Identification of influenza PA-Nter endonuclease inhibitors using pharmacophore- and docking-based virtual screening

Searching for new antiviral agents, we focused our interest on the influenza PA-Nter endonuclease. Therefore, we developed a three-dimensional pharmacophore model which contains the binding features addressed to the metal-chelating active site. The obtained hypothesis has been fruitfully employed to select three “hit compounds” through an in silico screening campaign on our in-house database of small molecules. We studied the binding poses of these hit compounds using molecular docking, and subjected them to an enzymatic assay with recombinant PA-Nter endonuclease. Compound 20 proved the most active inhibitor of the endonucleolytic cleavage reaction, with an IC₅₀ value of 12?μM.     

Discovery of new potent inhibitors for carbonic anhydrase IX by structure-based virtual screening

Through structure-based virtual screening, some dozen of benzene sulfonamides with novel scaffolds are identified as potent inhibitors against carbonic anhydrase (CA) IX with IC₅₀ values ranging from 2.86 to 588.34 nM. Among them, compounds 1 and 9 show high selectivity against tumor-target CA IX over CA II (the selectivity ratios are 21.3 and 136.6, respectively). The possible binding poses of hit compounds are also explored and the selectivity is elucidated by molecular docking simulations. The hit compounds discovered in this work would provide novel scaffolds for further hit-to-lead optimization.     

Identification of a novel selective small-molecule inhibitor of protein arginine methyltransferase 5 (PRMT5) by virtual screening,resynthesis and biological evaluations

As one of the most promising anticancer target in protein arginine methyltransferase (PRMT) family, PRMT5 has been drawing more and more attentions, and many efforts have been devoted to develop its inhibitors. In this study, three PRMT5 inhibitors (9, 16, and 23) with novel scaffolds were identified by performing pharmacophore- and docking-based virtual screening combined with in vitro radiometric-based scintillation proximity assay (SPA). Substructure search based on the scaffold of the most active 9 afforded 26 additional analogues, and SPA results indicated that two analogues (9–1 and 9–2) showed increased PRMT5 inhibitory activity compared with the parental compound. Resynthesis of 9, 9–1, and 9–2 confirmed their PRMT5 enzymatic inhibition activity. In addition, compound 9–1 displayed selectivity against PRMT5 over other key homological members (PRMT1 and CARM1 (PRMT4)). While the structure–activity relationship (SAR) of this series of compounds was discussed to provide clues for further structure optimization, the probable binding modes of active compounds were also probed by molecular docking and molecular dynamics simulations. Finally, the antiproliferative effect of 9–1 on MV4-11 leukemia cell line was confirmed and its impact on regulating the target gene of PRMT5 was also validated. The hit compounds identified in this work have provided more novel scaffolds for future hit-to-lead optimization of small-molecule PRMT5 inhibitors.     

Identification of potent bovine viral diarrhea virus inhibitors by a structure-based virtual screening approach

Bovine viral diarrhea virus (BVDV) is a pestivirus whose infection in cattle is globally distributed. The use of antivirals could complement vaccination as a tool of control and reduce economic losses. The RNA-dependent RNA polymerase (RdRp) of the virus is essential for its genome replication and constitutes an attractive target for the identification of antivirals. With the aim of obtaining selective BVDV inhibitors, the crystal structure of BVDV RdRp was used to perform a virtual screening. Approximately 15,000 small molecules from commercial and in-house databases were evaluated and several structurally different compounds were tested in vitro for antiviral activity. Interestingly, of twelve evaluated compounds, five were active and displayed EC₅₀ values in the sub and low-micromolar range. Time of drug addition experiment and measured intracellular BVDV RNA showed that compound 7 act during RNA synthesis. Molecular Dynamics and MM/PBSA calculation were done to characterize the interaction of the most active compounds with RdRp, which will allow future ligand optimization. These studies highlight the use of in silico screening to identify a new class of BVDV inhibitors.     

Discovery of LRRK2 inhibitors by using an ensemble of virtual screening methods

In this paper, we present the results of a ligand- and structure-based virtual screen targeting LRRK2, a kinase that has been implicated in Parkinson’s disease. For the ligand-based virtual screen, the structures of 12 competitor compounds were used as queries for a variety of 2D and 3D searches. The structure-based virtual screen relied on homology models of LRRK2, as no X-ray structure is currently available in the public domain. From the virtual screening, 662 compounds were purchased, of which 35 showed IC₅₀ values below 10 μM in wild-type and/or mutant LRRK2 (a hit rate of 5.3%). Of these 35 hits, four were deemed to have potential for medicinal chemistry follow-up.     

Discovery of a potent angiotensin converting enzyme inhibitor via virtual screening

Prompted by the prominent role of angiotensin converting enzyme (ACE) in hypertension, heart failures, myocardial infarction and diabetic nephropathy, we have attempted to discover novel ACE inhibitors through ligand-based virtual screening. Molecular docking method and rigorously validated model was utilized to search a natural compounds database. Finally, 36 compounds were randomly selected and subjected to in vitro ACE kinase inhibitory assay using fluorescence assays method. The results showed that three compounds (Licochalcone A, Echinatin and EGCG) have strong potential to be developed as a new class of ACE inhibitors. Further chemical modification via fragment modifications guided by structure and ligand-based computational methodologies can lead to discover better agents as potential clinical candidates.     

The discovery of novel and selective fatty acid binding protein 4 inhibitors by virtual screening and biological evaluation

Adipocyte fatty acid binding protein (AFABP, FABP4) has been proven to be a potential therapeutic target for diabetes, atherosclerosis and inflammation-related diseases. In this study, a series of new scaffolds of small molecule inhibitors of FABP4 were identified by virtual screening and were validated by a bioassay. Fifty selected compounds were tested, which led to the discovery of seven hits. Structural similarity-based searches were then performed based on the hits and led to the identification of one high affinity compound 33b (K_i = 0.29 ± 0.07 μM, ΔT_m = 8.5 °C). This compound’s effective blockade of inflammatory response was further validated by its ability to suppress pro-inflammatory cytokines induced by lipopolysaccharide (LPS) stimulation. Molecular dynamics simulation (MD) and mutagenesis studies validated key residues for its inhibitory potency and thus provide an important clue for the further development of drugs.     

Expansion of the scaffold diversity for the development of highly selective butyrylcholinesterase (BChE) inhibitors: Discovery of new hits through the pharmacophore model generation,virtual screening and molecular dynamics simulation

Butyrylcholinesterase (BChE) is recently considered as a new target for the treatment of Alzheimer’s disease (AD). There is an increasing interest in the development of BChE inhibitors. In the present study, a set of pharmacophore models for BChE was developed and validated. Based on the models, virtual screening was performed on five compound collections, from which seventeen potential hits were retained for biological investigation. In total, eight of these seventeen potential hits showed selective BChE inhibitory activity. Moreover, four compounds displayed IC₅₀ values in sub-micromolar range on eqBChE and three displayed IC₅₀ values < 2 μM on huBChE. The diverse scaffolds of the active compounds provided good starting point further development of selective BChE inhibitors. As far as we concerned, here we disclose the first selective pharmacophore model targeting BChE. The high rate of the model in the identification of active hits indicates it is a valuable tool for the development of selective BChE inhibitors, which may benefit the treatment of AD.     

Structure-based virtual screening and biological evaluation of potent and selective ADAM12 inhibitors

We describe a series of potent and selective inhibitors of ADAM12 that were discovered using computational screening of a focused virtual library. The initial structure-based virtual screening selected 64 compounds from a 3D database of 67,062 molecules. Being evaluated by a cell-based ADAM12 activity assay, compounds 5, 11, 14, 16 were further identified as the potent and selective inhibitors of ADAM12 with low nanomolar IC₅₀ values. The mechanism underlying the potency and selectivity of a representative compound, 5, was investigated through molecular docking studies.     

Discovery of the first SecA inhibitors using structure-based virtual screening

Bacterial protein secretion is a critical and complex process. The Sec machinery provides a major pathway for protein translocation across and integration into the cellular membrane in bacteria. Small molecule probes that perturb the functions of individual member proteins within the Sec machinery will be very important research tools as well as leads for future antimicrobial agent development. Herein we describe the discovery of inhibitors, through virtual screening, that specifically act on SecA ATPase, which is a critical member of the Sec system. These are the very first inhibitors reported for intrinsic SecA ATPase.     

Discovery of natural estrogen receptor modulators with structure-based virtual screening

Eleven compounds were identified as estrogen receptor modulators from an in-house natural product database (NPD) by structure-based virtual screening for ERα and ERβ. Among them, 3 compounds were confirmed as ER agonists and 8 compounds were confirmed as ER antagonists by yeast two-hybrid (Y2H) assay, with EC₅₀ values ranging from several micromolar to 100 micromolar. In this study, a novel series of cycloartane triterpenoids isolated from Schisandra glaucescens Diels was found to have ER antagonistic effect, the most potent antagonist of which exhibited activity with EC₅₀ value of 2.55 and 4.68 μM for ERα and ERβ, respectively. Moreover, the types of modulation and subtype selectivity were also investigated through molecular docking simulation.     

Identification of a novel SPT inhibitor WXP-003 by docking-based virtual screening and investigation of its anti-fungi effect

Serine palmitoyltransferase (SPT) plays the key role on catalysing the formation of 3-ketodihydrosphingosine, which is the first step of the de novo biosynthesis of sphingolipids. SPT is linked to many diseases including fungal infection, making it a potential therapeutic target. Thus, a logical docking-based virtual screening method was used to screen selective SPT inhibitor against fungi, not human. We used myriocin-similarity database to identify compounds with good binding with fungal SPT and poor binding with homology human SPT model. Preliminary bio-assay led to the discovery of a promising inhibitor WXP-003, which displayed good inhibitory activity against diversity fungi strains with MIC ranging from 0.78 to 12.5 μg/mL. WXP-003 could significantly reduce sphingolipids content in fungi and no effect on mouse fibroblast cell line L929. Molecular dynamics simulation depicted that SPT/WXP-003 complex formed the favoured interactions. Taken together, discovery of WXP-003 provided valuable guide for the development of novel anti-fungal agents.     

Homology modeling,docking and structure-based virtual screening for new inhibitor identification of Klebsiella pneumoniae heptosyltransferase-III

Abstract

Klebsiella pneumoniae (K. pneumoniae) is a Gram-negative opportunistic pathogen commonly associated with hospital-acquired infections that are often resistant even to antibiotics. Heptosyltransferase (HEP) belongs to the family of glycosyltransferase-B (GT-B) and plays an important in the synthesis of lipopolysaccharides (LPS) essential for the formation of bacterial cell membrane. HEP-III participates in the transfer of heptose sugar to the outer surface of bacteria to synthesize LPS. LPS truncation increases the bacterial sensitivity to hydrophobic antibiotics and detergents, making the HEP as a novel drug target. In the present study, we report the 3D homology model of K. pneumoniae HEP-III and its structure validation. Active site was identified based on similarities with known structures using Dali server, and structure-based pharmacophore model was developed for the active site substrate ADP. The generated pharmacophore model was used as a 3D search query for virtual screening of the ASINEX database. The hit compounds were further filtered based on fit value, molecular docking, docking scores, molecular dynamics (MD) simulations of HEP-III complexed with hit molecules, followed by binding free energy calculations using Molecular Mechanics-Poisson–Boltzmann Surface Area (MM-PBSA). The insights obtained in this work provide the rationale for design of novel inhibitors targeting K. pneumoniae HEP-III and the mechanistic aspects of their binding.

Communicated by Ramaswamy H. Sarma     

Discovery of Baicalin as NDM-1 inhibitor: Virtual screening,biological evaluation and molecular simulation

The emergence and worldwide spreads of carbapenemase producing bacteria, especially New Delhi metallo-β-lactamase (NDM-1), has made a great challenge to treat antibiotics-resistant bacterial infections. It can hydrolyse almost all β-lactam antibacterials. Unfortunately, there are no clinically useful inhibitors of NDM-1. In this study, structure-based virtual screening method led to the identification of Baicalin as a novel NDM-1 inhibitor. Inhibitory assays showed that Baicalin possessed a good inhibition of NDM-1 with IC₅₀ values of 3.89 ± 1.1 μM and restored the susceptibility of E.coli BL21(DE3)/pET28a-NDM-1 to clinically used β-lactam antibiotics. Molecular docking and molecular dynamics simulations obtained a complex structure between the relatively stable inhibitor molecule Baicalin and NDM-1 enzyme. The results showed that the carboxyl group in Baicalin directly interacted with the Zn²⁺ in the active center of the enzyme, and the residues such as Glu152, Gln123, Met67, Trp93 and Phe70 in the enzyme formed hydrogen bonds with Baicalin to further stabilize the complex structure.     

Discovery of novel HCV polymerase inhibitors using pharmacophore-based virtual screening

We report the use of pharmacophore-based virtual screening as an efficient tool for the discovery of novel HCV polymerase inhibitors. A three-dimensional pharmacophore model for the HCV-796 binding site, NNI site IV inhibitor, to the enzyme was built by means of the structure-based focusing module in Cerius2 program. Using these models as a query for virtual screening, we produced a successful example of using pharmacophore-based virtual screening to identify novel compounds with HCV replicon assay through inhibition of HCV polymerization. Among the hit compounds, compounds 1 and 2 showed 56% and 48% inhibition of NS5B polymerization activity at 20 μM, respectively. In addition, compound 1 also exhibited replicon activity with EC₅₀ value of 2.16 μM. Following up the initial hit, we obtained derivatives of compound 1 and evaluated polymerization inhibition activity and HCV replicon assay. These results provide information necessary for the development of more potent NS5B inhibitors.     

Small molecule inhibitors of SHP2 tyrosine phosphatase discovered by virtual screening

SHP2, encoded by PTPN11, is a non-receptor protein tyrosine phosphatase (PTP) containing two tandem Src homology-2 (SH2) domains. It is expressed ubiquitously and plays critical roles in growth factor mediated processes, primarily by promoting the activation of the RAS/ERK signaling pathway. Genetic and biochemical studies have identified SHP2 as the first bona fide oncoprotein in the PTP superfamily, and a promising target for anti-cancer and anti-leukemia therapy. Here, we report a structure-based approach to identify SHP2 inhibitors with a novel scaffold. Through sequential virtual screenings and in vitro inhibition assays, a reversible competitive SHP2 inhibitor (C21) was identified. C21 is structurally distinct from all known SHP2 inhibitors. Combining molecular dynamics simulation and binding free energy calculation, a most likely binding mode of C21 with SHP2 is proposed, and further validated by site-directed mutagenesis and structure-activity relationship studies. This binding mode is consistent with the observed potency and specificity of C21, and reveals the molecular determinants for further optimization based on the new scaffold.     

Discovery of new inhibitor for PDE3 by virtual screening

In this work, we tried to find a new scaffold for a PDE3 using virtual screening for the obesity treatment. We first analyzed structural features for the known PDE3 inhibitors based on the PDE3B-ligand complex structure, and then carried out a docking study based on PDE3B 3D structure. We obtained a compound as potent PDE3 inhibitor stimulating lipolysis in murine adipocytes and human adipocytes.     

Discovery of novel DNA methyltransferase 3A inhibitors via structure-based virtual screening and biological assays

DNA methyltransferases are involved in diverse biological processes and abnormal methylation patterns play essential roles in cancer initiation and progression. DNA methyltransferase 3A (DNMT3A) acting as a de novo DNA methyltransferase, has gained widespread attention especially in haematological diseases. To date, large numbers of DNMTs inhibitors have been discovered, however, the small molecular inhibitors targeting DNMT3A are still in its infancy. In this study, structure-based virtual screening in combination with biological assays was performed to discovery potent novel DNMT3A inhibitors. Compound 40 and 40_3 displayed comparable in vitro inhibitory activity against DNMT3A with IC₅₀ values of 46.5 μM and 41 μM, respectively. Further binding mode analysis suggested these molecules inhibit DNMT3A activity through binding the S-adenosyl-l-methionine (SAM) pocket. Overall, 40 and 40_3 may serve as novel scaffolds for further optimization and small molecular probes for investigating DNMT3A function.     

Identification of a new class of non-electrophilic TRPA1 agonists by a structure-based virtual screening approach

Recent work has gradually been clarifying the binding site of non-electrophilic agonists on the transient receptor potential A1 (TRPA1). This study searched for non-electrophilic TRPA1 agonists by means of in silico drug discovery techniques based on three-dimensional (3-D) protein structure. First, agonist-bound pocket structures were explored using an advanced molecular dynamics simulation starting from the cryo-electron microscopic structure of TRPA1, and several pocket structures suitable for virtual screening were extracted by structure evaluation using known non-electrophilic TRPA1 agonists. Next, 49 compounds were selected as new non-electrophilic agonist candidates from a library of natural products comprising 10,555 compounds by molecular docking toward these pocket structures. Measurement of the TRPA1 agonist activity of these compounds showed notable TRPA1 activation with three compounds (decanol, 2-ethyl-1-hexanol, phenethyl butanoate). Decanol and 2-ethyl-1-hexanol, which are categorized as fatty alcohols, in particular have a novel chemical scaffold for TRPA1 activation. The results of this study are expected to be of considerable use in understanding the molecular mechanism of TRPA1 recognition by non-electrophilic agonists.     

Discovery of 9-phenylacridinediones as highly selective butyrylcholinesterase inhibitors through structure-based virtual screening

Butyrylcholinesterase (BuChE) is considered a promising drug target as it plays an important role in the progression of late stage Alzheimer’s disease (AD). Two compound libraries were selected and 64 124 amine containing moieties were screened using a hierarchical virtual screening protocol to discover new selective BuChE inhibitors. From these and subsequent docking experiments, 9-phenylacridinedione (9-PAD) was identified as a promising scaffold for selective inhibition of BuChE. Selected top dock scored 9-PADs were assayed and compounds 3 and 6 exhibited potent and highly selective human BuChE inhibition (IC₅₀: 98 nM and 142 nM, respectively). Both molecules were also predicted to show sufficient brain permeability, not have any substantial toxicities, especially hepatotoxicity, and no significant in vitro cytotoxicity against SH-SY5Y neuroblastoma cells at concentrations up to 100 µM. These findings indicate that 9-PAD is a promising lead structure for the development of agents able to treat late stage AD.