Interaction of CTX-M-15 enzyme with cefotaxime: a molecular modelling and docking study

In depth molecular interaction analyses of the complex of a proposed CTXM-inhibitor bound to the bacterial enzyme

A 'Thumb Rule for Antibiotic Design' against bacteria can be given as, 'The minimum pace of drug design ought to match the swiftness with which bacteria display cutting-edge resistance mechanisms; thereby outwitting the antibiotics and, in turn, the researchers'. Occurrence of drug resistance attributable to CXTM-variants in bacterial pathogens is widespread. In line with our above proposed thumb rule, the present article employed concatenation of virtual screening, docking and simulation to identify a potent in silico validated anti-CTXM-14 ligand. Specifically, this research used the 'MCULE' drug discovery platform to screen a total of 5 million candidate inhibitors to evaluate their binding efficacy with an antibiotic resistance enzyme, CTXM-14 found in bacterial pathogens. A new median approach between 'structure' and 'ligand'-based protocols was employed. Pharmacokinetic profiling was achieved by 'SWISS ADME'. Safety profile for humans was appraised by 'Toxicity Checker'. The complex consisting of the 'Top ligand' (obtained from the screen) harbored within the active pocket of the bacterial CTXM-14 was subjected to 60 ns molecular dynamics simulation with the aid of licensed YASARA STRUCTURE v.21.8.27. Complex tasks were performed by YANACONDA. Fine resolution figures (notably, plots generated from trajectory analyses) were constructed. Simulation snaps were acquired at every 250 picoseconds of the run. The ligand having the IUPAC name as 1-Amino-3-(4-hydroxyphenyl)pyrido[1,2-a]benzimidazole-2,4-dicarbonitrile demonstrated the overall best binding with CTXM-14. Fifteen amino acid residues were found to line the interacting pocket. Remarkably, all of these interacting residues were found to be present among the interacting residues displayed by the reference complex as well, i.e. CTXM-14:Vaborbactam complex (PDB ID 6V7H). A total of 240 simulation snaps were retrieved. The RMSD plot revealed that a plateau was achieved at 32 ns, after which the backbone RMSD fluctuations remained confined within 1.4-2 Å. Video recording of molecular actions was also achieved. In conclusion, this study provides a fresh lead molecule, 1-Amino-3-(4-hydroxyphenyl)pyrido[1,2-a]benzimidazole-2,4-dicarbonitrile against bacterial CTXM-14 protein. The study utilized a new median approach between 'structure' and 'ligand'-based drug design. The lead molecule passed ADMET conditions and an array of medicinal chemistry filters, and is further supported by a stable molecular dynamics. An acceptable skin permeation supports its probable use in antibiotic creams. Moreover, the study provides a clear 'Thumb Rule for Antibiotic Design' against bacteria, which although often assumed, can be clearly stated for the first time. Synthesis of the screening-proposed molecule followed by in-vitro and in-vivo validation is highly recommended.Communicated by Ramaswamy H. Sarma.

VS, Gorityala N, Sagurthi SR, Mungapati S, Manikanta KN, Allam US. In Silico Modeling and Docking Analysis of CTX-M-5, Cefotaxime-Hydrolyzing β-Lactamase from Human-Associated Salmonella Typhimurium

Background:

CTX-M-type enzymes represent a novel and rapidly evolving group of extended-spectrum β-lactamases, which confer resistance to advance generation cephalosporins. Despite the interaction of CTX-M-5 with drugs and inhibitors, its structure is not reported till date. The present study aimed to computationally model the CTX-M-5 β-lactamase and establish its structure, which is exclusively present in human-associated Salmonella.

Methods:

The CTX-M-5 aminoacid sequence (Uniprot ID:O65975) of Salmonella enterica subsp. enterica serovar typhimurium was retrieved from UniProt database and subjected to homology modeling using MODELLER 9v7. The homology models were duly validated using RAMPAGE tool by generating Ramachandran plots, ERRAT graphs, and ProSA score. DoGSiteScorer server and ConSurf server were used to detect the cavities, pockets, and clefts to identify conserved amino acid sites in the predicted model. Subsequently, the modeled structure was docked using CLC Drug Discovery Workbench against proven drugs and known inhibitors.

Results:

Obtained high-quality homology model with 91.7% of the residues in favorable regions in Ramachandran plot and qualified in other quality parameters. Docking studies resulted in a higher dock score for PNK (D-benzylpenicilloic acid) molecule when compared to other reported inhibitors.

Conclusion:

This in silico study suggests that the compound PNK could be an efficient ligand for CTX-M-5 β-lactamase and serve as a potent inhibitor of CTX-M-5.

High Throughput Virtual Screening and Molecular Dynamics Simulation for Identifying a Putative Inhibitor of Bacterial CTX-M-15

Background: Multidrug resistant bacteria are a major therapeutic challenge. CTX-M-type enzymes are an important group of class A extended-spectrum β-lactamases (ESBLs). ESBLs are the enzymes that arm bacterial pathogens with drug resistance to an array of antibiotics, notably the advanced-generation cephalosporins. The current need for an effective CTX-M-inhibitor is high. Objective: The aim of the current study was to identify a promising anti-CTX-M-15 ligand whose chemical skeleton could be used as a ‘seed-molecule’ for future drug design against resistant bacteria. Methods: Virtual screening of 5,000,000 test molecules was performed by ‘MCULE Drug Discovery Platform’. ‘ADME analyses’ was performed by ‘SWISS ADME’. TOXICITY CHECKER of MCULE was employed to predict the safety profile of the test molecules. The complex of the ‘Top inhibitor’ with the ‘bacterial CTX-M-15 enzyme’ was subjected to 102.25 ns molecular dynamics simulation. This simulation was run for 3 days on a HP ZR30w workstation. Trajectory analyses were performed by employing the macro ‘md_analyze.mcr’ of YASARA STRUCTURE version 20.12.24.W.64 using AMBER14 force field. YANACONDA macro language was used for complex tasks. Figures, including RMSD and RMSF plots, were generated. Snapshots were acquired after every 250 ps. Finally, two short videos of ‘41 s’ and ‘1 min and 22 s’ duration were recorded. Results: 5-Amino-1-(2H-[1,2,4]triazino[5,6-b]indol-3-yl)-1H-pyrazole-4-carbonitrile, denoted by the MCULE-1352214421-0-56, displayed the most efficient binding with bacterial CTX-M-15 enzyme. This screened molecule significantly interacted with CTX-M-15 via 13 amino acid residues. Notably, nine amino acid residues were found common to avibactam binding (the reference ligand). Trajectory analysis yielded 410 snapshots. The RMSD plot revealed that around 26 ns, equilibrium was achieved and, thereafter, the complex remained reasonably stable. After a duration of 26 ns and onwards until 102.25 ns, the backbone RMSD fluctuations were found to be confined within a range of 0.8–1.4 Å. Conclusion: 5-Amino-1-(2H-[1,2,4]triazino[5,6-b]indol-3-yl)-1H-pyrazole-4-carbonitrile could emerge as a promising seed molecule for CTX-M-15-inhibitor design. It satisfied ADMET features and displayed encouraging ‘simulation results’. Advanced plots obtained by trajectory analyses predicted the stability of the proposed protein-ligand complex. ‘Hands on’ wet laboratory validation is warranted.

Molecular Interaction of Anti-Diabetic Drugs With Acetylcholinesterase and Sodium Glucose Co-Transporter 2

Type 2 Diabetes Mellitus (T2DM) and Alzheimer's disease (AD) are the two disorders which are known to share pertinent pathological and therapeutic links. Sodium glucose co-transporter-2 (SGLT2) and Acetylcholinesterase (AChE) are established inhibition targets for T2DM and AD treatments, respectively. Reports suggest that anti-diabetic drugs could be used for AD treatment also. The present study used molecular docking by Autodock4.2 using our "Click-By-Click"-protocol, Ligplot1.4.3 and "change in accessible surface area (ΔASA)-calculations" to investigate the binding of two investigational anti-diabetic drugs, Ertugliflozin and Sotagliflozin to an established target (SGLT2) and a research target (human brain AChE). Sotagliflozin appeared more promising for SGLT2 as well as AChE-inhibition with reference to ΔG and Ki values in comparison to Ertugliflozin. The ΔG and Ki values for "Sotagliflozin:AChE-binding" were -7.16 kcal/mol and 5.6 μM, respectively while the same were found to be -8.47 kcal/mol and 0.62 μM, respectively for its interaction with SGLT2. Furthermore, "Sotagliflozin:SGLT2-interaction" was subjected to (un)binding simulation analyses by "Molecular-Motion-Algorithms." This information is significant as the exact binding mode, interacting amino acid residues and simulation results for the said interaction have not been described yet. Also no X-ray crystal is available for the same. Finally, the results described herein indicate that Sotagliflozin could have an edge over Ertugliflozin for treatment of Type 2 diabetes. Future design of drugs based on Sotagliflozin scaffolds for treatment of Type 2 and/or Type 3 diabetes are highly recommended. As these drugs are still in late phases of clinical trials, the results described herein appear timely. J. Cell. Biochem. 118: 3855-3865, 2017. © 2017 Wiley Periodicals, Inc.

A neuroinformatics study to compare inhibition efficiency of three natural ligands (Fawcettimine, Cernuine and Lycodine) against human brain acetylcholinesterase

Enzyme-inhibition is considered as a potent therapeutic approach to the treatment of diseases associated with acetylcholinesterase (AChE). The present study elucidates molecular interactions of human brain AChE, with three natural ligands Lycodine, Cernuine and Fawcettimine for comparison. Docking between these ligands and enzyme was performed using 'Autodock 4.2'. It was determined that polar and hydrophobic interactions play an important role in the correct positioning of Lycodine, Cernuine and Fawcettimine within the 'catalytic site' of AChE to permit docking. This approach would be helpful to understand the selectivity of the given drug molecule in the treatment of neurological disorder. Moreover, the present study confirms that Lycodine is a more efficient inhibitor of human brain AChE compared to Cernuine and Fawcettimine with reference to ΔG and Ki values.

An enzoinformatics study for prediction of efficacies of three novel penem antibiotics against New Delhi metallo-β-lactamase-1 bacterial enzyme

New Delhi metallo-beta-lactamase (NDM-1) is a beta-lactamase (class B carbapenemase) containing Zn(2+) and other divalent cations as cofactors which possesses the ability to inactivate all beta lactams (including carbapenems) except aztreonam by catalyzing the hydrolytic cleavage of the substrate amide bond. Carbapenemases are either serine enzymes or metallo-β-lactamases (MBLs) that utilize at least one zinc ion for hydrolysis. The present study describes the molecular interaction of carbapenems (Imipenem, Meropenem, Ertapenem, Doripenem, Panipenem, Biapenem, Razupenem, Faropenem, Tebipenem and Tomopenem) with NDM-1, β-lactamase enzyme. Docking between NDM-1 and each of these carbapenems (separately) was performed using 'Autodock4.2'.

An enzoinformatics study for prediction of efficacies of three novel penem antibiotics against New Delhi metallo-β-lactamase-1 bacterial enzyme

New Delhi metallo-beta-lactamase (NDM-1) is a beta-lactamase (class B carbapenemase) containing Zn2+ and other divalent cations as cofactors which possesses the ability to inactivate all beta lactams (including carbapenems) except aztreonam by catalyzing the hydrolytic cleavage of the substrate amide bond. Carbapenemases are either serine enzymes or metallo-β-lactamases (MBLs) that utilize at least one zinc ion for hydrolysis. The present study describes the molecular interaction of carbapenems (Imipenem, Meropenem, Ertapenem, Doripenem, Panipenem, Biapenem, Razupenem, Faropenem, Tebipenem and Tomopenem) with NDM-1, β-lactamase enzyme. Docking between NDM-1 and each of these carbapenems (separately) was performed using 'Autodock4.2'.

Detection of Escherichia coli and associated β-lactamases genes from diabetic foot ulcers by multiplex PCR and molecular modeling and docking of SHV-1, TEM-1, and OXA-1 β-lactamases with clindamycin and piperacillin-tazobactam

Diabetic foot ulcer (DFU) is a common and devastating complication in diabetes. Antimicrobial resistance mediated by extended-spectrum β-lactamases (ESBLs) production by bacteria is considered to be a major threat for foot amputation. The present study deals with the detection of Escherichia coli and the prevalence of bla_TEM, bla_SHV and bla_OXA genes directly from biopsy and swab of foot ulcers of diabetic patients. In total, 116 DFU patients were screened, of which 42 suffering with severe DFUs were selected for this study. Altogether 16 E. coli strains were successfully isolated from biopsy and/or swab samples of 15 (35.71%) patients. ESBL production was noted in 12 (75%) strains. Amplification of β-lactamase genes by multiplex PCR showed the presence of bla_CTX-M like genes in 10 strains, bla_TEM and bla_OXA in 9 strains each, and bla_SHV in 8 of the total 16 strains of E. coli. Out of the ten antibiotics tested, E. coli strains were found to be resistant to ampicillin (75%), cefoxitin (56.25%), cefazolin (50%), meropenem (37.5%), cefoperazone (25%), cefepime (31.25%), ceftazidime (56.25%), and cefotaxime (68.75%) but all showed sensitivity (100%) to clindamycin and piperacillin-tazobactam. 3D models of the most prevalent variants of β-lactamases namely TEM-1, SHV-1, OXA-1, and ESBL namely CTX-M-15 were predicted and docking was performed with clindamycin and piperacillin-tazobactam to reveal the molecular basis of drug sensitivity. Docking showed the best docking score with significant interactions, forming hydrogen bond, Van der Waals and polar level interaction with active site residues. Findings of the present study may provide useful insights for the development of new antibiotic drugs and may also prevent ESBLs-mediated resistance problem in DFU. The novel multiplex PCR assay designed in this study may be routinely used in clinical diagnostics of E. coli and associated bla_TEM, bla_SHV, and bla_OXA like genes.

Molecular docking analysis of new generation cephalosporins interactions with recently known SHV-variants

Extended-spectrum-β-lactamases (ESBLs), constitutes the growing class of betalactamses, these are enzymes produced by bacteria which impart resistance against advanced-generation-cephalosporins. SHV enzymes are among the most prevalent ESBLs. The mode of molecular interactions of recent SHV-variants to advanced generation cephalosporins has not been reported yet. This is the first time we are reporting the insilico study of these recent variants with new generation cephaosporins. Homology models for SHV-105, SHV-95, SHV-89, SHV-61 and SHV-48 were generated using MODELLER9v3. New generation Cephalosporins were selected to target the active site amino acid residues of these modeled SHV enzymes for predicting comparative efficacies of these inhibitors against the said enzymes on the basis of interaction energies of docking. The docked complexes were analyzed by using DISCOVERY STUDIO 2.5. In this study A237, S70, K234, R275, N132, R244 and S130 were found crucial to the correct positioning of drugs within the binding site of SHV enzymes in 11, 6, 6, 6, 5, 5 and 5 instances, respectively. On the basis of interaction energy and Ki calculations cefatoxime emerged as the most efficient among the other advanced cephalosporins against all the studied SHV variants, excluding SHV-48 where ceftazidime was found to be most effective drug. Furthermore, this study identified amino acid residues crucial to ‘SHV-Cephalosporins’ interactions and this information will be useful in designing effective and versatile drug candidates.