Antibiotic-Derived Radiotracers for Positron Emission Tomography: Nuclear or "Unclear" Infection Imaging?

The excellent features of non-invasive molecular imaging, its progressive technology (real-time, whole-body imaging and quantification), and global impact by a growing infrastructure for positron emission tomography (PET) scanners are encouraging prospects to investigate new concepts, which could transform clinical care of complex infectious diseases. Researchers are aiming towards the extension beyond the routinely available radiopharmaceuticals and are looking for more effective tools that interact directly with causative pathogens. We reviewed and critically evaluated (challenges or pitfalls) antibiotic-derived PET radiopharmaceutical development efforts aimed at infection imaging. We considered both radiotracer development for infection imaging and radio-antibiotic PET imaging supplementing other tools for pharmacologic drug characterization; overall, a total of 20 original PET radiotracers derived from eleven approved antibiotics.

Computational insights for predicting the binding and selectivity of peptidomimetic plasmepsin IV inhibitors against cathepsin D.

Plasmepsins (Plms) are aspartic proteases involved in the degradation of human hemoglobin by P. falciparum and are essential for the survival and growth of the parasite. Therefore, Plm enzymes are reported as an important antimalarial drug target. Herein, we have applied molecular docking, molecular dynamics (MD) simulations, and binding free energy with the Linear Interaction Energy (LIE) approach to investigate the binding of peptidomimetic PlmIV inhibitors with a particular focus on understanding their selectivity against the human Asp protease cathepsin D (CatD). The residual decomposition analysis results suggest that amino acid differences in the subsite S3 of PlmIV and CatD are responsible for the higher selectivity of the 5a inhibitor. These findings yield excellent agreement with experimental binding data and provide new details regarding van der Waals and electrostatic interactions of subsite residues as well as structural properties of the PlmIV and CatD systems.

The development of a sub/supercritical fluid chromatography based purification method for peptides.

Peptide drugs are essential components of the pharmaceutical industry with a multiplicity of therapeutic properties, such as being anti-hypertensive, anti-microbial, anti-diabetic, and having anti-cancer potential. These molecules are similar in physiological structure and function to the body's endogenous signalling molecules and are therefore ideal candidates for the development of the next-generation of drugs. However, the purification of these peptides can be problematic due to poor solubility and stability, which often results in low peptide yields. Peptides are traditionally purified via RP-HPLC methods, which are tedious and employ harsh solvents that generate harmful waste to the environment. There is a growing need for more cost-effective and sustainable purification methods of these biologics. SFC can provide a greener peptide purification approach with more environmentally friendly mobile phases such as CO2 and methanol, which can easily be recycled with minimal environmental impact. Currently, there is limited knowledge regarding the SFC purification of peptides. Herein, this study investigated SFC methods to purify a tetrapeptide (LYLV), octapeptide (DRVYIHPF), and nonapeptide (LYLVCGERG) on commercially available columns at an analytical scale. The 2-ethyl pyridine column proved to be optimal based on its reproducibility, peak shapes, efficient separations, and retention factors with peptide recoveries ranging from 80 to 102%. The run times were reduced to 13 min, as opposed to the traditional RP-HPLC methods of 50 min, thus making this SFC method an efficient, greener, and more cost-effective approach for the purification of these peptides.

Sub/supercritical fluid chromatography employing water-rich modifier enables the purification of biosynthesized human insulin.

There is a paucity of knowledge surrounding the SFC purification of human insulin. The current conventional method of insulin purification involves traditional RP-HPLC that utilises copious amounts of toxic solvents. In this study, we envisaged the development of an environmentally friendly SFC method for biosynthesized human insulin purification. Various commercially available SFC columns derived with silica, 2'ethyl pyridine, diol-HILIC, and the PFP functionalities were evaluated to determine the optimal stationary phase for purification. The PFP column gave the best results with respect to efficiencies of this important biologic that yielded average recoveries of 84%. LC-MS was used to initially detect and quantify the SFC purified standard sample of insulin (purchased) as well as the biosynthesized version. Protein sequencing was employed to verify the amino acid sequencing of the insulins; as such, the standard had a 90% probability to human insulin from the database, whereas the biosynthesized version had a 96% probability. The biological activities of both versions of the SFC purified proteins were assessed in vitro using a MTT assay. The results indicated that the biological activities of both samples were retained subsequent to SFC purification. This study successfully proposes a greener and more efficient method for the purification of insulin derivatives.

In Silico Modelling in the Development of Novel Radiolabelled Peptide Probes.

This review describes the usefulness of in silico design approaches in the design of new radiopharmaceuticals, especially peptide-based radiotracers (including peptidomimetics). Although not part of the standard arsenal utilized during radiopharmaceutical design, the use of in silico strategies is steadily increasing in the field of radiochemistry as it contributes to a more rational and scientific approach. The development of new peptide-based radiopharmaceuticals as well as a short introduction to suitable computational approaches are provided in this review. The first section comprises a concise overview of the three most useful computeraided drug design strategies used, namely i) a Ligand-based Approach (LBDD) using pharmacophore modelling, ii) a Structure-based Design Approach (SBDD) using molecular docking strategies and iii) Absorption-Distribution-Metabolism-Excretion-Toxicity (ADMET) predictions. The second section summarizes the challenges connected to these computer-aided techniques and discusses successful applications of in silico radiopharmaceutical design in peptide-based radiopharmaceutical development, thereby improving the clinical procedure in Nuclear Medicine. Finally, the advances and future potential of in silico modelling as a design strategy is highlighted.

A novel and more efficient biosynthesis approach for human insulin production in Escherichia coli (E. coli).

Insulin has captured researchers' attention worldwide. There is a rapid global rise in the number of diabetic patients, which increases the demand for insulin. Current methods of insulin production are expensive and time-consuming. A PCR-based strategy was employed for the cloning and verification of human insulin. The human insulin protein was then overexpressed in E. coli on a laboratory scale. Thereafter, optimisation of human insulin expression was conducted. The yield of human insulin produced was approximately 520.92 (mg/L), located in the intracellular fraction. Human insulin was detected using the MALDI-TOF-MS and LC-MS methods. The crude biosynthesised protein sequence was verified using protein sequencing, which had a 100% similarity to the human insulin sequence. The biological activity of human insulin was tested in vitro using a MTT assay, which revealed that the crude biosynthesised human insulin displayed a similar degree of efficacy to the standard human insulin. This study eliminated the use of affinity tags since an untagged pET21b expression vector was employed. Tedious protein renaturation, inclusion body recovery steps, and the expensive enzymatic cleavage of the C-peptide of insulin were eliminated, thereby making this method of biosynthesising human insulin a novel and more efficient method.