Synthesis and biological evaluation of novel ß-lactam-metallo ß-lactamase inhibitors.

ß-lactamases are enzymes that deactivate ß-lactam antibiotics through a hydrolysis mechanism. There are two known types of ß-lactamases: serine ß-lactamases (SBLs) and metallo ß-lactamases (MBLs). The two existing strategies to overcome ß-lactamase-mediated resistance are (a) to develop novel ß-lactam antibiotics that are not susceptible to hydrolysis by these enzymes; or (b) to develop ß-lactamase inhibitors that deactivate the enzyme and thereby restore the efficacy of the co-administered antibiotics. Many commercially available SBL inhibitors are used in combination therapy with antibiotics to treat antimicrobial resistant infections; however, there are only a handful of MBL inhibitors undergoing clinical trials. In this study, we present 11 novel potential MBL inhibitors (via multi-step chemical synthesis), that have shown to completely restore the efficacy of meropenem (≤2 mg L-1) against New Delhi metallo-ß-lactamase (NDM) producing Klebsiella pneumoniae in vitro. These compounds contain a cyclic amino acid zinc chelator conjugated to various commercially available ß-lactam antibiotic scaffolds with the aim to improve the overall drug transport, lipophilicity, and pharmacokinetic/pharmacodynamic properties as compared to the chelator alone. Biological evaluation of compounds 24b and 24c has further highlighted the downstream application of these MBLs, since they are non-toxic at the selected doses. Time-kill assays indicate that compounds 24b and 24c exhibit sterilizing activity towards NDM producing Klebsiella pneumoniae in vitro using minimal concentrations of meropenem. Furthermore, 24b and 24c proved to be promising inhibitors of VIM-2 (Ki = 0.85 and 1.87, respectively). This study has revealed a novel series of ß-lactam MBLIs that are potent, efficacious, and safe leads with the potential to develop into therapeutic MBLIs.

Current trends in computer aided drug design and a highlight of drugs discovered via computational techniques: A review.

Computer-aided drug design (CADD) is one of the pivotal approaches to contemporary pre-clinical drug discovery, and various computational techniques and software programs are typically used in combination, in a bid to achieve the desired outcome. Several approved drugs have been developed with the aid of CADD. On SciFinder®, we evaluated more than 600 publications through systematic searching and refining, using the terms, virtual screening; software methods; computational studies and publication year, in order to obtain data concerning particular aspects of CADD. The primary focus of this review was on the databases screened, virtual screening and/or molecular docking software program used. Furthermore, we evaluated the studies that subsequently performed molecular dynamics (MD) simulations and we reviewed the software programs applied, the application of density functional theory (DFT) calculations and experimental assays. To represent the latest trends, the most recent data obtained was between 2015 and 2020, consequently the most frequently employed techniques and software programs were recorded. Among these, the ZINC database was the most widely preferred with an average use of 31.2%. Structure-based virtual screening (SBVS) was the most prominently used type of virtual screening and it accounted for an average of 57.6%, with AutoDock being the preferred virtual screening/molecular docking program with 41.8% usage. Following the screening process, 38.5% of the studies performed MD simulations to complement the virtual screening and GROMACS with 39.3% usage, was the popular MD software program. Among the computational techniques, DFT was the least applied whereby it only accounts for 0.02% average use. An average of 36.5% of the studies included reports on experimental evaluations following virtual screening. Ultimately, since the inception and application of CADD in pre-clinical drug discovery, more than 70 approved drugs have been discovered, and this number is steadily increasing over time.

Structure and Function of L,D- and D,D-Transpeptidase Family Enzymes from Mycobacterium tuberculosis.

Peptidoglycan, the exoskeleton of bacterial cell and an essential barrier that protects the cell, is synthesized by a pathway where the final steps are catalysed by transpeptidases. Knowledge of the structure and function of these vital enzymes that generate this macromolecule in M. tuberculosis could facilitate the development of potent lead compounds against tuberculosis. This review summarizes the experimental and computational studies to date on these aspects of transpeptidases in M. tuberculosis that have been identified and validated. The reported structures of L,D- and D,D-transpeptidases, as well as their functionalities, are reviewed and the proposed enzymatic mechanisms for L,D-transpeptidases are summarized. In addition, we provide bioactivities of known tuberculosis drugs against these enzymes based on both experimental and computational approaches. Advancing knowledge about these prominent targets supports the development of new drugs with novel inhibition mechanisms overcoming the current need for new drugs against tuberculosis.

Identification of potent L,D-transpeptidase 5 inhibitors for Mycobacterium tuberculosis as potential anti-TB leads: virtual screening and molecular dynamics simulations.

Virtual screening is a useful in silico approach to identify potential leads against various targets. It is known that carbapenems (doripenem and faropenem) do not show any reasonable inhibitory activities against L,D-transpeptidase 5 (LdtMt5) and also an adduct of meropenem exhibited slow acylation. Since these drugs are active against L,D-transpeptidase 2 (LdtMt2), understanding the differences between these two enzymes is essential. In this study, a ligand-based virtual screening of 12,766 compounds followed by molecular dynamics (MD) simulations was applied to identify potential leads against LdtMt5. To further validate the obtained virtual screening ranking for LdtMt5, we screened the same libraries of compounds against LdtMt2 which had more experimetal and calculated binding energies reported. The observed consistency between the binding affinities of LdtMt2 validates the obtained virtual screening binding scores for LdtMt5. We subjected 37 compounds with docking scores ranging from - 7.2 to - 9.9 kcal mol-1 obtained from virtual screening for further MD analysis. A set of compounds (n = 12) from four antibiotic classes with ≤ - 30 kcal mol-1 molecular mechanics/generalized born surface area (MM-GBSA) binding free energies (ΔGbind) was characterized. A final set of that, all ß-lactams (n = 4), was considered. The outcome of this study provides insight into the design of potential novel leads for LdtMt5. Graphical abstract.

Inhibition mechanism of L,D-transpeptidase 5 in presence of the ß-lactams using ONIOM method.

Tuberculosis (TB) is one of the world's deadliest diseases resulting from infection by the bacterium, Mycobacterium tuberculosis (M.tb). The L,D-transpeptidase enzymes catalyze the synthesis of 3 → 3 transpeptide linkages which are predominant in the peptidoglycan of the M.tb cell wall. Carbapenems is class of ß-lactams that inactivate L,D-transpeptidases by acylation, although differences in antibiotic side chains modulate drug binding and acylation rates. Herein, we used a two-layered our Own N-layer integrated Molecular Mechanics ONIOM method to investigate the catalytic mechanism of L,D-transpeptidase 5 (LdtMt5) by ß-lactam derivatives. LdtMt5 complexes with six ß-lactams, ZINC03788344 (1), ZINC02462884 (2), ZINC03791246 (3), ZINC03808351 (4), ZINC03784242 (5) and ZINC02475683 (6) were simulated. The QM region (high-level) comprises the ß-lactam, one water molecule and the Cys360 catalytic residue, while the rest of the LdtMt5 residues were treated with AMBER force field. The activation energies (ΔG#) were calculated with B3LYP, M06-2X and ωB97X density functionals with 6-311++G(2d, 2p) basis set. The ΔG# for the acylation of LdtMt5 by the selected ß-lactams were obtained as 13.67, 20.90, 22.88, 24.29, 27.86 and 28.26 kcal mol-1respectively. Several of the compounds showed an improved ΔG# when compared to the previously calculated energies for imipenem and meropenem for the acylation step for LdtMt5. This model provides further validation of the catalytic inhibition mechanism of LDTs with atomistic detail.