scholarly journals Pharmacophore modelling of vanillin derivatives, favipiravir, chloroquine, hydroxychloroquine, monolaurin and tetrodotoxin as MPro inhibitors of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2)

2020 ◽  
Vol 13 (1) ◽  
Author(s):  
Woon Yi Law ◽  
Mohd Razip Asaruddin ◽  
Showkat Ahamd Bhawani ◽  
Samsur Mohamad
Keyword(s):  
Hydrogen Bond ◽  
Pharmacophore Model ◽  
Significant Activity ◽  
Inhibition Activity ◽  
Pharmacophore Modelling ◽  
Common Features ◽  
Complex Interactions ◽  
Test Sets ◽  
Vanillin Derivatives ◽  
Modelling Approach

Abstract Objectives The aim of this study was to use Ligand-based pharmacophore modelling approach for four established antiviral drugs, namely remdesivir, lopinavir, ritonavir and hydroxychloroquine for COVID-19 inhibitors as training sets. In this study Twenty vanillin derivatives together with monolaurin and tetrodotoxin were used as test sets to evaluate as potential SARS-CoV-2 inhibitors. The Structure-based pharmacophore modelling approach was also performed using 5RE6, 5REX and 5RFZ in order to analyse the binding site and ligand–protein complex interactions. Results The pharmacophore modelling mode of 5RE6 displayed two Hydrogen Bond Acceptors (HBA) and one Hydrophobic (HY) interaction. Besides, the pharmacophore model of 5REX showed two HBA and two HY interactions. Finally, the pharmacophore model of 5RFZ showed three HBA and one HY interaction. Based on ligand-based approach, 20 Schiff-based vanillin derivatives, showed strong MPro inhibition activity. This was due to their good alignment and common features to PDB-5RE6. Similarly, monolaurin and tetrodotoxin displayed some significant activity against SARS-CoV-2. From structure-based approach, vanillin derivatives (1) to (12) displayed some potent MPro inhibition against SARS-CoV-2. Favipiravir, chloroquine and hydroxychloroquine also showed some significant MPro inhibition.

scholarly journals Pharmacophore Modelling of Vanillin Derivatives, Favipiravir, Chloroquine, Hydroxychloroquine, Monolaurin and Tetrodotoxin as MPro inhibitors of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2)

2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Woon Yi Law ◽  
Mohd Razip Asaruddin ◽  
Showkat Ahmad Bhawani ◽  
Samsur Mohamad
Keyword(s):  
Carboxylic Acid ◽  
Pharmacophore Model ◽  
Data Bank ◽  
Significant Activity ◽  
Pharmacophore Modelling ◽  
Complex Interactions ◽  
Test Sets ◽  
Vanillin Derivatives ◽  
Isonicotinic Hydrazide ◽  
Modelling Approach

Ligand-based pharmacophore modelling approach using four established antiviral drugs, namely remdesivir, lopinavir, ritonavir and hydroxychloroquine were analysed for COVID-19 inhibitors as training sets. Twenty vanillin derivatives together with monolaurin were used as test sets to evaluate potential as SARS-CoV-2 inhibitors. Structure-based pharmacophore modelling approach was also performed using Protein Data Bank information: PDB-5RE6, 5REX and 5RFZ in order to analyse the binding site and ligand-protein complex interactions. The pharmacophore modelling mode of 5RE6 displayed two Hydrogen Bond Acceptors (HBA) and one Hydrophobic (HY) interaction. Besides, the pharmacophore model of 5REX showed two HBA and two HY interactions. Finally, the pharmacophore model of 5RFZ showed three HBA and one HY interaction. Based on ligand-based approach, 20 Schiff-based vanillin derivatives, namely vanillin associated with methyl-6- aminopyridine-3-carboxylate (1), sepiapterin (2), 6-aminopyridine-3-carboxylic acid (3), 6-aminopyridine-2-carboxylic acid (4), pemoline (5), α-phenylglycine (6), 2-amino-4-hydroxy-3-methylpentanoic acid (7), 4-hydroxyphenylglycine (8), β-homoserine (9), allylglycine (10), oxamic acid (11) benzophenone hydrazine (12), 2-aminoadipic acid (13), D-alanyl-D-alanine (14), p-bromophenylalanine (15), nicotinic hydrazide (16), 4-hydroxybenzhydrazide (17), benzohydrazide (18), isonicotinic hydrazide (19), and phenylhydrazine (20) showed strong MPro inhibition activity. This was due to their good alignment and common features to PDB-5RE6. Similarly, monolaurin and tetrodotoxin displayed some significant activity against SARS-CoV-2. From structure-based approach, vanillin derivatives (1) to (12) displayed some potent MPro inhibition against SARS-CoV-2. Favipiravir, chloroquine and hydroxychloroquine also showed some significant MPro inhibition. Favipiravir showed good alignment and common pharmacophore features to PDB- 5RFZ, whereas chloroquine and hydroxychloroquine showed good alignment and common pharmacophore features to PDB-5REX.

scholarly journals Pharmacophore Modelling and 3D-QSAR Studies on -Phenylpyrazinones as Corticotropin-Releasing Factor 1 Receptor Antagonists

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Paramjit Kaur ◽  
Vikas Sharma ◽  
Vipin Kumar
Keyword(s):  
Hydrogen Bond ◽  
3D Structure ◽  
Pharmacophore Model ◽  
3D Qsar ◽  
Corticotropin Releasing Factor ◽  
Hydrogen Bond Donor ◽  
Receptor Antagonists ◽  
Test Set ◽  
Pharmacophore Modelling ◽  
Pharmacophore Hypothesis

Pharmacophore modelling-based virtual screening of compound is a ligand-based approach and is useful when the 3D structure of target is not available but a few known active compounds are known. Pharmacophore mapping studies were undertaken for a set of 50 N3-phenylpyrazinones possessing Corticotropin-releasing Factor 1 (CRF 1) antagonistic activity. Six point pharmacophores with two hydrogen bond acceptors, one hydrogen bond donor, two hydrophobic regions, and one aromatic ring as pharmacophoric features were developed. Amongst them the pharmacophore hypothesis AADHHR.47 yielded a statistically significant 3D-QSAR model with 0.803 as value and was considered to be the best pharmacophore hypothesis. The developed pharmacophore model was externally validated by predicting the activity of test set molecules. The squared predictive correlation coefficient of 0.91 was observed between experimental and predicted activity values of test set molecules. The geometry and features of pharmacophore were expected to be useful for the design of selective CRF 1 receptor antagonists.

scholarly journals Pharmacophore Modelling and Synthesis of Quinoline-3-Carbohydrazide as Antioxidants

2011 ◽  
Vol 2011 ◽  
pp. 1-10 ◽  
Author(s):  
Mustapha El Bakkali ◽  
Lhassane Ismaili ◽  
Isabelle Tomassoli ◽  
Laurence Nicod ◽  
Marc Pudlo ◽  
...  
Keyword(s):  
Antioxidant Activity ◽  
Hydrogen Bond ◽  
Virtual Screening ◽  
Superoxide Radical ◽  
Radical Scavenging ◽  
Pharmacophore Model ◽  
Dpph Radical ◽  
Synthetic Compounds ◽  
Pharmacophore Modelling ◽  
Selection Of

From well-known antioxidants agents, we developed a first pharmacophore model containing four common chemical features: one aromatic ring and three hydrogen bond acceptors. This model served as a template in virtual screening of Maybridge and NCI databases that resulted in selection of sixteen compounds. The selected compounds showed a good antioxidant activity measured by three chemical tests: DPPH radical, OH∘ radical, and superoxide radical scavenging. New synthetic compounds with a good correlation with the model were prepared, and some of them presented a good antioxidant activity.

scholarly journals DESIGN AND SYNTHESIS OF SOME NEWER IMIDAZOLYL HETEROCYCLES AS POTENT BTK INHIBITORS FOR THE TREATMENT OF RHEUMATOID ARTHRITIS

2017 ◽  
Vol 9 (3) ◽  
pp. 80
Author(s):  
R. Priyadarsini ◽  
Anandhan Menaka
Keyword(s):  
Rheumatoid Arthritis ◽  
Hydrogen Bond ◽  
Molecular Docking ◽  
Tyrosine Kinase ◽  
Pharmacophore Model ◽  
Spectral Studies ◽  
Bruton’S Tyrosine Kinase ◽  
Bruton's Tyrosine Kinase ◽  
Hydrogen Bond Acceptor ◽  
Btk Inhibitors

Objective: The rheumatoid arthritis as a global health problem over the past few decades, Emphasizes the need for discovery of new therapeutic disease modifying anti-rheumatoid Arthritis drugs (DMARD’s). Bruton’s tyrosine kinase (BTK) is a cytoplasmic, non-receptor, tyrosine kinase which is expressed in most of the hematopoietic cells and plays an important role in the development, differentiation and proliferation of B-lineage cells, thus making BTK an efficient therapeutic target for the treatment of rheumatoid arthritis. This prompted us to synthesise a novel series of Imidazolyl Heterocycles as potent BTK (Bruton’s Tyrosine Kinase) inhibitors with alleged Anti-Rheumatoid Arthritis properties. Methods: Newer BTK inhibitors containing one hydrogen bond acceptor (HBA), one hydrogen bond donor (HBD) and three hydrophobic features based on that pharmacophore model for BTK were designed. The designed compounds were sorted by applying ADMET properties, Lipinski rule of five, molecular docking and Novelty prediction to refine the designed ligands. Finally, different five compounds containing Imidazole as the heterocyclic nucleus have been synthesized and characterized by different analytical methods like Chromatographic data, Elemental analysis and Spectral studies by IR, 1H NMR, 13C NMR, GC-MS. Molecular docking studies were performed against BTK using GLIDE 10.2. Results: Several important hydrogen bonds with BTK were revealed, which include the gatekeeper residue Glu475 and Met477 at the hinge region. Conclusion: Overall, this study suggests that the proposed ligands are found to be more effective BTK inhibitor as Anti-Rheumatoid arthritis agents.

scholarly journals Pharmacophore Modelling-Based Drug Repurposing Approaches for SARS-CoV-2 Therapeutics

2021 ◽  
Vol 9 ◽  
Author(s):  
Shailima Rampogu ◽  
Keun Woo Lee
Keyword(s):  
Effective Treatment ◽  
Pharmacophore Model ◽  
Drug Repurposing ◽  
Binding Pocket ◽  
Binding Mode ◽  
Computational Method ◽  
Dynamics Simulation ◽  
Potential Candidate ◽  
Pharmacophore Modelling ◽  
Discovery Studio

The recent outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a devastating effect globally with no effective treatment. The swift strategy to find effective treatment against coronavirus disease 2019 (COVID-19) is to repurpose the approved drugs. In this pursuit, an exhaustive computational method has been used on the DrugBank compounds targeting nsp16/nsp10 complex (PDB code: 6W4H). A structure-based pharmacophore model was generated, and the selected model was escalated to screen DrugBank database, resulting in three compounds. These compounds were subjected to molecular docking studies at the protein-binding pocket employing the CDOCKER module available with the Discovery Studio v18. In order to discover potential candidate compounds, the co-crystallized compound S-adenosyl methionine (SAM) was used as the reference compound. Additionally, the compounds remdesivir and hydroxycholoroquine were employed for comparative docking. The results have shown that the three compounds have demonstrated a higher dock score than the reference compounds and were upgraded to molecular dynamics simulation (MDS) studies. The MDS results demonstrated that the three compounds, framycetin, kanamycin, and tobramycin, are promising candidate compounds. They have represented a stable binding mode at the targets binding pocket with an average protein backbone root mean square deviation below 0.3 nm. Additionally, they have prompted the hydrogen bonds during the entire simulations, inferring that the compounds have occupied the active site firmly. Taken together, our findings propose framycetin, kanamycin, and tobramycin as potent putative inhibitors for COVID-19 therapeutics.

scholarly journals The Characteristics of PD-L1 Inhibitors, from Peptides to Small Molecules

Molecules ◽  
2019 ◽  
Vol 24 (10) ◽  
pp. 1940 ◽  
Author(s):  
Yanwen Zhong ◽  
Xuanyi Li ◽  
Hequan Yao ◽  
Kejiang Lin
Keyword(s):  
Hydrogen Bond ◽  
Small Molecules ◽  
Pharmacophore Model ◽  
Amino Acid Residues ◽  
Tumor Treatment ◽  
Hydrogen Bond Donor ◽  
Treatment Results ◽  
Hydrogen Bond Acceptor ◽  
Checkpoint Pathway ◽  
Pharmacophore Models

The programmed cell death ligand protein 1 (PD-L1) is a member of the B7 protein family and consists of 290 amino acid residues. The blockade of the PD-1/PD-L1 immune checkpoint pathway is effective in tumor treatment. Results: Two pharmacophore models were generated based on peptides and small molecules. Hypo 1A consists of one hydrogen bond donor, one hydrogen bond acceptor, two hydrophobic points and one aromatic ring point. Hypo 1B consists of one hydrogen bond donor, three hydrophobic points and one positive ionizable point. Conclusions: The pharmacophore model consisting of a hydrogen bond donor, hydrophobic points and a positive ionizable point may be helpful for designing small-molecule inhibitors targeting PD-L1.

scholarly journals Improving Overlapping Between Testing and Design in Engineering Product Development Processes

2013 ◽  
Author(s):  
Khadija Tahera ◽  
Chris Earl ◽  
Claudia Eckert
Keyword(s):  
Product Development ◽  
Research Question ◽  
Product Development Process ◽  
Significant Activity ◽  
Engineering Product ◽  
Virtual Testing ◽  
Design Processes ◽  
Complex Interactions ◽  
Physical Tests

Testing components, prototypes and products comprise essential, but time consuming activities throughout the product development process particularly for complex iteratively designed products. To reduce product development time, testing and design processes are often overlapped. A key research question is how this overlapping can be planned and managed to minimise risks and costs. The first part of this research study investigates how a case study company plans testing and design processes and how they manage these overlaps. The second part of the study proposes a significant modification to the existing process configuration for design and testing, which explicitly identifies virtual testing, that is an extension to Computer Aided Engineering which mirrors the testing process through product modelling and simulation, as a distinct and significant activity used to (a) enhance and (b) replace some physical tests. The analysis shows how virtual testing can mediate information flows between overlapping (re)design and physical tests. The effects of virtual testing to support overlap of test and (re)design is analysed for the development phases of diesel engine design at a case study company. We assess the costs and risks of overlaps and their amelioration through targeted virtual testing. Finally, using the analysis of the complex interactions between (re)design, physical and virtual testing, and the scope for replacing physical with virtual testing is examined.

Sub-Pharmacophore Generation of JNK3 Inhibitors

2013 ◽  
Vol 444-445 ◽  
pp. 1756-1760 ◽  
Author(s):  
Yan Ling Zhang ◽  
Yuan Ming Wang ◽  
Yan Jiang Qiao
Keyword(s):  
Hydrogen Bond ◽  
Pharmacophore Model ◽  
High Specificity ◽  
Data Bank ◽  
Chinese Herbs ◽  
Mitogen Activated Protein Kinase ◽  
Specific Class ◽  
Hydrogen Bond Donor ◽  
Hydrogen Bond Acceptor ◽  
Appraisal Index

The structure-based pharmacophore (SBP) model is consisted by the complementarity of the chemical features and space of the interaction between the ligand and receptor. The SBP models always have a high specificity which can only represent the specific class of the ligand. To simplify the models, sub-pharmacophore was then proposed in present study, and was expected to have and only have the most important or the common chemical features which play the major role in the interaction of ligand and receptor. Sub-pharmacophore should contain 4-6 features, the higher specificity with more features, and vice versa. The sub-pharmacophore was generated by the random combination of features from the structure-based models. With the MDL Drug Data Report database used as the testing database, a new metric CAI (comprehensive appraisal index), which integrated the metrics of E and A%, was defined and used to determine the best sub-pharmacophore model. C-Jun N-terminal kinase (JNKs) is one of the mitogen-activated protein kinase family, and widely involved in immune response and inflammatory response, and other pathological processes. JNK3 is mainly distributed in the brain and nervous system. In present study, twenty-five initial SBP models of JNK3 inhibitors were directly constructed from the Protein Data Bank (PDB) complexes by the LigandScout software. Then, 1018 sub-pharmacophore models were obtained from the 25 initial models. Finally, the best sub-pharmacophore was determined which was simplified from the initial model generated from the 3FI2 complex, and included four features: one hydrogen bond donor, one hydrogen bond acceptor, and two hydrophobic groups. The metrics of E, A% and CAI value of the best sub-pharmacophore model are 17.47, 31.15 and 5.44, respectively. The potential JNK3 inhibitors were then identified from Chinese herbs with the best sub-pharmacophore model, and 286 compounds were obtained.

scholarly journals Screening Ingredients from Herbs against Pregnane X Receptor in the Study of Inductive Herb-Drug Interactions: Combining Pharmacophore and Docking-Based Rank Aggregation

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Zhijie Cui ◽  
Hong Kang ◽  
Kailin Tang ◽  
Qi Liu ◽  
Zhiwei Cao ◽  
...  
Keyword(s):  
Drug Interaction ◽  
Drug Interactions ◽  
Target Genes ◽  
Pharmacophore Model ◽  
Pregnane X Receptor ◽  
Rank Aggregation ◽  
Pharmacophore Modelling ◽  
Interaction Database ◽  
Drug Metabolizing Enzyme ◽  
Metabolizing Enzyme

The issue of herb-drug interactions has been widely reported. Herbal ingredients can activate nuclear receptors and further induce the gene expression alteration of drug-metabolizing enzyme and/or transporter. Therefore, the herb-drug interaction will happen when the herbs and drugs are coadministered. This kind of interaction is called inductive herb-drug interactions. Pregnane X Receptor (PXR) and drug-metabolizing target genes are involved in most of inductive herb-drug interactions. To predict this kind of herb-drug interaction, the protocol could be simplified to only screen agonists of PXR from herbs because the relations of drugs with their metabolizing enzymes are well studied. Here, a combinational in silico strategy of pharmacophore modelling and docking-based rank aggregation (DRA) was employed to identify PXR’s agonists. Firstly, 305 ingredients were screened out from 820 ingredients as candidate agonists of PXR with our pharmacophore model. Secondly, DRA was used to rerank the result of pharmacophore filtering. To validate our prediction, a curated herb-drug interaction database was built, which recorded 380 herb-drug interactions. Finally, among the top 10 herb ingredients from the ranking list, 6 ingredients were reported to involve in herb-drug interactions. The accuracy of our method is higher than other traditional methods. The strategy could be extended to studies on other inductive herb-drug interactions.

scholarly journals 3D-PHARMACOPHORE MODELLING OF OMEGA-3 DERIVATIVES WITH PEROXISOME PROLIFERATOR-ACTIVATED RECEPTOR GAMMA AS AN ANTI-OBESITY AGENT

2021 ◽  
pp. 167-170
Author(s):  
IDA MUSFIROH ◽  
GINNA MEGAWATI ◽  
DEWI MARHENI DIAH HERAWATI ◽  
AGUS RUSDIN
Keyword(s):  
Functional Groups ◽  
Complex Structure ◽  
Pharmacophore Model ◽  
Docosapentaenoic Acid ◽  
Peroxisome Proliferator ◽  
Omega 3 ◽  
Peroxisome Proliferator Activated Receptor ◽  
Pharmacophore Modelling ◽  
Ppar Γ ◽  
3D Pharmacophore

Objective: The aim of this work was to study the pharmacophore model of omega-3 derivatives with the PPAR-γ receptor using LigandScout 4.4.3 to investigate the important chemical interactions of complex structure. Methods: The methods consisted of structure preparation of nine chemical compounds derived from omega-3 fatty acids, database preparation, creating 3D Pharmacophore modelling, validation pharmacophore, and screening test compounds. Results: The result of the research showed that the omega-3 derivatives docosahexaenoic acid (DHA), when eicosapentaenoic acid (HPA), and docosapentaenoic acid (DPA) have the best pharmacophore fit values of 36.59; 36.56; and 36.56, respectively. According to the results of the pharmacophore study, the carbonyl and hydroxyl of the carboxylate functional groups become the active functional groups that exhibit hydrogen bonding interactions. While the alkyl chain (Ethyl and methyl groups) was the portion that can be modified to increase its activity. Conclusion: Omega-3 derivatives could be used as a lead drug for the powerful PPAR-γ receptor in the prevention and treatment of obesity.

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