Discovery of novel EGFR tyrosine kinase inhibitors by structure-based virtual screening

By using of structure-based virtual screening, 13 novel epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors were discovered from 197,116 compounds in the SPECS database here. Among them, 8 compounds significantly inhibited EGFR kinase activity with IC(50) values lower than 10 μM. 3-{[1-(3-Chloro-4-fluorophenyl)-3,5-dioxo-4-pyrazolidinylidene]methyl}phenyl 2-thiophenecarboxylate (13), particularly, was the most potent inhibitor possessing the IC(50) value of 3.5 μM. The docking studies also provide some useful information that the docking models of the 13 compounds are beneficial to find a new path for designing novel EGFR inhibitors.     

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.     

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 small molecule inhibitors of integrin alphavbeta3 through structure-based virtual screening

Inhibitors of integrin alphavbeta3 have been implicated in the treatment of a variety of diseases, including tumor metastasis, neovascularization, osteoporosis, and rheumatoid arthritis. It is therefore desirable to develop new types of small molecule inhibitors of integrin alphavbeta3. Here we describe the discovery of novel classes of small molecule inhibitors, via structure-based virtual screening, that target the ligand binding site of integrin alphavbeta3. Application of the docking procedure for screening of a commercially available compound database resulted in a 1774-fold reduction in the size of the screening set (88695 to 50 compounds) and gave a hit-rate of 14% upon biological evaluation (IC50 value ranging from 30 to 200 microM). The best hit, compound 37, 3,4-dichloro-phenylbiguanide, showed inhibitory activity, in a time- and dose-dependent manner, in both cell motility and angiogenesis assays. Based on the best hit, compound 37, a more effective derivative compound 62 has been identified. Furthermore, molecular graphics analyses of a series of substituted phenylbiguanides were carried out to predict the binding mode between the active compounds and integrin alphavbeta3. Our results indicate that the substituted phenylbiguanides might be involved in the inhibition of bivalent cation-mediated ligand binding of integrin alphavbeta3.     

Discovery of non-peptide inhibitors of Plasmepsin II by structure-based virtual screening

Plasmepsin II (PM II) is an attractive target for anti-malaria drug discovery, which involves in host hemoglobin degradation in the acidic food vacuole. In this study, we demonstrated the successful use of structure-based virtual screening to identify inhibitors of PM II from two chemical database. Five novel non-peptide inhibitors were identified and revealed moderate inhibitory potencies with IC₅₀ ranged from 4.62 ± 0.39 to 9.47 ± 0.71 μM. The detailed analysis of binding modes using docking simulations for five inhibitors showed that the inhibitors could be stabilized by forming multiple hydrogen bonds with catalytic residues (Asp 34 and Asp 214) and also with other key residues.     

Discovery of novel class 1 phosphatidylinositide 3-kinases (PI3K) fragment inhibitors through structure-based virtual screening

The discovery of ligand efficient and lipophilicity efficient fragment inhibitors of class 1 phosphatidylinositide 3-kinases (PI3K) is reported. A fragment version of the AstraZeneca compound bank was docked to a homology model of the PI3K p110β isoform. Interaction-based scoring of the predicted binding poses served to further prioritise the virtual fragment hits. Experimental screening confirmed potency for a total of 18 fragment inhibitors, belonging to five different structural classes.     

Identification of novel inhibitors of extracellular signal-regulated kinase 2 based on the structure-based virtual screening

Extracellular signal-regulated kinase 2 (ERK2) has become an attractive target for the development of therapeutics for the treatment of cancer. We have been able to identify eight new inhibitors of ERK2 by means of a drug design protocol involving the virtual screening with docking simulations and in vitro enzyme assay. The newly discovered inhibitors can be categorized into three structural classes and reveal a significant potency with IC(50) values ranging from 1 to 30 microM. Therefore, all of the three inhibitor scaffolds deserve further development by structure-activity relationship or de novo design methods. Structural features relevant to the stabilizations of the newly identified inhibitors in the ATP-binding site of ERK2 are discussed in detail.     

Discovery of a novel acetylcholinesterase inhibitor by structure-based virtual screening techniques

Acetylcholinesterase (AChE) is considered to be one of the most important targets for the treatment of Alzheimer's disease (AD). Previously our group has reported a series of tacrine-based hybrids as potent AChE inhibitors (AChEI). To discover more novel scaffolds, molecular docking and dynamics stimulation were applied to acquire the binding models of AChE with the most prominent compounds from our work. A structure-based pharmacophore model plus shape constraints was generated from the binding models and it was then employed to virtually screen commercial databases, giving a focused hit list of candidates. Subsequently, we scored the hit compounds by their molecular binding energies, which were calculated by MM/PBSA method. Fifteen compounds were selected and purchased for testing their anti-AChE effects, while seven of them showed inhibitory effects with IC(50) values ranging from 1.5 to 9.8 μM. The drug-like properties of these compounds, including LogD, AlogP, molecular volume and Lipinski rule of five, were also calculated. Compounds 12 and 16 (IC(50)=2.5 and 1.5 μM, respectively) exhibited potent activity and acceptable drug-like properties, thus might serve as leads for further modification. The data suggest that the presented model might be a valid approach for identification and development of new AChEIs.     

Identification of novel PARP-1 inhibitors by structure-based virtual screening

Poly(ADP-ribose)polymerase-1 (PARP-1) is an abundant and ubiquitous chromatin-bound nuclear protein. PARP-1, a DNA repair enzyme, has been in the limelight as a chemotherapeutic target. In this study, we demonstrated the successful use of structure-based virtual screening to identify inhibitors of PARP-1 from Otava databases comprised of nearly 260,000 compounds. Five novel inhibitors belonging to thienopyrimidinone, isoquinolinoquinazolinone, pyrroloquinazolinone, and cyclopentenothienopyrimidinone scaffolds revealed inhibitory potencies with IC₅₀ values ranged from 9.57 μM to 0.72 μM. Structural features relevant to the activity of these novel compounds within the active site of PARP-1 are discussed in detail and will guide future SAR investigation on these scaffolds.     

Discovery of novel small-molecule Src kinase inhibitors via a kinase-focused druglikeness rule and structure-based virtual screening

Overexpression of the non-receptor tyrosine kinase Src is implicated in the development and progression of various human cancers. Blocking signalling pathways mediated by Src is believed to be a promising anticancer strategy. We report herein the discovery of novel small-molecule Src inhibitors by crystal structure-based virtual screening. A kinase-focused druglikeness rule was proposed and used in the design of compound library. Combination of large-scale docking with DOCK and rescoring with GOLD resulted in 6 hits with moderate to potent inhibitory activity against Src. Among them, compound 1 with an IC₅₀ of 1.2 μM shows the most potent inhibitory activity. By using molecular docking, binding models of the top 3 hits (ranked by potency and ligand efficiency) with Src were constructed to provide a rational strategy that simultaneously exploits hydrogen bonding interaction in the hinge region and hydrophobic stacking in the back pocket. This approach is instructive and meaningful to further structure-based drug design of Src inhibitors.     

Discovery of the inhibitors of tumor necrosis factor alpha with structure-based virtual screening

Tumor necrosis factor alpha (TNF-α) has been considered as one of the attractive drug targets for allergic diseases including asthma. We have been able to identify five novel TNF-α inhibitors with a drug-design protocol involving the structure-based virtual screening and in vitro cell-based assay for antagonistic activity. Because the newly discovered inhibitors are structurally diverse and have the desirable physicochemical properties as a drug candidate, they deserve a further investigation as anti-asthmatic drugs. The interactions of the identified inhibitors in the binding site of TNF-α dimer are addressed in detail to understand the mechanisms for the stabilization of the inactive dimeric form of TNF-α.     

Discovery of a novel protein kinase B inhibitor by structure-based virtual screening

Protein kinase B (PKB/AKT) is a promising and attractive therapeutic target in anticancer drug development. Herein, we report the findings of virtual screening for novel ATP-competitive inhibitors of AKT-2 using 2D- and 3D-similarity searching and sequential molecular docking with two crystal structures of AKT-2. Our multistep approach led to the identification of a low micromolar AKT-2 inhibitor (IC₅₀ = 1.5 μM) with a novel scaffold. The experimentally validated inhibitor represents the starting point for an optimization program.     

Identification of novel monoamine oxidase B inhibitors by structure-based virtual screening

Parkinson’s disease is a severe debilitating neurodegenerative disorder. Recently, it was shown that the peroxisome proliferating-activator receptor-γ agonist pioglitazone protected mice from 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine neurotoxicity due to its ability to inhibit monoamine oxidase B (MAO-B). Docking studies were initiated to investigate pioglitazone’s interactions within the substrate cavity of MAO-B. Modeling studies indicated that the thiazolidinedione (TZD) moiety was a likely candidate for its specificity to MAO-B. To explore this potential novel MAO-B scaffold, we performed a structure-based virtual screen to identify additional MAO-B inhibitors. Our search identified eight novel compounds containing the TZD-moiety that allowed for a limited study to identify structural requirements for binding to MAO-B. Inhibition assays identified two TZDs (A6355 and L136662) which were found to inhibit recombinant human MAO-B with IC₅₀ values of 82 and 195 nM, respectively.     

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.     

Discovery of novel alpha-glucosidase inhibitors based on the virtual screening with the homology-modeled protein structure

Discovery of alpha-glucosidase inhibitors has been actively pursued with the aim to develop therapeutics for the treatment of diabetes and the other carbohydrate mediated diseases. We have been able to identify 13 novel alpha-glucosidase inhibitors by means of a computer-aided drug design protocol involving homology modeling of the target protein and the virtual screening with docking simulations under consideration of the effects of ligand solvation in the binding free energy function. Because the newly discovered inhibitors are structurally diverse and reveal a significant potency with IC(50) values lower than 50 microM, all of them can be considered for further development by structure-activity relationship studies or de novo design methods. Structural features relevant to the interactions of the newly identified inhibitors with the active site residues of alpha-glucosidase are discussed in detail.     

Discovery of potent inhibitors of receptor protein tyrosine phosphatase sigma through the structure-based virtual screening

Receptor protein tyrosine phosphatase sigma (PTPσ) has proved to be a promising target for the development of therapeutics for the treatment of neurological diseases. Here, we report the first example for a successful application of the structure-based virtual screening to identify the novel small-molecule inhibitors of PTPσ. These inhibitors revealed high potencies with the associated IC₅₀ values ranging from 0.1 to 1.3 μM and were also screened for having desirable physicochemical properties as a drug candidate. Therefore, they deserve consideration for further development by structure–activity relationship studies to develop therapeutics for neurological diseases. Structural features relevant to the stabilization of the newly identified inhibitors in the active site of PTPσ are discussed in detail.     

A novel class of Hsp90 inhibitors isolated by structure-based virtual screening

A novel class of 3-phenyl-2-styryl-3H-quinazolin-4-one Hsp90 inhibitors with in vitro anti-tumor activity are identified by structure-based virtual screening of a chemical database with docking simulations in the N-terminal ATP-binding site, in vitro ATPase assay using yeast Hsp90, and cell-based Her2 degradation assay in a consecutive fashion. These results exemplify the usefulness of the structure-based virtual screening with molecular docking in drug discovery. The structural features responsible for a tight binding of the inhibitors in the active site of Hsp90 are discussed in detail.     

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.     

Discovery of novel benzene 1,3-dicarboxylic acid inhibitors of bacterial MurD and MurE ligases by structure-based virtual screening approach

The peptidoglycan biosynthetic pathway provides an array of potential targets for antibacterial drug design, attractive especially with respect to selective toxicity. Within this pathway, the members of the Mur ligase family are considered as promising emerging targets for novel antibacterial drug design. Based on the available MurD crystal structures co-crystallised with N-sulfonyl glutamic acid inhibitors, a virtual screening campaign was performed, combining three-dimensional structure-based pharmacophores and molecular docking calculations. A novel class of glutamic acid surrogates—benzene 1,3-dicarboxylic acid derivatives—were identified and compounds 14 and 16 found to possess dual MurD and MurE inhibitory activity.     

Discovery of MEK/PI3K dual inhibitor via structure-based virtual screening

Mitogen/extracellular signal-regulated kinase (MEK) and phosphoinositide 3-kinase (PI3Kα) are considered to be promising targets for the development of anticancer therapeutics. We report the first example of the successful application of structure-based virtual screening to identify novel inhibitors of MEK with IC(50) values ranging from 1 to 25 μM. One of the four newly identified MEK inhibitors was found to be also a potent inhibitor of PI3Kα with submicromolar inhibitory activity (IC(50)=0.3 μM). Because this dual inhibitor was screened for having desirable physicochemical properties as a drug candidate as well as the high inhibitory activities against MEK and PI3Kα, it warrants further development through structure-activity relationship (SAR) studies to optimize the inhibitory and anticancer activities. Structural features relevant to the stabilization of the dual inhibitor in the ATP-binding sites of MEK1 and PI3Kα are addressed in detail.