Michael E. Johnson

A noncovalent class of papain-like protease/deubiquitinase inhibitors blocks SARS virus replication

We report the discovery and optimization of a potent inhibitor against the papain-like protease (PLpro) from the coronavirus that causes severe acute respiratory syndrome (SARS-CoV). This unique protease is not only responsible for processing the viral polyprotein into its functional units but is also capable of cleaving ubiquitin and ISG15 conjugates and plays a significant role in helping SARS-CoV evade the human immune system. We screened a structurally diverse library of 50,080 compounds for inhibitors of PLpro and discovered a noncovalent lead inhibitor with an IC50 value of 20 μM, which was improved to 600 nM via synthetic optimization. The resulting compound, GRL0617, inhibited SARS-CoV viral replication in Vero E6 cells with an EC50 of 15 μM and had no associated cytotoxicity. The X-ray structure of PLpro in complex with GRL0617 indicates that the compound has a unique mode of inhibition whereby it binds within the S4-S3 subsites of the enzyme and induces a loop closure that shuts down catalysis at the active site. These findings provide proof-of-principle that PLpro is a viable target for development of antivirals directed against SARS-CoV, and that potent noncovalent cysteine protease inhibitors can be developed with specificity directed toward pathogenic deubiquitinating enzymes without inhibiting host DUBs.

Biotechnology and Pharmacy

Biotechnology and pharmacy , Biotechnology and pharmacy , مرکز فناوری اطلاعات و اطلاع رسانی کشاورزی

Ligand efficiency indices for an effective mapping of chemico-biological space: the concept of an atlas-like representation.

We propose a numerical framework that permits an effective atlas-like representation of chemico-biological space based on a series of Cartesian planes mapping the ligands with the corresponding targets connected by an affinity parameter (K(i) or related). The numerical framework is derived from the concept of ligand efficiency indices, which provide a natural coordinate system combining the potency toward the target (biological space) with the physicochemical properties of the ligand (chemical space). This framework facilitates navigation in the multidimensional drug discovery space using map-like representations based on pairs of combined variables related to the efficiency of the ligands per Dalton (molecular weight or number of non-hydrogen atoms) and per unit of polar surface area (or number of polar atoms).

Polyoxypregnanes from Marsdenia tenacissima

Abstract From Marsdenia tenacissima six polyoxypregnanes were isolated, and their structures and stereochemistry were elucidated by a combination of NMR techniques as 11α- O -tigloyl-12β- O -acetyltenacigenin B, 11α- O -benzoyl-12β- O -acetyltenacigenin B, 11α- O -2-methylbutyryl-12β- O -acetyltenacigenin B, 11α- O -2-methylbutyryl-12β- O -tigloyltenacigenin B, 11α- O -2-methylbutyryl-12β- O -benzoyltenacigenin B and 11α, 12β- O , O -ditigloyl- 17β-tenacigenin B, respectively. The ambiguous assignments were resolved through molecular modelling comparisons. Compounds 1 , 4 and 5 have been reported as the aglycones of some glycosides, and compounds 4–6 showed cytotoxic activity against the KB cell line.

Hit Identification and Optimization in Virtual Screening: Practical Recommendations Based on a Critical Literature Analysis

A critical analysis of virtual screening results published between 2007 and 2011 was performed. The activity of reported hit compounds from over 400 studies was compared to their hit identification criteria. Hit rates and ligand efficiencies were calculated to assist in these analyses, and the results were compared with factors such as the size of the virtual library and the number of compounds tested. A series of promiscuity, druglike, and ADMET filters were applied to the reported hits to assess the quality of compounds reported, and a careful analysis of a subset of the studies that presented hit optimization was performed. These data allowed us to make several practical recommendations with respect to selection of compounds for experimental testing, definition of hit identification criteria, and general virtual screening hit criteria to allow for realistic hit optimization. A key recommendation is the use of size-targeted ligand efficiency values as hit identification criteria.

Inhibition of MptpB phosphatase from Mycobacterium tuberculosis impairs mycobacterial survival in macrophages

OBJECTIVES The secreted Mycobacterium tuberculosis protein tyrosine phosphatase (MptpB) is a virulence factor for M. tuberculosis and contributes to its survival within host macrophages. The aim of this study was to identify potent selective inhibitors of MptpB and to determine the efficacy of these compounds in mycobacterium-infected macrophages. METHODS The inhibitory effect of a small library of compounds on MptpB was first examined in vitro. The efficacy of these compounds was further examined in mycobacterium-infected macrophages. RESULTS We have identified a new family of double-site isoxazole-based compounds that are potent selective inhibitors of MptpB. Importantly, the inhibitors substantially reduce mycobacterial survival in infected macrophages. In contrast with current anti-tubercular drugs, these MptpB inhibitors do not have bactericidal action but rather, severely impair mycobacterial growth within macrophages. Docking analysis suggests a double-site binding mechanism of inhibition with the isoxazole head in the active site and a salicylate group in a secondary binding pocket that is a unique structural feature of MptpB. CONCLUSIONS These results provide the first evidence that inhibition of phosphatases can be exploited against mycobacterial infections. The cell activity of the inhibitors together with the lack of MptpB human orthologues suggests a strong potential for these compounds to be developed as drug candidates against tuberculosis and promises a new therapeutic strategy to tackle clearance and reduce the persistence of M. tuberculosis infection.

Discovery of a novel and potent class of F. tularensis enoyl-reductase (FabI) inhibitors by molecular shape and electrostatic matching

Enoyl-acyl carrier protein (ACP) reductase, FabI, is a key enzyme in the bacterial fatty acid biosynthesis pathway (FAS II). FabI is an NADH-dependent oxidoreductase that acts to reduce enoyl-ACP substrates in a final step of the pathway. The absence of this enzyme in humans makes it an attractive target for the development of new antibacterial agents. FabI is known to be unresponsive to structure-based design efforts due to a high degree of induced fit and a mobile flexible loop encompassing the active site. Here we discuss the development, validation, and careful application of a ligand-based virtual screen used for the identification of novel inhibitors of the Francisella tularensis FabI target. In this study, four known classes of FabI inhibitors were used as templates for virtual screens that involved molecular shape and electrostatic matching. The program ROCS was used to search a high-throughput screening library for compounds that matched any of the four molecular shape queries. Matching compounds were further refined using the program EON, which compares and scores compounds by matching electrostatic properties. Using these techniques, 50 compounds were selected, ordered, and tested. The tested compounds possessed novel chemical scaffolds when compared to the input query compounds. Several hits with low micromolar activity were identified and follow-up scaffold-based searches resulted in the identification of a lead series with submicromolar enzyme inhibition, high ligand efficiency, and a novel scaffold. Additionally, one of the most active compounds showed promising whole-cell antibacterial activity against several Gram-positive and Gram-negative species, including the target pathogen. The results of a preliminary structure-activity relationship analysis are presented.

Severe Acute Respiratory Syndrome-Coronavirus Papain-Like Novel Protease Inhibitors: Design, Synthesis, Protein-Ligand X-ray Structure and Biological Evaluation

The design, synthesis, X-ray crystal structure, molecular modeling, and biological evaluation of a series of new generation SARS-CoV PLpro inhibitors are described. A new lead compound 3 (6577871) was identified via high-throughput screening of a diverse chemical library. Subsequently, we carried out lead optimization and structure-activity studies to provide a series of improved inhibitors that show potent PLpro inhibition and antiviral activity against SARS-CoV infected Vero E6 cells. Interestingly, the (S)-Me inhibitor 15 h (enzyme IC(50) = 0.56 microM; antiviral EC(50) = 9.1 microM) and the corresponding (R)-Me 15 g (IC(50) = 0.32 microM; antiviral EC(50) = 9.1 microM) are the most potent compounds in this series, with nearly equivalent enzymatic inhibition and antiviral activity. A protein-ligand X-ray structure of 15 g-bound SARS-CoV PLpro and a corresponding model of 15 h docked to PLpro provide intriguing molecular insight into the ligand-binding site interactions.

Structure-based design, synthesis, and biological evaluation of a series of novel and reversible inhibitors for the severe acute respiratory syndrome-coronavirus papain-like protease.

We describe here the design, synthesis, molecular modeling, and biological evaluation of a series of small molecule, nonpeptide inhibitors of SARS-CoV PLpro. Our initial lead compound was identified via high-throughput screening of a diverse chemical library. We subsequently carried out structure-activity relationship studies and optimized the lead structure to potent inhibitors that have shown antiviral activity against SARS-CoV infected Vero E6 cells. Upon the basis of the X-ray crystal structure of inhibitor 24-bound to SARS-CoV PLpro, a drug design template was created. Our structure-based modification led to the design of a more potent inhibitor, 2 (enzyme IC(50) = 0.46 microM; antiviral EC(50) = 6 microM). Interestingly, its methylamine derivative, 49, displayed good enzyme inhibitory potency (IC(50) = 1.3 microM) and the most potent SARS antiviral activity (EC(50) = 5.2 microM) in the series. We have carried out computational docking studies and generated a predictive 3D-QSAR model for SARS-CoV PLpro inhibitors.

Structure-based design, synthesis, and biological evaluation of peptidomimetic SARS-CoV 3CLpro inhibitors.

Abstract Structure-based design, synthesis, and biological evaluation of a series of peptidomimetic severe acute respiratory syndrome-coronavirus chymotrypsin-like protease inhibitors are described. These inhibitors were designed and synthesized based upon our X-ray crystal structure of inhibitor 1 bound to SARS-CoV 3CLpro. Incorporation of Boc-Ser as the P4-ligand resulted in enhanced SARS-CoV 3CLpro inhibitory activity. Structural analysis of the inhibitor-bound X-ray structure revealed high binding affinity toward the enzyme.