A computational approach on the stereoselective binding of peptides from aqueous medium with endo-functionalized molecular tubes

The need to obtain enantiomerically pure isomers of amino acids and peptides is often realized in the field of biology and in the pharmaceutical industry. Research is underway to devise simple methods for the chiral resolution of amino acids from their racemic mixtures. Inspired by this objective, in our present work, we have computationally shown the possibility of chiral separation of the enantiomeric pairs of two model peptides, namely, (D,L)-aspargine and (D,L)-phenylalanine, in the presence of water. For this purpose, we have used two synthetic supramolecular receptors named host-1a and host-1b, respectively. Molecular dynamics simulations and quantum chemical methods are employed to analyze the structural features and the energy aspects involved in the separation process. The information obtained at the molecular level helps us gain better insights into the key interactions that operate to produce such enantioselectivity. We have also investigated the dynamics and changes in the water structure in the vicinity of the host molecules, both in the presence and absence of the model peptides. The D- and L-isomers of the same peptide undergo complexation with a particular host molecule registering a difference of more than 1.5 kcal mol^-1 (obtained from PMF and MM-PBSA analyses) in their respective energies. This indicates that the chiral separation of the peptides with the help of these endo-fuctionalized molecular tube receptors may be energetically feasible. The connection between the peptide stereochemistry and its interaction with the endo-functionalized hosts would be instrumental in designing novel segregation techniques that can be further extended to separate larger model peptides or proteins.

Exploration on the drug solubility enhancement in aqueous medium with the help of endo-functionalized molecular tubes: a computational approach

One major problem in the pharmaceutical industry is the aqueous solubility of newly developed orally administered drug candidates. More than 50% of newly developed drug molecules suffer from low aqueous solubility. The therapeutic effects of drug molecules are majorly dependent on the bioavailability and, in essence, on the solubility of the used drug molecules. Thus, enhancement of drug solubility of sparingly soluble drug molecules is a need of modern times. Considering the high importance of drug solubility, we have computationally shown the enhancement of drug solubility for seven class II (poorly water-soluble) drug molecules in a water medium. The uses of supramolecular macrocycles have immense importance in the same field. Thus, we have used two synthetic supramolecular receptors named host-1a and host-1b to enhance the water solubility of fluorouracil, albendazole, camptothecin, clopidogrel, indomethacin, melphalan, and tolfenamic acid drug molecules. Biomedical engagements of a supramolecular receptor commence with the formation of stable host-drug complexes. These complexations enhance the water solubility of drug molecules and sustain the release rate and bioavailability of drug molecules. Thus, in this work, we focus on the formation of stable host-drug complexes in water medium. Molecular dynamics simulation is applied to analyze the structural features and the energetics involved in the host-drug complexation process. The information obtained at the atomistic level helps us gain better insights into the key interactions that operate to produce such highly stable complexes. Thus, we can propose that these two supramolecular receptors may be used as drug solubilizing agents, and patients will benefit from this theragnostic application shortly.

Recent advances in computational methods for biosensor design

Biosensors are analytical tools with a great application in healthcare, food quality control, and environmental monitoring. They are of considerable interest to be designed by using cost-effective and efficient approaches. Designing biosensors with improved functionality or application in new target detection has been converted to a fast-growing field of biomedicine and biotechnology branches. Experimental efforts have led to valuable successes in the field of biosensor design; however, some deficiencies restrict their utilization for this purpose. Computational design of biosensors is introduced as a promising key to eliminate the gap. A set of reliable structure prediction of the biosensor segments, their stability, and accurate descriptors of molecular interactions are required to computationally design biosensors. In this review, we provide a comprehensive insight into the progress of computational methods to guide the design and development of biosensors, including molecular dynamics simulation, quantum mechanics calculations, molecular docking, virtual screening, and a combination of them as the hybrid methodologies. By relying on the recent advances in the computational methods, an opportunity emerged for them to be complementary or an alternative to the experimental methods in the field of biosensor design.

Computational Study of Encapsulation of Polyaromatic Hydrocarbons by Endo-Functionalized Receptors in Nonpolar Medium

Polycyclic aromatic hydrocarbons (PAHs) constitute a large group of organic pollutants produced from either natural or artificial sources during the incomplete combustion of fossil fuels or derived from various industrial processes (such as refinery processes of crude petroleum). They are seriously hazardous to human health, and removing them is of major importance. The complexation likeliness with and selective recognition of PAH guests by endo-functionalized molecular tube hosts (host-abu and host-abtu) in a nonpolar medium are investigated using classical molecular dynamics simulation and quantum calculation to probe the factors and the molecular mechanism involved in complexation processes. We examine the role of different guest molecules in the structural changes of hosts, a prelude to van der Waals interactions and binding free energy in the complexation process. These types of host-guest interactions depend on various factors. We find that (i) both the host molecules (host-abtu and host-abu) interact with the guest π-electron cloud almost equally and (ii) these interactions also depend on the molecular size of PAHs. The larger the nonpolar surface area of PAHs, the greater the interactions with the host, and the more extensive the π-electron cloud of the guest, the stronger the interactions. The linear PAHs interact more strongly than isomeric branched/curved PAHs, and the presence of heteroatoms on PAHs decreases the interactions with the host by creating repulsion between the lone pairs of heteroatoms and the π-electron cloud of the host. Noncovalent van der Waals interactions and N-H···π interactions dominate the high affinities of PAHs toward host-abu and host-abtu. The potential of mean force and molecular mechanics Poisson-Boltzmann surface area calculations reveal that all host-guest complexes are energetically stable.

Molecular dynamics investigations of oligosaccharides recognized by family 16 and 22 carbohydrate binding modules

As a non-catalytic domain, carbohydrate binding modules (CBMs) are often considered to play some key roles in the degradation and recognition of polysaccharides catalyzed by cellulases. In this work, we investigated the recognition dynamics of cello- or xylo-saccharides by two typical CBMs (CBM16-1 and CBM22-2), which are grouped into Type B CBMs. By combining extensive molecular dynamics, principle component analysis, and binding free energy calculations, we constructed several complex models of the two CBMs in both complex cello- and xylo-oligosaccharides. The corresponding substrate recognition affinity and critical residues having significant contributions were systematically investigated. The residues containing aromatic side chain groups were shown to contribute significantly to substrate binding. The calculated binding free energies were in fairly good agreement with the experimental measurements with the absolute mean error of 0.69 kcal mol^-1. The overall electrostatic interactions were shown to have negative effects on substrate recognition. Further metadynamics simulations revealed the substrate dissociation process.

Anomalous Nanoscale Optoacoustic Phonon Mixing in Nematic Mesogens

Recent inelastic X-ray scattering (IXS) experiments on mesogens have revealed entirely new capabilities with regards to their nanoscale phonon-assisted heat management. Mesogens such as nematic liquid crystals (LCs) are appealing systems for study because their structure and morphology can easily be tuned. We report on Q-resolved ultra-high-resolution IXS, X-ray diffraction, and THz time-domain spectroscopy experiments combined with large-scale all-atom molecular dynamics simulations on the dynamic properties of 5CB LCs. For the first time, we observe a strong mixing of phonon excitations originating from independent in-phase and out-of-phase van-der-Waals-mediated displacement patterns. The coexistence of transverse acoustic and optical modes of 5CB LCs at near room temperature is revealed through the emergent transverse phonon gap and THz light-phonon coupling taking place within the same energy range. Furthermore, our experimental observations are supported by analysis showing correlations of spontaneous fluctuations of LCs on picosecond time scales. These findings are significant for the design of a new generation of soft molecular vibration-sensitive nanoacoustic and optomechanical applications.

Synergistic host–guest hydrophobic and hydrogen bonding interactions in the complexation between endo-functionalized molecular tube and strongly hydrophilic guest molecules in aqueous solution

Molecular dynamics simulation study of the recognition of hydrophilic molecules by an endo-functionalized molecular tube in aqueous solution.

Thermotropic Liquid Crystal-Assisted Chemical and Biological Sensors

In this review article, we analyze recent progress in the application of liquid crystal-assisted advanced functional materials for sensing biological and chemical analytes. Multiple research groups demonstrate substantial interest in liquid crystal (LC) sensing platforms, generating an increasing number of scientific articles. We review trends in implementing LC sensing techniques and identify common problems related to the stability and reliability of the sensing materials as well as to experimental set-ups. Finally, we suggest possible means of bridging scientific findings to viable and attractive LC sensor platforms.