Pharmacophore-based Screening Research Articles

Network-Based Drug Repurposing and Genomic Analysis to Unveil Potential Therapeutics for Monkeypox Virus.

The emergence of the human monkeypox virus (MPXV) and the lack of effective medications have necessitated the exploration of various strategies to combat its infection. This study employs a network-based approach to drug discovery, utilizing the BLASTn and phylogenetic analysis to compare the MPXV genome with those of 18 related orthopoxviruses, revealing over 75% genomic similarity. Through a literature review, 160 human-host proteins linked to MPXV and its relatives were identified, leading to the construction of a human-host protein interactome. Analysis of this interactome highlighted 39 central hub proteins, which were then examined for potential drug targets. The process successfully revealed 15 targets already approved for use with medications. Additionally, the functional enrichment analysis provided insights into potential pathways and disorders connected with these targets. Four medications, namely Baricitinib, Infliximab, Adalimumab, and Etanercept, have been identified as potential candidates for repurposing to combat MPXV. In addition, the pharmacophore-based screening identified a molecule that is comparable to Baricitinib and has the potential to be effective against MPXV. The findings of the study suggest that ZINC22060520 is a promising medication for treating MPXV infection and proposes these medications as potential options for additional experimental and clinical assessment in the battle against MPXV.

Combatting Antibiotic-Resistant Staphylococcus aureus: Discovery of TST1N-224, a Potent Inhibitor Targeting Response Regulator VraRC, through Pharmacophore-Based Screening and Molecular Characterizations.

Staphylococcus aureus (S. aureus) is a major global health concern, causing various infections and presenting challenges due to antibiotic resistance. In particular, methicillin-resistant S. aureus, vancomycin-intermediate S. aureus (VISA), and vancomycin-resistant S. aureus pose significant obstacles in treating S. aureus infections. Therefore, the critical need for novel drugs to counter these resistant forms is pressing. Two-component systems (TCSs), integral to bacterial regulation, offer promising targets for disruption. In this study, a comprehensive approach, involving pharmacophore-based inhibitor screening, along with biochemical and biophysical analyses were conducted to identify, characterize, and validate potential inhibitors targeting the response regulator VraRC of S. aureus. The constructed pharmacophore model, Phar-VRPR-N3, demonstrated effectiveness in identifying a potent inhibitor, TST1N-224 (IC50 = 60.2 ± 4.0 μM), against the formation of the VraRC-DNA complex. Notably, TST1N-224 exhibited strong binding to VraRC (KD = 23.4 ± 1.2 μM) using a fast-on-fast-off binding mechanism. Additionally, NMR-based molecular modeling revealed that TST1N-224 predominantly interacts with the α9- and α10-helixes of the DNA-binding domain of VraR, where the interactive and functionally essential residues (N165, K180, S184, and R195) act as hotspots for structure-based inhibitor optimization. Furthermore, TST1N-224 evidently enhanced the susceptibility of VISA to both vancomycin and methicillin. Importantly, TST1N-224 distinguished by 1,2,5,6-tetrathiocane with the 3 and 8 positions modified with ethanesulfonates holds significant potential as a lead compound for the development of new antimicrobial agents.

Integrated Pharmacophore-Based Screening and Docking Strategy for Identifying Type II Inhibitors of VEGFR-2 Kinase

Integrated Pharmacophore-Based Screening and Docking Strategy for Identifying Type II Inhibitors of VEGFR-2 Kinase

FDA Approved Niraparib-based Virtual Screening and Molecular Docking Studies to Discover Novel 6NRF Protein Modulator for Ovarian Cancer

The abstract summarizes the findings of a comprehensive analysis of chemical compounds, focusing on their potential therapeutic relevance in ovarian cancer treatment. Utilizing data from the ChEMBL database, pharmacophore-based screening identified compounds with promising activity against ovarian cancer, with notable catching scores ranging from 0.556 to 1.000. Crystallographic refinement metrics highlighted improvements in structural accuracy and quality following PDB-REDO refinement, with reductions in R and R-free values and significant enhancements in bond length RMS Z-scores. Molecular docking studies revealed predicted binding affinities ranging from -9.6 to -8.4, indicating strong interactions with target proteins. ADME analysis of niraparib, a lead compound, demonstrated favorable physicochemical properties and pharmacokinetic profiles, with Lipinski, Ghose, Veber, and Egan’s rules for drug-likeness and bioavailability met. Toxicity prediction models identified potential organ toxicity endpoints, with neurotoxicity, respiratory toxicity, and immunotoxicity showing active involvement. These findings underscore the complexity of structure-activity relationships and the importance of predictive models in guiding drug discovery efforts and ensuring safety profiles. Overall, this study provides valuable insights into the landscape of PARP inhibitors and their potential in advancing personalized medicine approaches for ovarian cancer therapy.

Discovery of Mitogen-Activated Protein Kinase for Melanoma Using Melphalan Based Hybrid Classic 3-Point Pharmacophore Virtual Screening and Molecular Docking Approach

Melanoma, a highly aggressive type of skin cancer, poses a significant health risk due to its proclivity for metastasis and poor response to conventional treatments. Mutations in the MEPK are one of the key molecular alterations driving melanoma progression, resulting in constitutive activation of the MAP2K signaling pathway. Targeting this pathway, specifically the MAP2K, has emerged as a promising approach to melanoma treatment. This study investigates the therapeutic potential of Mitogen-activated protein kinase, which are compounds designed to inhibit the abnormal activity of mutated MEK, disrupting the oncogenic signaling cascade and stopping melanoma progression. The ChEMBL 2D database was used to conduct a comprehensive pharmacophore-based screening to identify potential mitogen-activated protein kinase with the desired molecular properties. Afterwards the initial screening, selected compounds underwent rigorous molecular docking studies to verify their binding affinity and interaction patterns with the MAP2K substance. Among the compounds tested, CHEMBL852 (Melphalan), CHEMBL250892(R)-Melphalan and CHEMBL1200863 (Metyrosine) had particularly high binding affinities, indicating potential efficacy as mitogen-activated protein kinase. Toxicity tests were carried out to assess the safety profiles of these compounds. Notably, metyrosine had a favorable toxicity profile across multiple endpoints, including hepatotoxicity, carcinogenicity, immunotoxicity, and cytotoxicity, indicating its potential as a safer therapeutic candidate. Metyrosine pharmacokinetics were further evaluated using ADME studies, which demonstrated its high water solubility and moderate lipophilicity, indicating favorable drug-like properties. These findings suggest that metyrosine may have higher bioavailability and fewer side effects than other potential inhibitors. Subsequently, this study identifies promising lead compounds, specifically metyrosineas, potential candidates for the research and development of novel mitogen-activated protein kinase for melanoma therapy. These compounds require additional experimental validation, optimization, and preclinical research to determine their therapeutic efficacy, safety, and potential for clinical application. This study highlights the importance of targeted therapies in the growing melanoma treatment landscape, paving the way for the development of novel strategies to combat this devastating disease.

Targeting human progesterone receptor (PR), through pharmacophore-based screening and molecular simulation revealed potent inhibitors against breast cancer

Breast cancer, the prevailing malignant tumor among women, is linked to progesterone and its receptor (PR) in both tumorigenesis and treatment responsiveness. Despite thorough investigation, the precise molecular mechanisms of progesterone in breast cancer remain unclear. The human progesterone receptor (PR) serves as an essential therapeutic target for breast cancer treatment, warranting the rapid design of small molecule therapeutics that can effectively inhibit HPR. By employing cutting-edge computational techniques like molecular screening, simulation, and free energy calculation, the process of identifying potential lead molecules from natural products has been significantly expedited. In this study, we employed pharmacophore-based virtual screening and molecular simulations to identify natural product-based inhibitors of human progesterone receptor (PR) in breast cancer treatment. High-throughput molecular screening of traditional Chinese medicine (TCM) and zinc databases was performed, leading to the identification of potential lead compounds. The analysis of binding modes for the top five compounds from both database provides valuable structural insights into the inhibition of HPR for breast cancer treatment. The top five hits exhibited enhanced stability and compactness compared to the reference compound. In conclusion, our study provides valuable insights for identifying and refining lead compounds as HPR inhibitors.

In-silico identification and exploration of small molecule coumarin-1,2,3-triazole hybrids as potential EGFR inhibitors for targeting lung cancer.

Globally, lung cancer is a significant public health concern due to its role as the leading cause of cancer-related mortalities. The promising target of EGFR for lung cancer treatment has been identified, providing a potential avenue for more effective therapies. The purpose of the study was to design a library of 1843 coumarin-1,2,3-triazole hybrids and screen them based on a designed pharmacophore to identify potential inhibitors targeting EGFR in lung cancer with minimum or no side effects. Pharmacophore-based screening was carried out and 60 hits were obtained. To gain a better understanding of the binding interactions between the compounds and the targeted receptor, molecular docking was conducted on the 60 screened compounds. In-silico ADME and toxicity studies were also conducted to assess the drug-likeness and safety of the identified compounds. The results indicated that coumarin-1,2,3-triazole hybrids COUM-0849, COUM-0935, COUM-0414, COUM-1335, COUM-0276, and COUM-0484 exhibit dock score of -10.2, -10.2, -10.1, -10.1, -10, -10 while reference molecule -7.9kcal/mol for EGFR (PDB ID: 4HJO) respectively. The molecular docking and molecular dynamics simulations revealed that the identified compounds formed stable interactions with the active site of EGFR, indicating their potential as inhibitors. The in-silico ADME and toxicity studies showed that the compounds had favorable drug-likeness properties and low toxicity, further supporting their potential as therapeutic agents. Finally, we performed DFT studies on the best-selected ligands to gain further insights into their electronic properties. The findings of this study provide important insights into the potential of coumarin-1,2,3-triazole hybrids as promising EGFR inhibitors for the management of lung cancer.

Pharmacophore-Based Screening, Molecular Docking, and Dynamic Simulation of Fungal Metabolites as Inhibitors of Multi-Targets in Neurodegenerative Disorders.

Neurodegenerative disorders, such as Alzheimer's disease (AD), negatively affect the economic and psychological system. For AD, there is still a lack of disease-altering treatments and promising cures due to its complex pathophysiology. In this study, we computationally screened the natural database of fungal metabolites against three known therapeutic target proteins of AD. Initially, a pharmacophore-based, drug-likeness category was employed for screening, and it filtered the 14 (A-N) best hits out of 17,544 fungal metabolites. The 14 best hits were docked individually against GSK-3β, the NMDA receptor, and BACE-1 to investigate the potential of finding a multitarget inhibitor. We found that compounds B, F, and L were immuno-toxic, whereas E, H, I, and J had a higher LD50 dose (5000 mg/kg). Among the examined metabolites, the Bisacremine-C (compound I) was found to be the most active molecule against GSK-3β (ΔG: -8.7 ± 0.2 Kcal/mol, Ki: 2.4 × 106 M-1), NMDA (ΔG: -9.5 ± 0.1 Kcal/mol, Ki: 9.2 × 106 M-1), and BACE-1 (ΔG: -9.1 ± 0.2 Kcal/mol, Ki: 4.7 × 106 M-1). It showed a 25-fold higher affinity with GSK-3β, 6.3-fold higher affinity with NMDA, and 9.04-fold higher affinity with BACE-1 than their native ligands, respectively. Molecular dynamic simulation parameters, such as RMSD, RMSF, Rg, and SASA, all confirmed that the overall structures of the targeted enzymes did not change significantly after binding with Bisacremine-C, and the ligand remained inside the binding cavity in a stable conformation for most of the simulation time. The most significant hydrophobic contacts for the GSK-3β-Bisacremine-C complex are with ILE62, VAL70, ALA83, and LEU188, whereas GLN185 is significant for H-bonds. In terms of hydrophobic contacts, TYR184 and PHE246 are the most important, while SER180 is vital for H-bonds in NMDA-Bisacremine-C. THR232 is the most crucial for H-bonds in BACE-1-Bisacremine-C and ILE110-produced hydrophobic contacts. This study laid a foundation for further experimental validation and clinical trials regarding the biopotency of Bisacremine-C.

Discovery of ICOS-Targeted Small Molecules Using Pharmacophore-Based Screening.

There are currently no small molecules clinically approved as immune checkpoint modulators. Besides possessing oral bioavailability, cell-penetrating capabilities and enhanced tumor penetration compared to monoclonal antibodies (mAbs), small molecules are amenable to pharmacokinetic optimization, which allows adopting flexible dosage regimens that may avoid immune-related adverse events associated with mAbs. The interaction of inducible co-stimulator (ICOS) with its ligand (ICOS-L) plays key roles in T-cell differentiation and activation of T-cell to B-cell functions. This study represents the development and validation of a virtual screening strategy to identify small molecules that bind a novel druggable binding pocket in human ICOS. We used a lipophilic canyon in the apo-structure of ICOS and the ICOS/ICOS-L interface individually as templates for molecular dynamics simulation to generate 3D pharmacophores subsequently used for virtual screening campaigns. Our strategy was successful finding a first-in-class small molecule ICOS binder (5P, KD value=108.08±26.76 μM) and validating biophysical screening platforms for ICOS-targeted small molecules. We anticipate that future structural optimization of 5P will result in the discovery of high affinity chemical ligands for ICOS.

In-silico design, pharmacophore-based screening, and molecular docking studies reveal that benzimidazole-1,2,3-triazole hybrids as novel EGFR inhibitors targeting lung cancer

Lung cancer is a complex and heterogeneous disease, which has been associated with various molecular alterations, including the overexpression and mutations of the epidermal growth factor receptor (EGFR). In this study, designed a library of 1843 benzimidazole-1,2,3-triazole hybrids and carried out pharmacophore-based screening to identify potential EGFR inhibitors. The 164 compounds were further evaluated using molecular docking and molecular dynamics simulations to understand the binding interactions between the compounds and the receptor. In-si-lico ADME and toxicity studies were also conducted to assess the drug-likeness and safety of the identified compounds. The results of this study indicate that benzimidazole-1,2,3-triazole hybrids BENZI-0660, BENZI-0125, BENZI-0279, BENZI-0415, BENZI-0437, and BENZI-1110 exhibit dock scores of −9.7, −9.6, −9.6, −9.6, −9.6, −9.6 while referencing molecule −7.9 kcal/mol for EGFR (PDB ID: 4HJO), respectively. The molecular docking and molecular dynamics simulations revealed that the identified compounds formed stable interactions with the active site of EGFR, indicating their potential as inhibitors. The in-silico ADME and toxicity studies showed that the compounds had favorable drug-likeness properties and low toxicity, further supporting their potential as therapeutic agents. Finally, performed DFT studies on the best-selected ligands to gain further insights into their electronic properties. The findings of this study provide important insights into the potential of benzimidazole-1,2,3-triazole hybrids as promising EGFR inhibitors for the treatment of lung cancer. This research opens up a new avenue for the discovery and development of potent and selective EGFR inhibitors for the treatment of lung cancer. Communicated by Ramaswamy H. Sarma

Discovery of Small-Molecule TIM-3 Inhibitors for Acute Myeloid Leukemia Using Pharmacophore-Based Virtual Screening.

T-cell immunoglobulin and mucin domain 3 (TIM-3) is a negative immune checkpoint that represents a promising target for cancer immunotherapy. Although encouraging results have been observed for TIM-3 inhibition in the context of acute myeloid leukemia (AML), targeting TIM-3 is currently restricted to monoclonal antibodies (mAbs). To fill this gap, we implemented a pharmacophore-based screening approach to identify small-molecule TIM-3 inhibitors. Our approach resulted in the identification of hit compounds with TIM-3 binding affinity. Subsequently, we used the structure-activity relationship (SAR) by a catalog approach to identify compound A-41 with submicromolar TIM-3 binding affinity. Remarkably, A-41 demonstrated the ability to block TIM-3 interactions with key ligands and inhibited the immunosuppressive function of TIM-3 using an in vitro coculture assay. This work will pave the way for future drug discovery efforts aiming at the development of small-molecule inhibitors TIM-3 for AML.

Modulation of NRF2/KEAP1-Mediated Oxidative Stress for Cancer Treatment by Natural Products Using Pharmacophore-Based Screening, Molecular Docking, and Molecular Dynamics Studies.

Oxidative stress plays a significant role in the development of cancer. Inhibiting the protein-protein interaction (PPI) between Keap1 and Nrf2 offers a promising strategy to activate the Nrf2 antioxidant pathway, which is normally suppressed by the binding of Keap1 to Nrf2. This study aimed to identify natural compounds capable of targeting the kelch domain of KEAP1 using structure-based drug design methods. A pharmacophore model was constructed based on the KEAP1-inhibitor complex, leading to the selection of 6178 compounds that matched the model. Subsequently, docking and MM/GBSA analyses were conducted, resulting in the identification of 10 compounds with superior binding energies compared to the reference compound. From these, three compounds (ZINC000002123788, ZINC000002111341, and ZINC000002125904) were chosen for further investigation. Ligand-residue interaction analysis revealed specific interactions between these compounds and key residues, indicating their stability within the binding site. ADMET analysis confirmed that the selected compounds possessed desirable drug-like properties. Furthermore, molecular dynamics simulations were performed, demonstrating the stability of the ligand-protein complexes over a 100 ns duration. These findings underscore the potential of the selected natural compounds as agents targeting KEAP1 and provide valuable insights for future experimental studies.

Novel HIV-1 RNA biogenesis inhibitors identified by virtual pharmacophore-based screening

The complex between the Rev protein of HIV-1 and the Rev Recognition Element (RRE) within the virus RNA promotes nuclear export of unspliced or incompletely spliced viral transcripts and is required for virus transmission. Here, we have screened a virtual collection of compounds using a pharmacophore based on the chemical similarity of previously characterized inhibitors to identify new chemical scaffolds blocking the RRE-Rev interaction. The best molecules discovered with this strategy inhibited the complex by binding to the RRE and exhibited substantial antiretroviral activity (between 0.582 and 11.3 μM EC50 values) likely associated to inhibitory actions on viral transcription and Rev function. These results have allowed us to identify structural features required for RRE-Rev inhibition as well as to add new compounds to the pool of possible candidates for developing antiretroviral agents based on blockage of HIV-1 RNA biogenesis.

Designing of 2,3-dihydrobenzofuran derivatives as inhibitors of PDE1B using pharmacophore screening, ensemble docking and molecular dynamics approach

In recent years, the PDE1B enzyme has become a desirable drug target for the treatment of psychological and neurological disorders, particularly schizophrenia disorder, due to the expression of PDE1B in brain regions involved in volitional behaviour, learning and memory. Although several inhibitors of PDE1 have been identified using different methods, none of these inhibitors has reached the market yet. Thus, searching for novel PDE1B inhibitors is considered a major scientific challenge. In this study, pharmacophore-based screening, ensemble docking and molecular dynamics simulations have been performed to identify a lead inhibitor of PDE1B with a new chemical scaffold. Five PDE1B crystal structures have been utilised in the docking study to improve the possibility of identifying an active compound compared to the use of a single crystal structure. Finally, the structure-activity- relationship was studied, and the structure of the lead molecule was modified to design novel inhibitors with a high affinity for PDE1B. As a result, two novel compounds have been designed that exhibited a higher affinity to PDE1B compared to the lead compound and the other designed compounds.

A pharmacophore-based approach to demonstrating the scope of alcohol dehydrogenases

Barriers to the ready adoption of biocatalysis into asymmetric synthesis for early stage medicinal chemistry are addressed, using ketone reduction by alcohol dehydrogenase as a model reaction. An efficient substrate screening approach is used to show the wide substrate scope of commercial alcohol dehydrogenase enzymes, with a high tolerance to chemical groups employed in drug discovery (heterocycle, trifluoromethyl and nitrile/nitro groups) observed. We use our screening data to build a preliminary predictive pharmacophore-based screening tool using Forge software, with a precision of 0.67/1, demonstrating the potential for developing substrate screening tools for commercially available enzymes without publicly available structures. We hope that this work will facilitate a culture shift towards adopting biocatalysis alongside traditional chemical catalytic methods in early stage drug discovery.

Molecular dynamics-derived pharmacophores of Schistosoma glutathione transferase in complex with bromosulfophthalein: Screening and analysis of potential inhibitors

Schistosoma glutathione transferases (GSTs) have been identified as attractive drug targets for the design of novel antischistosomals. Here, we used in silico methods to validate the discriminative inhibitory properties of bromosulfophthalein (BSP) against the 26-kDa GST from S. japonicum (Sj26GST), and the 28-kDa GST from S. haematobium (Sh28GST), versus human GST (hGST) isoforms alpha (hGSTA), mu (hGSTM) and pi (hGSTP). The use of BSP as an archetypal selective inhibitor was harnessed to produce molecular dynamics-derived pharmacophores of the two targets. Pharmacophore-based screening using a large dataset of experimental and approved drug compounds was performed to produce a shortlist of candidates. The top candidate for each target was prioritised via molecular docking, yielding guanosine-3′-monophosphate-5′-diphosphate (G3D) for Sj26GST, and quercetin-3′-O-phosphate (Q3P) for Sh28GST. Comparative molecular dynamics studies of both candidates compared to BSP showed similar characteristics of binding stability and strength, suggesting their potential to emulate the inhibitory effects of BSP.

Targeting Leishmania donovani sterol methyltransferase for leads using pharmacophore modeling and computational molecular mechanics studies

The mortalities and morbidities of leishmaniasis are high and the disease is under reported globally. The absence of vaccines coupled with chemotherapeutic challenges including chemoresistance, scarcity and toxicity have made the fight against leishmaniasis an arduous one. Furthermore, the treatment options currently available for leishmaniasis are long and sometimes require hospitalization. There is therefore the need to explore novel pathways to identify new compounds with alternative mechanisms of action. A pharmacophore-based screening was employed in identifying new potential inhibitors with unique scaffolds targeting Leishmania donovani sterol methyltransferase (LdSMT), a key enzyme for ergosterol biosynthesis. To accomplish this, 22,26-azasterol, a known inhibitor of this target and five other derivatives with IC50 less than 10 μM were used to generate a robust 3D pharmacophore model via LigandScout with a score of 0.9144. The validated model was used as a query to screen a library of 69034 natural products obtained from the InterBioScreen Limited. Compounds with pharmacophore fit scores above 50 were docked against the modelled structure of LdSMT. Altogether, ten molecules with binding energies between −7 and −11 kcal/mol were identified as potential bioactive molecules. The molecular dynamics simulation and molecular mechanics Poisson–Boltzmann surface area (MM-PBSA) calculations reinforced the results from the docking studies suggesting the selected hits bind effectively at the active sites of the target protein. The compounds were observed to bind in the S-adenosine-L-homocysteine binding pocket of the modelled LdSMT with Trp208 and Val330 predicted as key residues critical for ligand binding. Prediction of biological activity with probability of activity (Pa) greater than probability of inactivity (Pi) revealed that seven compounds (STOCKIN-54848, STOCKIN-89115, STOCKIN-68720, STOCKIN-44724, STOCKIN-76694, STOCKIN-47277 and STOCKIN-95708) possessed antileishmanial properties. STOCKIN-89115, STOCKIN-68720, STOCKIN-44724, and STOCKIN-47277 were predicted to be membrane permeability inhibitors, while all ten hit compounds possessed antineoplastic activity. The compounds have the propensity of disrupting ergosterol biosynthesis leading to the suppression of growth in Leishmania donovani. The compounds were predicted to have good absorption, distribution, metabolism, excretion and toxicity profiles, hence their potential antileishmanial activity can be exploited upon experimental corroboration.

WITHDRAWN: In-Silico Study of Resveratrol as Multi-Edged Potent Inhibitor against SARSCov- 2 and Variants of Concern Using Molecular Dynamic Simulation and PCA Analysis

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Identification of human immunodeficiency virus -1 E protein-targeting lead compounds by pharmacophore based screening

To identify potential compounds by seeking the knowledge of molecular interactions between human immunodeficiency virus (HIV) glycoprotein (gp) 120 protein and anti-HIV drug (BMS-488043). This study is a computational structure-based drug design study, carried out at University of Taif, Saudi Arabia and African Genome Centre (AGC), Mohammed VI Polytechnic University, Benguerir, Morocco from January 2021 to March 2022. Initially, using the docked structure of gp120 with BMS-488043, a structure-based pharmacophore model was created. The generated model was utilized for virtual screening of the ZINC and ChemBridge database in order to identify hit compounds. To further assess the time-dependent stability of the selected complexes, computer simulation was performed. From pharmacophore-based screening, 356 hits were obtained from both the database. The docking studies of the retrieved hit compounds reveal that all the compounds fit into the binding site of gp120. However, based on the significant interactions with the crucial residues and docking scores four compounds were suggested as potential hits. MD simulation of ChemBridge14695864 and ZINC06893293 in complex with gp120 suggested that both compounds significantly stabilized the receptor. These findings could aid in the design of effective drugs against HIV by inhibiting the interaction between gp120 and CD4.

Pharmacophore Modelling and Virtual Screening Studies for the Discovery of Natural Product-based PDE 3/4 Dual Inhibitors for COPD

Background: Chronic Obstructive Pulmonary Disorder (COPD) is a chronic and progressive lung disease with a steady increase in prevalence over the recent years. Current treatment options of COPD are aimed at symptomatic relief without the ability to cure COPD, and certain corticosteroid treatments cause patients to be susceptible to infections. Newer studies have hinted that PDE3/4 dual inhibitors may produce a higher efficacy and better safety profile compared to current alternatives. These novel inhibitors may potentially improve the control of COPD exacerbation without increasing the risk of infections. Thus, our study aimed to identify and refine natural compounds with PDE3/4 dual inhibitory activities through molecular modelling techniques. Method: A two-sided approach through ligand-based and structure-based pharmacophore modelling was employed, followed by virtual screening and molecular docking to identify lead compounds with PDE3/4 dual inhibition activity. Results: Pharmacophore-based screening of Universal Natural Products Database (UNPD) resulted in the identification of one compound for each pharmacophore model, namely UNPD1558 and UNPD139455, with high binding affinities towards both PDE3B and PDE4B. The two compounds were subsequently docked with PDE3B and PDE4B to study their interactions with the active site residues. Structural modifications of the compounds were proposed based on the docking results to optimise their binding affinity and physicochemical properties. Conclusion: Compound 25a4 and compound 28, which were designed based on the structures of UNPD1558 and UNPD139455, respectively, showed an improved binding affinity for both PDE3B and PDE4B. These lead compounds showed promising results as drug candidates, and their PDE3/4 dual inhibitory properties should be further investigated through in vivo and in vivo studies.