<i>In-Silico</i>Identification of Anticancer Compounds;Ligand-Based Pharmacophore Approach against EGFR Involved in Breast Cancer

Objective: Breast cancer is a public health challenge on a global scale that is caused by environmental or genetic factors. Breast cancer is affecting both males and females, but there is still a lack of effective drugs with improved potency and admissibility against breast cancer as many of the breast cancer drugs have severe side effects. Methods: The docking approach has been used to find a new compound for breast cancer with more efficacy and tolerance and with lesser side effects. A ligand-based pharmacophore approach has been generated for 39 anticancer compounds with significance for the development of new drugs. Result: Through docking, the approach found new lead compounds for breast cancer. The proposed pharmacophore model in this study contains two HBAs and one HYD, one hydrophobic domain and two Aromatic rings and the estimated distance range is minimum to maximum of derived pharmacophore features. Conclusion: Based on this research, it is proposed that these two lead compounds may be able to be used against EGFR in breast cancer. New compounds can be identified based on common features in the Pharmacophore model. 3D pharmacophore triangle could be used for further studies because this pharmacophore has better merging and in the future for more studies can suggest the same distance range of pharmacophore features as this pharmacophore.

Pharmacophore modeling for the identification of small-molecule inhibitors of TACE

OBJECTIVE To employ pharmacophore modeling to identify a TACE inhibitor from an inhouse database of 66 organic compounds.METHODS To identify the common features required for TACE inhibition,we generated a pharmacophore model from a set of TACE-selective inhibitor using the Common Feature Pharmacophore Model protocol implemented in Discovery Studio 3.1.1.A fluorimetric assay was used to investigate the potential ability of compounds to inhibit TACE enzymatic activity.The ability of compound 1 to inhibit TACE activity in a human monocyte THP-1 cell line was evaluated by ELISA.RESULTS In this study,apharmacophore model constructed from a training set of TACE inhibitors was used to screen an in-house database of organic compounds,from which compound 1 emerged as a top candidate.In a cell-free assay,compound 1inhibited TACE enzymatic activity in a dose-dependent manner.Moreover,compound 1 inhibited the production of soluble TNF-αin human acute monocytic leukemia THP-1 cells without impacting nitric oxide production,and exhibited anti-proliferative activity against THP-1cells.CONCLUSION Compound 1 was found to inhibit TACE enzymatic activity in a cell-free system and LPS-induced TNF-αsecretion in cellulo.We envisage that compound 1 may be employed as a useful scaffold for the development of more potent TACE inhibitors.

Common Pharmacophore Model and 3D-QSAR Analysis of Two Different Tyrphostin Families

In the present study we investigated two groups of small molecular tyrosine kinascphosphory lation inhibilors (tyrphostins) with quite different structures (19 compounds of thebenzylidene malononitrile famliy and 13 compounds of the 3-substituted indolin-2-ones family).With the aid of a pharmacophore analysis method (CATALYST). a common three-dimensionalpharmacophore model to these two kinds of molecules has been discovered. A better 3D-QSARanalysis based on the generaled pharmacophore model was conducted (correlate coeffcientR-0.956) and the model shows very good predictivc ability.

In silico Discovery of Novel FXa Inhibitors by Pharmacophore Modeling and Molecular Docking

Coagulation Factor Xa(FXa)is the crucial enzyme at the convergent point of the intrinsic and extrinsic coagulation pathways.The inhibition of FXa is an effective approach against thrombotic diseases.In the present study,a specific strategy is reported to discover 10 novel FXa inhibitors based on ligand-based(pharmacophore)virtual screening and molecular docking analysis from a dataset of specs(containing 220000 molecules).The binding modes analysis provide insights into the contribution of particular structural moieties of the compounds towards their activity against FXa,and 10 novel structural compounds were discovered as potent candidate molecules.This work could be helpful in further design and development of FXa inhibitors.

Pharmacophore Based Virtual Screening for Identification of Novel CDK₂Inhibitors

CDK2 is one of the most important members of Cyclin-dependent kinases. It is a critical modulator of various oncogenic signaling pathways, and its activity is vital for loss of proliferative control during oncogenesis. This work has focused on developing a pharmacophore model for CDK2 inhibitors by using a dataset of known inhibitors as a pre-filter throughout the virtual screening and docking process. Consequently, the best pharmacophore model was made of one hydrogen bond acceptor, and two aromatic ring features with a high correlation value of 0.906. The validation findings proved out that the selected model can be used as a filter to screen new molecules like Enamine kinase hinge region directed library against CDK2. As a result, 69 hits were subjected to molecular docking studies. Eventually, three compounds (5909, 701 and 8397) scored good interaction energy values and strong molecular interactions. Hence, they were identified as leads for novel CDK2 inhibitors as anticancer drugs.

Design, Synthesis and Biological Evaluation of Novel Antitubercular Agents by Combining Pyrazoline and Benzoxazole Pharmacophores

Various recent reports on Tuberculosis have alarmed an increase in the patient class and subsequent death rates across the globe. Over and above the spread of more dangerous and fatal forms of tuberculosis like MDR-TB i.e. multiple-drug resistance tuberculosis, XDR-TB i.e. extensively-drug resistance tuberculosis & TDR-TB i.e. total-drug resistance tuberculosis has forwarded an urgent need to discover novel antitubercular agents. The current work is aimed at combining two previously well-known pharmacophores (pyrazoline and benzoxazole nucleus) in order to design and synthesize a series of novel benzoxazole-based pyrazoline derivatives. The synthesized target compounds were structurally confirmed by LCMS, 1H-NMR and 13C-NMR analysis. The target compounds were In vitro evaluated against M. tuberculosis H37Rv strain, multidrug-resistant TB (MDR-TB) and extensively drug-resistant TB (XDR-TB) strains. The In vitro screening results depicted that majority of the target compounds displayed potent activity with MIC in a range of ~0.8 to 6.25 μg/mL. Many compounds were found to be more potent than isoniazid against MDR-TB with MIC value 3.12 μg/mL and XDR-TB with MIC value 12.5 μg/mL. Cytotoxicity assay of these active compounds on VERO cell lines also displayed good selectivity index.

Pharmacophore Model Generation of Thrombin Inhibitors

Thrombin, an important factor of clotting system, take part in a variety of physiological actions, such as blood clotting, anticoagulation, thrombosis and fibrinolysis. Inhibiting thrombin is a pivotal and effective step for the prophylaxis of venous and arterial thrombosis, as well as prevent myocardial infarction for high-risk patients. In this study, a three dimensional pharmacophore model was generated for the molecules which are responsible for vasodilation activities targeting thrombin. Ten compounds with known thrombin-inhibiting activity values were selected as training set to generate the hypothesis using GALAHAD program in SYBYL 7.0 software. The best hypothesis comprises five pharmacophore features: four hydrophobes groups and one positively charged group. It has been further validated towards a test set including known activity compounds obtained from Binding Database, the values of effectively active hit A% and comprehensive evaluation index CAI are respectively 63.33% and 2.34, the pharmacophore was proven to be successful in discriminating active and inactive inhibitors. ?Furthermore, the pharmacophore model was used as a 3D query to screen TCMD (Version 2009) database and 6 hit compounds of higher predicted activity were the reported cardiovascular activities, which may be useful for further study.

Expanding the Boundaries of the Chemical Space of DNA Methyltransferase 1 Modulators

DNA methyltransferase 1 (DNMT1), one of the main epigenetic targets, is involved in the duplication of the DNA methylation pattern during replication, and it is essential for proper mammalian development. Small molecule DNMT1 modulators are attractive for biochemical epigenetic studies and have the potential to become drugs. So far, more than five hundred small molecules have been reported as DNMT1 inhibitors. However, only a limited number of DNMT1 activators have been disclosed because, at least in part, DNMT1 activators are typically regarded as negative data in virtual screening campaigns or optimization projects. This manuscript aims to report the chemical structures and biological activity of small molecules that increase the enzymatic activity of DNMT1. Results of the biochemical experimental assays are discussed. It was found that small molecule activators have a large variety of chemical scaffolds but share pharmacophore features. Visual analysis of the chemical space and multiverse based on molecular fingertips supported that activators are structurally diverse. This is the first report of eight small molecules that increase the enzymatic activity of DNMT1 by more than 400% in an enzymatic-based assay. The outcome warrants further investigation of the epigenetic activity of the compounds in a counter-screen assay, e.g., cell-based and in vivo context.

The forecast of anticancer targets of cryptotanshinone based on reverse pharmacophore-based screening technology

Anticancer targets of cryptotanshinone were evaluated and rapidly forecasted with PharmMapper, a reverse pharmacophore-based screening platform, as well as drug target databases, including PDTD, DrugBank and TTD. The pathway analyses for the collection of anticancer targets screened were carried out based on the KEGG pathway database, followed by the forecast of potential pharmacological activities and pathways of the effects of cryptotanshinone, and verification of some of the targets screened using whole cell tests. The results showed that a total of eight targets with anticancer potential were screened, including MAP2K1, RARα, RXRα, PDK1, CHK1, AR, Ang-1 R, and Kif11. These targets are mainly related to four aspects of the cancer growth: the cell cycle, angiogenesis, apoptosis, and androgen receptor. The cell tests showed that cryptotanshinone can inhibit the viability of human hepatoma cells SMMC-7721, which is related to the reduction of expression of MAP2K1 mRNA. This method provides a strong clue for the study of the anticancer effects and mechanisms of action of cryptotanshinone in the future.

Pharmacophore-based structure optimization of angiotensin converting enzyme inhibitory peptide

Chemical feature based pharmacophore models were generated for an angiotensin converting enzyme(ACE) inhibitory peptide using the Discovery Studio 2.0 pharmacophore modeling approach. The pharmacophore hypothesis selected has five features(one negative ionizable region,one hydrogen bond donor,one hydrogen bond acceptor and two hydrophobic functional groups). Additionally,ACE inhibitory hexapeptide previously obtained from silkworm pupae protein was optimized to target the ACE based on the selected pharmacophore. The results suggest that tri-peptide(thr-val-phe) may be structural determinant of ACE activity. Docking studies further provided confidence for the validity of the selected pharmacophore model to perform structure optimization of the ACE inhibitory peptide.

AncPhore: A versatile tool for anchor pharmacophore steered drug discovery with applications in discovery of new inhibitors targeting metallo-β-lactamases and indoleamine/tryptophan 2,3-dioxygenases

We herein describe AncPhore,a versatile tool for drug discovery,which is characterized by pharmacophore feature analysis and anchor pharmacophore(i.e.,most important pharmacophore features)steered molecular fitting and virtual screening.Comparative analyses of numerous protein-ligand complexes using AncPhore revealed that anchor pharmacophore features are biologically important,commonly associated with protein conservative characteristics,and have significant contributions to the binding affinity.Performance evaluation of AncPhore showed that it had substantially improved prediction ability on different types of target proteins including metalloenzymes by considering the specific contributions and diversity of anchor pharmacophore features.To demonstrate the practicability of AncPhore,we screened commercially available chemical compounds and discovered a set of structurally diverse inhibitors for clinically relevant metallo-β-lactamases(MBLs);of them,4 and 6 manifested potent inhibitory activity to VIM-2,NDM-1 and IMP-1 MBLs.Crystallographic analyses of VIM-2:4 complex revealed the precise inhibition mode of 4 with VIM-2,highly consistent with the defined anchor pharmacophore features.Besides,we also identified new hit compounds by using AncPhore for indoleamine/tryptophan 2,3-dioxygenases(IDO/TDO),another class of clinically relevant metalloenzymes.This work reveals anchor pharmacophore as a valuable concept for target-centered drug discovery and illustrates the potential of AncPhore to efficiently identify new inhibitors for different types of protein targets.

QSAR,docking studies and pharmacophore identification of phenylmethyl phenoxy propyl amino propanoic acid derivatives as leukotriene A_4 hydrolase inhibitors

The enzyme leukotriene A4 (LTA4) plays an important role as precursor of slow reactive substances as LTC4, LTD4, and LTE4. It is an attractive target for molecular modeling and QSAR study. Our effort is mainly focused on exploring the SAR for inhibitors of the LTA4 hydrolase through docking study, pharmacophore modeling and molecular descriptor study. The binding of these small molecules on LTA4 hydrolase enzyme was described by the models developed on 2D molecular descriptors, with good predictive power (39 compounds, 6 descriptors, r2 0.98, SEE 0.167, F-value 268.53, q2 0.90, r2adj 0.97, P-value < 0.0001, SD of residuals 0.15). Docking studies were employed to presume the probable binding conformation of these analogues and exploring the SAR for the compounds. The novel pharmacophore represents the ligand features that are involved in interactions with the target protein, as well as the space around the ligand occupied by the protein. The efforts are aimed to discover the SAR for the inhibitors of LTA4 hydrolase through techniques of QSAR, docking and pharmacophore.

Pharmacophore modeling and virtual screening for the discovery of new fatty acid amide hydrolase inhibitors

A predictive pharmacophore model has been generated from a series of diverse fatty acid amide hydrolase(FAAH)inhibitors and the optimal pharmacophore model applied in virtual screening.The pharmacophore model was based on a training set of 21 compounds carefully selected from the published literatures.The optimal model Hypo-1 included four features(two hydrogen-bond acceptor units,one aromatic hydrophobic unit and one aromatic ring unit)and two excluded volumes.Cross-validation of the model confirmed that Hypo-1 was not generated by chance correlation.A large test set of 55 compounds showed that Hypo-1 performed well in classifying highly active and less active FAAH inhibitors.Superimposition analysis of the FAAH X-ray crystal structure and the pharmacophore Hypo-1 further validated the adequacy of the model.Virtual screening generated a total of 976 hits from the Zinc Natural Products database,a hit rate of 1.04%and enrichment of 83.89.The acceptable hit rate further supports the use of Hypo-1 as a 3D query tool for virtual screening.

Discovery of Novel N-Glycoside and Non-Glycoside hSGLT2 Inhibitors for the Treatment of Type 2 Diabetes Mellitus

Human sodium-glucose cotransporter 2 (hSGLT2) is a membrane protein responsible for glucose reabsorption from the glomerular filtrate in the proximal tubule. Inhibition of hSGLT2 has been regarded as a brand new therapeutic approach for the treatment of type 2 diabetes mellitus (T2DM) due to its non-insulin related characteristics with less side effects. Current commercially available hSGLT2 inhibitors are all C-glycoside inhibitors. Previous studies have reported that N-glycoside inhibitors have better potential to serve as new drugs due to their good metabolic stability. In addition, non-glycoside inhibitors have been shown to exhibit the capability to overcome the existing problems of current glycoside inhibitors, including low tissue permeability, poor stability and short serum half-time. Here, we aimed to discover novel N-glycoside and non-glycoside hSGLT2 inhibitors by a combination of several computational approaches. A ligand-based pharmacophore model was generated, well validated and subsequently utilized as a 3D query to identify novel hSGLT2 inhibitors from National Cancer Institute (NCI) and Traditional Chinese Medicine (TCM) databases. Finally, one N-glycoside (NSC679207) and one non-glycoside (TCM_Piperenol_A) hSGLT2 inhibitors were successfully identified, which were proven to exhibit excellent binding affinities, pharmacokinetic properties and less toxicity than the commercially available hSGLT2 inhibitor, canagliflozin, via molecular docking, ADMET prediction, molecular dynamics (MD) simulations and binding free energy calculations. All together, our results strongly suggest that these two compounds have great potential to serve as novel hSGLT2 inhibitors for the treatment of T2DM and their efficacies may be further examined by a series of in vitro and/or in vivo bioassays.

Network pharmacology-based analysis of Chinese herbal NaoDeSheng formula for application to Alzheimer disease

OBJECTIVE To predict the potential targets and uncover the mechanisms of Nao De Sheng formula for the treatment of Alzheimer disease.METHODS Firstly,we collected the constituents in Nao De Sheng formula and key targets toward Alzheimer disease.Then,druglikeness,oral bioavailability and blood-brain barrier permeability were evaluated to find drug-like and lead-like constituents for central nervous system diseases treatment.Finallly,we were attempted to predict the targets of constituents and find potential multi-target compounds from Nao De Sheng formula by combining the advantages of machine learning,molecular docking and pharmacophore mapping together.RESULTS Constituenttarget network,constituent-target-target network and targetbiological pathway network were built to explain the network pharmacology of the constituents in NaoD eS heng formula.CONCLUSION To the best of our knowledge,we were the first to study the mechanism of Nao De Sheng formula for potential efficacy for Alzheimer disease treatment by means of the virtual screening and network pharmacology methods.

Structural Modification Based on Natural Products Leads to More Drug-like Candidates

Natural products are characterized with diverse structures and biological activities. They show a certain degree of adaptability to human beings. However, they need to be modified to increase their druggability. Several strategies including pharmacophore similarity, physicochemical property optimization, and bioactivity focus may help to make them more drug-like candidates.

In silico investigation of the association of the TRPM8 ion channel with the pungent flavor of Chinese herbs

Objective:Explicating the property and action of traditional Chinese medicine(TCM)in the perspectives of modern science deepens the insight into the property of TCM,and provides the basis for new drug discovery and clinical therapy.In this study,we investigated the relationship between transient receptor potential melastatin 8(TRPM8)and pungent flavor using three-dimensional pharmacophores based on virtual screening methods.Methods:Firstly,an inhouse database was established to identify the related pharmacological action according to the traditional Chinese herbs expressing an action of promoting blood circulation.Then,several therapeutic targets,3-hydroxy-3-methylglutaryl-coenzyme A reductase(HMG-CoAR),cholesteryl ester transfer protein(CETP),Niemann-Pick C1-Like 1(NPC1L1)and platelet-activating factor receptor(PAFR),were selected to screen traditional Chinese herbs,and the common virtual screening hits with various hit scores providing data to reveal the correlation among TRPM8 and therapeutic targets.Results:According to the screening results,TRPM8 agonists were able to identify the effective components of pungent herbs and TRPM8,which shares the common virtual screening hits with the therapeutic targets,was considered to be related to the action of pungent taste.Conclusion:The novel ideas and methods in this study are beneficial to unveil the scientific relationship between a TCM property and its action.

Estimated Binding Energies of Drug-Like and Nondrug-Like Molecules in the Active Site of HIV-1 Integrase, 1BIS.pdb, and Two Mutant Models: Y143R and N155H

Lipinski’s “Rule of Five” was introduced for predicting oral bioavailability to describe drug-like molecules. For the purpose of this research the rules were used to separate potential inhibitors of HIV-1 integrase (1BIS.pdb) into two groups: drug-like and nondrug-like. If one of Lipinski’s “Rule of Five” was not followed the potential inhibitor was classified as nondrug-like. Thirty molecules were identified from the literature, twenty-four drug-like and six nondrug-like, that were docked into the active site of 1BIS.pdb (considered the non-mutated protein) and two mutant models, Y143R and N155H. These are two of the mutations that have led to increased resistance to HIV-1 integrase drugs such as raltegravir and elvitegravir. The computational software, ICM-Pro (Molsoft L.L.C.), was used to determine the estimated binding energy (EBE) of the drug/protein complex. It was found that the nondrug-like molecules generally had a more negative EBE, that is, tighter binding with 1BIS. pdb, though there were several exceptions in the drug-like group. With the protein mutant model Y143R, the majority of drug-like (58%) and nondrug-like molecules (67%) had tighter binding. However, for the mutant model N155H, there was the same percent (46%) of drug-like molecules with tighter binding with the mutant model as with 1BIS.pdb. The drug-like molecules were used when there was a ≥1 kcal/mole difference between 1BIS.pdb and either of the two mutant models to suggest a pharmacophore with structural characteristics for an HIV-1 integrase inhibitor.

Discovery of Novel Irreversible HER2 Inhibitors for Breast Cancer Treatment

It has been widely known that human epidermal growth factor receptor 2 (HER2) inhibitors exhibit distinct antitumor responses against HER2-positive breast cancer. To date, Lapatinib (Tykerb&#174;) has been approved by the U.S. Food and Drug Administration (FDA) as a reversible HER2 inhibitor for treating breast cancer. However, HER2 L755S, T798I and T798M mutations confer drug resistance to lapatinib, restricting its efficacy toward HER2-positive breast cancer. Thus, novel therapy toward mutant HER2 is highly desired. Although several irreversible HER2 inhibitors have been developed to overcome these drug resistance problems, most of them were reported to cause severe side effects. In this study, three pharmacophore models based on HER2 L755S, T798I and T798M mutant structures were constructed and then validated through receiver operating characteristic (ROC) curve analysis and Güner-Henry (GH) scoring methods. Subsequently, these well-validated models were utilized as 3D queries to identify novel irreversible HER2 inhibitors from National Cancer Institute (NCI) database. Finally, two potential irreversible HER2 inhibitor candidates, NSC278329 and NSC718305, were identified and validated through molecular docking, molecular dynamics (MD) simulations and ADMET prediction. Furthermore, the analyses of binding modes showed that both NSC278329 and NSC718305 exhibit good binding interactions with HER2 L755S, T798I and T798M mutants. All together, the above results suggest that both NSC278329 and NSC718305 can serve as novel and effective irreversible HER2 inhibitors for treating breast cancers with HER2 L755S, T798I and T798M mutants. In addition, they may act as lead compounds for designing new irreversible HER2 inhibitors by carrying out structural modifications and optimizations in future studies.

Trisubstituted Aryl Cyclohexanecarboxylates (TACC): A Simple, New Molecular Scaffold for Antibiotics Design

A new class of potential antibacterial agents has been synthesized on a new molecular scaffold of cyclohexane carboxylate. We have tagged this new class of compounds TACCs (Trisubstituted Aryl Cyclohexanecarboxylate). These new molecules are structural analogues of an Activators of Self-Compartmentalizing Proteases 4 and 5 (ACP 4 and 5), and were synthesized to circumvent the drug-like property (drug-ability) challenges and liability noted in ACP 4 and 5. A pseudo-Robinson annulation protocol was used to furnish this new class of potential antibiotics. Structure-activity relationship (SAR) study was done to identify the pharmacophore(s) in this molecular scaffold. A selection of these compounds was used in our preliminary antibacterial inhibitory activities’ studies on Bacillus mycoides and Bacillus subtilis. These preliminary studies show that the TACCs exhibited equal, and in some cases better, antibacterial activity than ACP 4 and 5.