic liquids and chiral deep eutectic solvents, as well as further selectors, are also briefly addressed. A compilation of all published literature on chiral selectors has not been attempted.