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Singh P, Kanhed A, Khatik GL, Datusalia AK. Identifying potential neuroprotective polyphenols targeting endoplasmic reticulum stress through an in silico approach. J Biomol Struct Dyn 2024; 42:834-847. [PMID: 37021457 DOI: 10.1080/07391102.2023.2196354] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 03/22/2023] [Indexed: 04/07/2023]
Abstract
The endoplasmic reticulum (ER) is essential in many cellular processes, including protein processing, lipid metabolism, and calcium storage. Dysregulation of ER function has been linked with neurodegenerative diseases such as Alzheimer's disease, Parkinson's disease, etc. The primary pathological alteration explicated in the diseases is the accumulation of misfolded proteins in the neuronal cells. ER stress-associated activation of PERK-mediated pro-apoptotic cell death leads to neurodegeneration. In this study, we have primarily screened the potential polyphenols evidenced for neuroprotective activity. The 24 polyphenols were selected to explore their binding affinity towards various proteins of ER cascade such as pPERK (phospho-PERK), EIF2 (Eukaryotic Initiation Factor 2), and ATF4 (Activating Transcription Factor 4). On the basis of binding affinity, four phytopolyphenols were further selected for in-silico ADMET and molecular dynamic simulation. Among them curcumin found to be the most promising and serve as a potential hit against all three targets of ER cascade. The selected proteins' active site has demonstrated high stability of curcumin binding according to molecular dynamics findings. Though curcumin exhibited a significant hit in interaction with targets but needs to be further improved in drug-ability criteria. Thus, seventy derivatives of curcumin scaffold (from the published literature) were also screened with improve in druggability criteria, which showed good interaction with unfolded protein response related targets. The new scaffolds serve considerable potential to be developed as novel polyphenolic lead for neurodegenerative disorders.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Pooja Singh
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Raebareli, India
| | - Ashish Kanhed
- Shobhaben Pratapbhai Patel - School of Pharmacy & Technology Management, SVKM's NMIMS University, Mumbai, India
| | - Gopal Lal Khatik
- Department of Medicinal Chemistry, National Institute of Pharmaceutical Education and Research (NIPER), Raebareli, India
| | - Ashok Kumar Datusalia
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Raebareli, India
- Department of Regulatory Toxicology, National Institute of Pharmaceutical Education and Research (NIPER), Raebareli, India
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Kumar A, Dutt M, Dehury B, Sganzerla Martinez G, Swan CL, Kelvin AA, Richardson CD, Kelvin DJ. Inhibition potential of natural flavonoids against selected omicron (B.1.19) mutations in the spike receptor binding domain of SARS-CoV-2: a molecular modeling approach. J Biomol Struct Dyn 2023:1-15. [PMID: 38115191 DOI: 10.1080/07391102.2023.2291165] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Accepted: 09/09/2023] [Indexed: 12/21/2023]
Abstract
The omicron (B.1.19) variant of contagious severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is considered a variant of concern (VOC) due to its increased transmissibility and highly infectious nature. The spike receptor-binding domain (RBD) is a hotspot of mutations and is regarded as a prominent target for screening drug candidates owing to its crucial role in viral entry and immune evasion. To date, no effective therapy or antivirals have been reported; therefore, there is an urgent need for rapid screening of antivirals. An extensive molecular modelling study has been performed with the primary goal to assess the inhibition potential of natural flavonoids as inhibitors against RBD from a manually curated library. Out of 40 natural flavonoids, five natural flavonoids, namely tomentin A (-8.7 kcal/mol), tomentin C (-8.6 kcal/mol), hyperoside (-8.4 kcal/mol), catechin gallate (-8.3 kcal/mol), and corylifol A (-8.2 kcal/mol), have been considered as the top-ranked compounds based on their binding affinity and molecular interaction profiling. The state-of-the-art molecular dynamics (MD) simulations of these top-ranked compounds in complex with RBD exhibited stable dynamics and structural compactness patterns on 200 nanoseconds. Additionally, complexes of these molecules demonstrated favorable free binding energies and affirmed the docking and simulation results. Moreover, the post-simulation validation of these interacted flavonoids using principal component analysis (PCA) revealed stable interaction patterns with RBD. The integrated results suggest that tomentin A, tomentin C, hyperoside, catechin gallate, and corylifol A might be effective against the emerging variants of SARS-CoV-2 and should be further evaluated using in-vitro and in-vivo experiments.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Anuj Kumar
- Laboratory of Immunity, Shantou University Medical College, Shantou, China
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, Canada
- Department of Paediatrics, IWK Health Center, Canadian Centre for Vaccinology (CCfV), Halifax, Canada
| | - Mansi Dutt
- Laboratory of Immunity, Shantou University Medical College, Shantou, China
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, Canada
- Department of Paediatrics, IWK Health Center, Canadian Centre for Vaccinology (CCfV), Halifax, Canada
| | - Budheswar Dehury
- Bioinformatics Division, ICMR-Regional Medical Research Centre, Bhubaneswar, India
| | - Gustavo Sganzerla Martinez
- Laboratory of Immunity, Shantou University Medical College, Shantou, China
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, Canada
- Department of Paediatrics, IWK Health Center, Canadian Centre for Vaccinology (CCfV), Halifax, Canada
| | - Cynthia L Swan
- Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, Canada
| | - Alyson A Kelvin
- Vaccine and Infectious Disease Organization (VIDO), University of Saskatchewan, Saskatoon, Canada
- Department of Biochemistry, Microbiology, and Immunology, University of Saskatchewan, Saskatoon, Canada
| | - Christopher D Richardson
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, Canada
- Department of Paediatrics, IWK Health Center, Canadian Centre for Vaccinology (CCfV), Halifax, Canada
| | - David J Kelvin
- Laboratory of Immunity, Shantou University Medical College, Shantou, China
- Department of Microbiology and Immunology, Faculty of Medicine, Dalhousie University, Halifax, Canada
- Department of Paediatrics, IWK Health Center, Canadian Centre for Vaccinology (CCfV), Halifax, Canada
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Yuan Y, Pan F, Zhu Z, Yang Z, Wang O, Li Q, Zhao L, Zhao L. Construction of a QSAR Model Based on Flavonoids and Screening of Natural Pancreatic Lipase Inhibitors. Nutrients 2023; 15:3489. [PMID: 37571426 PMCID: PMC10421515 DOI: 10.3390/nu15153489] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 07/30/2023] [Accepted: 08/01/2023] [Indexed: 08/13/2023] Open
Abstract
Pancreatic lipase (PL) is a key hydrolase in lipid metabolism. Inhibition of PL activity can intervene in obesity, a global sub-health disease. The natural product is considered a good alternative to chemically synthesized drugs due to its advantages, such as low side effects. However, traditional experimental screening methods are labor-intensive and cost-consuming, and there is an urgent need to develop high-throughput screening methods for the discovery of anti-PL natural products. In this study, a high-throughput virtual screening process for anti-PL natural products is provided. Firstly, a predictable anti-PL natural product QSAR model (R2train = 0.9444, R2test = 0.8962) were developed using the artificial intelligence drug design software MolAIcal based on genetic algorithms and their conformational relationships. 1068 highly similar (FS > 0.8) natural products were rapidly enriched based on the structure-activity similarity principle, combined with the QSAR model and the ADMET model, for rapid prediction of a total of five potentially efficient anti-PL natural products (IC50pre < 2 μM). Subsequently, molecular docking, molecular dynamics simulation, and MMGBSA free energy calculation were performed to not only reveal the interaction of candidate novel natural products with the amino acid residues of PL but also to validate the stability of these novel natural compounds bound to PL. In conclusion, this study greatly simplifies the screening and discovery of anti-PL natural products and accelerates the development of novel anti-obesity functional foods.
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Affiliation(s)
- Yutong Yuan
- Beijing Engineering and Technology Research Center of Food Additives, School of Food and Health, Beijing Technology and Business University, Beijing 100048, China; (Y.Y.); (Z.Z.); (Z.Y.); (Q.L.)
- Beijing Key Laboratory of Functional Food from Plant Resources, College of Food Science and Nutritional Engineering, China Agricultural University, Beijing 100083, China
| | - Fei Pan
- Institute of Apicultural Research, Chinese Academy of Agricultural Sciences, Beijing 100093, China;
| | - Zehui Zhu
- Beijing Engineering and Technology Research Center of Food Additives, School of Food and Health, Beijing Technology and Business University, Beijing 100048, China; (Y.Y.); (Z.Z.); (Z.Y.); (Q.L.)
| | - Zichen Yang
- Beijing Engineering and Technology Research Center of Food Additives, School of Food and Health, Beijing Technology and Business University, Beijing 100048, China; (Y.Y.); (Z.Z.); (Z.Y.); (Q.L.)
| | - Ou Wang
- National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China;
| | - Qing Li
- Beijing Engineering and Technology Research Center of Food Additives, School of Food and Health, Beijing Technology and Business University, Beijing 100048, China; (Y.Y.); (Z.Z.); (Z.Y.); (Q.L.)
| | - Liang Zhao
- Beijing Engineering and Technology Research Center of Food Additives, School of Food and Health, Beijing Technology and Business University, Beijing 100048, China; (Y.Y.); (Z.Z.); (Z.Y.); (Q.L.)
| | - Lei Zhao
- Beijing Engineering and Technology Research Center of Food Additives, School of Food and Health, Beijing Technology and Business University, Beijing 100048, China; (Y.Y.); (Z.Z.); (Z.Y.); (Q.L.)
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Guo Y, Chen X, Yu X, Wan J, Cao X. Prediction and validation of monoclonal antibodies separation in aqueous two-phase system using molecular dynamic simulation. J Chromatogr A 2023; 1694:463921. [PMID: 36940643 DOI: 10.1016/j.chroma.2023.463921] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2022] [Revised: 02/19/2023] [Accepted: 03/07/2023] [Indexed: 03/16/2023]
Abstract
In order to predict how mAbs partition in 20% ethylene oxide/80% propylene oxide (v/v) random copolymer (EO20PO80)/water aqueous two-phase system (ATPS), a molecular dynamic simulation model was developed using Gromacs and then validated by experiments. The ATPS was applied with seven kinds of salt, including buffer salt and strong dissociation salt that were commonly employed in the purification of protein. Na2SO4 was shown to have the best effects on lowering EO20PO80 content in the aqueous phase and enhancing recovery. The content of EO20PO80 in the sample solution was decreased to 0.62%±0.25% and the recovery of rituximab increased to 97.88%±0.95% by adding 300 mM Na2SO4 into back extraction ATPS. The viability determined by ELISA was 95.57% at the same time. A strategy for constructing a prediction model for the distribution of mAbs in ATPS was proposed in consideration of this finding. Partition of trastuzumab in ATPS was predicted by the model created using this method and the prediction result was further validated by experiments. The recovery of trastuzumab reached 95.63%±2.86% under the ideal extraction conditions suggested by the prediction model.
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Affiliation(s)
- Yibo Guo
- State Key Laboratory of Bioreactor Engineering, Department of Bioengineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237 China
| | - Xi Chen
- State Key Laboratory of Bioreactor Engineering, Department of Bioengineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237 China
| | - Xue Yu
- Shandong Key Laboratory of Biophysics, Institute of Biophysics, Dezhou University, Dezhou, 253023, P.R. China
| | - Junfen Wan
- State Key Laboratory of Bioreactor Engineering, Department of Bioengineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237 China.
| | - Xuejun Cao
- State Key Laboratory of Bioreactor Engineering, Department of Bioengineering, East China University of Science and Technology, 130 Meilong Road, Shanghai, 200237 China.
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Construction of an MLR-QSAR Model Based on Dietary Flavonoids and Screening of Natural α-Glucosidase Inhibitors. Foods 2022; 11:foods11244046. [PMID: 36553788 PMCID: PMC9778400 DOI: 10.3390/foods11244046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2022] [Revised: 12/11/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
Postprandial hyperglycemia can be reduced by inhibiting α-glucosidase activity. Common α-glucosidase inhibitors such as acarbose may have various side effects. Therefore, it is important to find natural products that are non-toxic and have high α-glucosidase-inhibitory activity. In the present study, a comprehensive computational analysis of 27 dietary flavonoid compounds with α-glucosidase-inhibitory activity was performed. These included flavonoids, flavanones, isoflavonoids, dihydrochalcone, flavan-3-ols, and anthocyanins. Firstly, molecular fingerprint similarity clustering analysis was performed on the target molecules. Secondly, multiple linear regression quantitative structure-activity relationship (MLR-QSAR) models of dietary flavonoids (2D descriptors and 3D descriptors optimized), with R2 of 0.927 and 0.934, respectively, were constructed using genetic algorithms. Finally, the MolNatSim tool based on the COCONUT database was used to match the similarity of each flavonoid in this study, and to sequentially perform molecular enrichment, similarity screening, and QSAR prediction. After screening, five kinds of natural product molecule (2-(3,5-dihydroxyphenyl)-5,7-dihydroxy-4H-chromen-4-one, norartocarpetin, 2-(2,5-dihydroxyphenyl)-5,7-dihydroxy-4H-chromen-4-one, 2-(3,4-dihydroxyphenyl)-5-hydroxy-4H-chromen-4-one, and morelosin) were finally obtained. Their IC50pre values were 8.977, 31.949, 78.566, 87.87, and 94.136 µM, respectively. Pharmacokinetic predictions evaluated the properties of the new natural products, such as bioavailability and toxicity. Molecular docking analysis revealed the interaction of candidate novel natural flavonoid compounds with the amino acid residues of α-glucosidase. Molecular dynamics (MD) simulations and molecular mechanics/generalized Born surface area (MMGBSA) further validated the stability of these novel natural compounds bound to α-glucosidase. The present findings may provide new directions in the search for novel natural α-glucosidase inhibitors.
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