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Bhattacharya K, Bordoloi R, Chanu NR, Kalita R, Sahariah BJ, Bhattacharjee A. In silico discovery of 3 novel quercetin derivatives against papain-like protease, spike protein, and 3C-like protease of SARS-CoV-2. J Genet Eng Biotechnol 2022; 20:43. [PMID: 35262828 PMCID: PMC8905286 DOI: 10.1186/s43141-022-00314-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 02/04/2022] [Indexed: 12/25/2022]
Abstract
BACKGROUND The derivatives of quercetin is known for their immune-modulating antiviral, anti-blood clotting, antioxidant, and also for its anti-inflammatory efficacy. The current study was therefore conducted to examine the noted novel derivatives of quercetin present in plant sources as an immune modulator and as an antiviral molecule in the COVID-19 disease and also to study their affinity of binding with potential three targets reported for coronavirus, i.e., papain-like protease, spike protein receptor-binding domain, and 3C-like protease. Based on the high-positive drug-likeness score, the reported derivatives of quercetin obtained from an open-source database were further filtered. Compounds with positive and high drug-likeness scores were further predicted for their potential targets using DIGEP-Pred software, and STRING was used to evaluate the interaction between modulated proteins. The associated pathways were recorded based on the Kyoto Encyclopedia of Genes and Genomes pathway database. Docking was performed finally using PyRx having AutoDock Vina to identify the efficacy of binding between quercetin derivatives with papain-like protease, spike protein receptor-binding domain, and 3C-like protease. The ligand that scored minimum binding energy was chosen to visualize the interaction between protein and ligand. Normal mode analysis in internal coordinates was done with normal mode analysis to evaluate the physical movement and stability of the best protein-ligand complexes using the iMODS server. RESULTS Forty bioactive compounds with the highest positive drug-likeness scores were identified. These 40 bioactives were responsible for regulating different pathways associated with antiviral activity and modulation of immunity. Finally, three lead molecules were identified based on the molecular docking and dynamics simulation studies with the highest anti-COVID-19 and immunomodulatory potentials. Standard antiviral drug remdesivir on docking showed a binding affinity of - 5.8 kcal/mol with PLpro, - 6.4 kcal/mol with 3CLpro, and - 8.6 kcal/mol with spike protein receptor-binding domain of SARS-CoV-2, the discovered hit molecules quercetin 3-O-arabinoside 7-O-rhamnoside showed binding affinity of - 8.2 kcal/mol with PLpro, whereas quercetin 3-[rhamnosyl-(1- > 2)-alpha-L-arabinopyranoside] and quercetin-3-neohesperidoside-7-rhamnoside was predicted to have a binding affinity of - 8.5 kcal/mol and - 8.8 kcal/mol with spike protein receptor-binding domain and 3CLpro respectively CONCLUSION: Docking study revealed quercetin 3-O-arabinoside 7-O-rhamnoside to possess the highest binding affinity with papain-like protease, quercetin 3-[rhamnosyl-(1- > 2)-alpha-L-arabinopyranoside] with spike protein receptor-binding domain, and quercetin-3-neohesperidoside-7-rhamnoside with 3C-like protease and all the protein-ligand complexes were found to be stable after performing the normal mode analysis of the complexes in internal coordinates.
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Chanu NR, Gogoi P, Alom Barbhuiya P, Pratim Dutta P, Pratim Pathak M, Sen S. Natural Flavonoids as Potential Therapeutics in the Management of Diabetic Wound: A Review. Curr Top Med Chem 2023; 23:690-710. [PMID: 37114791 DOI: 10.2174/1568026623666230419102140] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Revised: 02/25/2023] [Accepted: 02/27/2023] [Indexed: 04/29/2023]
Abstract
Flavonoids are important bioactive phenolic compounds abundant in plants and exhibit different therapeutic potentials. A wound is a significant problem in diabetic individuals. A hyperglycaemic environment alters the normal wound-healing process and increases the risk of microbial infection, leading to hospitalization, morbidity, and amputation. Flavonoids are an important class of phytochemicals with excellent antioxidant, anti-inflammatory, antimicrobial, antidiabetic, antitumor, and wound healing property. Quercetin, hesperidin, curcumin, kaempferol, apigenin, luteolin, morin, etc. have shown their wound healing potential. Flavonoids effectively exhibit antimicrobial activity, scavenge reactive oxygen species, augment endogenous antioxidants, reduce the expression and synthesis of inflammatory cytokines (i.e. IL-1β, IL-6, TNF-α, NF-κB), inhibit inflammatory enzymes, enhance anti-inflammatory cytokine (IL-10), enhance insulin section, reduce insulin resistance, and control blood glucose level. Several flavonoids like hesperidin, curcumin, quercetin, rutin, naringin, and luteolin have shown their potential in managing diabetic wounds. Natural products that maintain glucose haemostatic, exert anti-inflammatory activity, suppress/inhibit microbial growth, modulate cytokines, inhibit matrix metalloproteinase (MMP), stimulate angiogenesis and extracellular matrix, and modulate growth factor can be considered as a potential therapeutic lead to treat diabetic wound. Flavonoids were found to play a positive role in management of diabetic wounds by regulating MMP-2, MMP-8, MMP-9, MMP-13, Ras/Raf/ MEK/ERK, PI3K/Akt, and nitric oxide pathways. Therefore, it can be assumed that flavonoids could be potential therapeutics to prevent devastating effects of diabetic wounds. This paper focused on the potential role of flavonoids in managing diabetic wounds and discussed their possible mechanism of action.
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Bhattacharya K, Shamkh IM, Khan MS, Lotfy MM, Nzeyimana JB, Abutayeh RF, Hamdy NM, Hamza D, Chanu NR, Khanal P, Bhattacharjee A, Basalious EB. Multi-Epitope Vaccine Design against Monkeypox Virus via Reverse Vaccinology Method Exploiting Immunoinformatic and Bioinformatic Approaches. Vaccines (Basel) 2022; 10:2010. [PMID: 36560421 PMCID: PMC9786588 DOI: 10.3390/vaccines10122010] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 11/18/2022] [Accepted: 11/22/2022] [Indexed: 11/29/2022] Open
Abstract
(1) Background: The monkeypox virus is a zoonotic orthopox DNA virus that is closely linked to the virus. In light of the growing concern about this virus, the current research set out to use bioinformatics and immunoinformatics to develop a potential vaccine against the virus. (2) Methods: A multiepitope vaccine was constructed from the B-cell and T-cell epitopes of the MPXVgp181 strain using adjuvant and different linkers. The constructed vaccine was predicted for antigenicity, allergenicity, toxicity, and population coverage. In silico immune simulation studies were also carried out. Expression analysis and cloning of the constructed vaccine was carried out in the pET-28a(+) vector using snapgene. (3) Results: The constructed vaccine was predicted to be antigenic, non-allergenic, and non-toxic. It was predicted to have excellent global population coverage and produced satisfactory immune response. The in silico expression and cloning studies were successful in E. coli, which makes the vaccine construct suitable for mass production in the pharmaceutical industry. (4) Conclusion: The constructed vaccine is based on the B-cell and T-cell epitopes obtained from the MPXVgp181 strain. This research can be useful in developing a vaccine to combat the monkeypox virus globally after performing in-depth in vitro and in vivo studies.
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Bhattacharya K, Khanal P, Patil VS, Dwivedi PSR, Chanu NR, Chaudhary RK, Deka S, Chakraborty A. Computational pharmacology profiling of borapetoside C against melanoma. J Biomol Struct Dyn 2024; 42:3233-3248. [PMID: 37203884 DOI: 10.1080/07391102.2023.2213333] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Accepted: 05/04/2023] [Indexed: 05/20/2023]
Abstract
Melanoma,also known as a 'black tumor', begins in the melanocytes when cells (that produce pigment) grows out of control. Immunological dysregulation, which raises the risk for multiple illnesses, including melanoma, may be influenced by stress tiggered through viral infection, long term effects of ultraviolet radiation, environmental pollutants etc. Borapetoside C is one of the phytoconstituents from Tinospora crispa, and its biological source has been reported for its antistress property. Network pharmacology and KEGG pathway analysis of borapetoside C-regulated proteins were conducted to identify the hub genes involved in melanoma development. Further, a molecular docking was performed between borapetoside C and targets involved in melanoma. Further, the top 3 complexes were selected based on the binding energy to conduct molecular dynamics simulations to evaluate the stability of ligand-protein complex followed by principal component analysis and dynamic cross-correlation matrix. In addition, borapetoside C was also screened for its pharmacokinetics and toxicity profile. Network Pharmacology studies and KEGG pathway analysis revealed 8 targets involved in melanoma. Molecular docking between borapetoside C and targets involved in melanoma identified 3 complexes with minimum binding i.e. borapetoside C- MAP2K1, MMP9, and EGFR. Further, molecular dynamics simulations showed a stable complex of borapetoside C with MMP9 and EGFR. The present study suggested that borapetoside C may target MMP9 and EGFR to possess an anti-melanoma property. This finding can be useful in developing a novel therapeutic agent against melanoma from a natural source.Communicated by Ramaswamy H. Sarma.
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Chakraborty R, Sen S, Chanu NR, Singh AB, Lyngkhoi C, Kharlyngdoh S, Kalita P. An Ethnomedicinal Survey of Antidiabetic Plants and Preliminary Evaluation of Antioxidant, Hypoglycemic Activity Maesa indica Leaves, a Folk Antidiabetic Plant of Manipur, India. CURRENT TRADITIONAL MEDICINE 2021. [DOI: 10.2174/2215083806666200303120512] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Background:
Manipur is a small state of India, well known for its
folk medicine. Folk medicine practitioners of the state use a number of plants to
manage diabetes mellitus.
Objective:
This is an ethnomedicinal survey to find folk antidiabetic plants of the
Thoubal district of Manipur, India. This study aimed to investigate the antioxidant
and hypoglycemic potential of the chosen medicinal plant.
Methods:
An ethnomedicinal survey was carried out in Thoubal district, Manipur
to find out antidiabetic plants regularly used by tribal/folk medicinal practitioners.
Based on the information, Maesa indica leaves extracts (ethanol extract,
MIE; ethyl acetate extract, MIEA; petroleum ether extract, MIPE) were further
investigated for in vitro antioxidant and antidiabetic activity. Acute hypoglycemic
activity (streptozotocin-induced diabetes model) was evaluated and NGOGTT
tests were conducted to evaluate the hypoglycemic activity of Maesa indica
leaves.
Results:
Ethnomedicinal survey revealed that folk medicinal practitioners regularly
used 15 antidiabetic plants. Maesa indica is a plant of choice of folk medicinal
practitioners. MIE was found to possess strong oxidative haemolysis inhibition,
nitric oxide radical and DPPH radical scavenging effect with IC50 values of
54.5, 34.1 and 19.2 μg/mL, respectively. MIE inhibited α-glucosidase and α-amylase
with IC50 values of 18.2 and 31.2 μg/mL, respectively. MIE and MIEA produced
considerable hypoglycemic activity when tested through the NG-OGTT
model. MIE (500 mg/kg, b.w.) asserted significant acute hypoglycemic activity
by reducing blood glucose level after 1h, 2h, 3h, 5h, and 12h of drug administration
in streptozotocin-induced diabetic rats.
Conclusion:
The present study showed that the ethanol extract of Maesa indica
leaves possesses better activity compared to ethyl acetate and petroleum ether extract.
This study also confirmed the ethnobotanical claim about traditional use of
plant and antidiabetic potential of M. indica leaves.
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Bhattacharya K, Chanu NR, Jha SK, Khanal P, Paudel KR. In silico design and evaluation of a multiepitope vaccine targeting the nucleoprotein of Puumala orthohantavirus. Proteins 2024; 92:1161-1176. [PMID: 38742930 DOI: 10.1002/prot.26703] [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: 03/14/2024] [Revised: 04/19/2024] [Accepted: 05/02/2024] [Indexed: 05/16/2024]
Abstract
The Puumala orthohantavirus is present in the body of the bank vole (Myodes glareolus). Humans infected with this virus may develop hemorrhagic fever accompanying renal syndrome. In addition, the infection may further lead to the failure of an immune system completely. The present study aimed to propose a possible vaccine by employing bioinformatics techniques to identify B and T-cell antigens. The best multi-epitope of potential immunogenicity was generated by combining epitopes. Additionally, the linkers EAAAK, AAY, and GPGPG were utilized in order to link the epitopes successfully. Further, C-ImmSim was used to perform in silico immunological simulations upon the vaccine. For the purpose of conducting expression tests in Escherichia coli, the chimeric protein construct was cloned using Snapgene into the pET-9c vector. The designed vaccine showed adequate results, evidenced by the global population coverage and favorable immune response. The developed vaccine was found to be highly effective and to have excellent population coverage in a number of computer-based assessments. This work is fully dependent on the development of nucleoprotein-based vaccines, which would constitute a significant step forward if our findings were used in developing a global vaccination to combat the Puumala virus.
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Bhattacharya K, Chandra Nath B, Ahmed E, Khanal P, Chanu NR, Deka S, Das D, Shrivastava AK. Integration of network pharmacology, molecular docking, and simulations to evaluate phytochemicals from Drymaria cordata against cervical cancer. RSC Adv 2024; 14:4188-4200. [PMID: 38292259 PMCID: PMC10825855 DOI: 10.1039/d3ra06297j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 01/05/2024] [Indexed: 02/01/2024] Open
Abstract
Introduction: Cervical cancer is prevalent among women worldwide. It is a type of cancer that occurs in the cells of the cervix, the lower part of the uterus. Mostly, it is observed in developing nations due to limited access to screening tools. Natural products with anticancer properties and fewer side effects have gained attention. Therefore, this study evaluates the potential of Drymaria cordata as a natural source for treating cervical cancer. Methodology: Phytocompounds present in Drymaria cordata were screened for their molecular properties and drug-likeness. The selected compounds were studied using systems biology tools such as network pharmacology, molecular docking, and molecular dynamics simulations, including MMGBSA studies. Results: Through network pharmacology, molecular docking, and molecular dynamics simulations, quercetin 3-O-β-d-glucopyranosyl-(1→2)-rhamnopyranoside was identified as a hit compound targeting HRAS and VEGFA proteins. These proteins were found to be responsible for the maximum number of pathway modulations in cervical cancer. Conclusion: Drymaria cordata exhibits potential for treating cervical cancer due to the presence of quercetin 3-O-β-d-glucopyranosyl-(1→2)-rhamnopyranoside. Further validation of these findings through in vitro and in vivo studies is required.
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Bhattacharya K, Sungoh D, Kharmujai D, Islam A, Das D, Jha SK, Chanu NR, Kashyap B, Bora NS, Sahariah BJ, Deka S, Khanal P. Exploring the Therapeutic Potential of 8-Prenyldaidzein: A Comprehensive Study of its Multi-Target Efficacy in Alzheimer's Disease. Curr Alzheimer Res 2024; 21:578-598. [PMID: 39716790 DOI: 10.2174/0115672050358848241211080546] [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: 09/27/2024] [Revised: 11/12/2024] [Accepted: 11/15/2024] [Indexed: 12/25/2024]
Abstract
BACKGROUND Alzheimer's disease (AD) is marked by cognitive decline, amyloid plaques, neurofibrillary tangles, and cholinergic loss. Due to the limited success of amyloid-targeted therapies, attention has shifted to new non-amyloid targets like phosphodiesterases (PDE). This study investigates the potential of Flemingia vestita (FV) phytomolecules and derivatives, particularly 8-Prenyldaidzein, in AD treatment. MATERIALS AND METHODS Phytocompounds and derivatives were screened for drug-likeness, toxicity, BBB permeability, and ADME profiles. Molecular docking was conducted with PDE5A, BACE-1, and AChE, followed by molecular dynamics (MD) simulations on the best binding complexes. RESULTS 8-Prenyldaidzein, a derivative of daidzein, demonstrated favorable drug-likeness and ADME properties. It exhibited strong binding to PDE5A, BACE-1, and AChE, with MD simulations confirming stable protein-ligand interactions. DISCUSSION The multi-target potential of 8-Prenyldaidzein, particularly through non-amyloid pathways, offers a promising approach to AD therapy. Its inhibition of PDE5A, BACE-1, and AChE could address multiple aspects of AD pathology. CONCLUSION 8-Prenyldaidzein shows strong potential as a multi-target inhibitor for AD treatment. While in-silico findings are promising, further experimental validation is needed to confirm its clinical applicability.
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Afrin MR, Upadhyaya PG, Hashim A, Bhattacharya K, Chanu NR, Das D, Khanal P, Deka S. Advanced biomarkers: Beyond amyloid and tau: Emerging non-traditional biomarkers for alzheimer`s diagnosis and progression. Ageing Res Rev 2025; 108:102736. [PMID: 40122399 DOI: 10.1016/j.arr.2025.102736] [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: 01/07/2025] [Revised: 03/07/2025] [Accepted: 03/17/2025] [Indexed: 03/25/2025]
Abstract
Alzheimer's disease (AD) is the most common neurodegenerative disorder that leads to progressive cognitive decline and imposes a significant socio-economic burden. Traditional diagnostic methods, primarily based on amyloid-beta (Aβ) and tau biomarkers, often identify the disease at late stages, highlighting the need for more sensitive and accessible early detection tools. This review explores emerging non-traditional biomarkers, including salivary, lipid, urinary, synaptic, blood-based, microRNA (miRNA), cerebrospinal fluid (CSF), fecal, and inflammatory markers, which provide deeper insights into AD pathophysiology. These biomarkers reflect key pathological processes such as neuroinflammation, mitochondrial dysfunction, oxidative stress, synaptic damage, lipid dysregulation, and genetic factors. Non-invasive biomarkers, such as those found in saliva and urine, present promising avenues for large-scale screening, while advanced blood-based markers like neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) offer precise monitoring of neurodegeneration and inflammation. Additionally, miRNAs and lipid biomarkers shed light on molecular alterations in neuronal health and signaling. Integrating these biomarkers with imaging techniques, proteomics, and genetic profiling enhances diagnostic accuracy and enables personalized treatment approaches. This shift toward multi-dimensional biomarker assessment not only improves early detection but also aids in tailoring therapeutic strategies to individual disease profiles. By reviewing recent advancements, this article highlights the transformative potential of emerging biomarkers in overcoming the limitations of conventional diagnostics. Standardization and validation across diverse populations will be crucial in expanding their clinical applicability, ultimately improving disease management, reducing societal burden, and enhancing the quality of life for individuals affected by AD.
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Bhattacharya K, Mahato S, Deka S, Chanu NR, Shrivastava AK, Khanal P. Netting into the Sophoretin pool: An approach to trace GSTP1 inhibitors for reversing chemoresistance. Comput Biol Chem 2024; 108:107981. [PMID: 37976621 DOI: 10.1016/j.compbiolchem.2023.107981] [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: 09/27/2023] [Revised: 11/04/2023] [Accepted: 11/05/2023] [Indexed: 11/19/2023]
Abstract
Chemoresistance, a significant challenge in cancer treatment, is often associated with the cellular glutathione-related detoxification system. The GSTP1 isoenzyme (glutathione S-transferases) plays a critical role in the cytoplasmic inactivation of anticancer drugs. This suggests the identification of GSTP1 inhibitors to combat chemoresistance. We screened Sophoretin (also called quercetin) derivatives for molecular properties, pharmacokinetics, and toxicity profiles. Following that, we conducted molecular docking and simulations between selected derivatives and GSTP1. The best-docked complex, GSTP1-quercetin 7-O-β-D-glucoside, exhibited a binding affinity of -8.1 kcal/mol, with no predicted toxicity and good pharmacokinetic properties. Molecular dynamics simulations confirmed the stability of this complex. Quercetin 7-O-β-D-glucoside shows promise as a lead candidate for addressing chemoresistance in cancer patients, although further experimental studies are needed to validate its efficacy and therapeutic potential.
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Bhattacharya K, Sikdar J, Hussain I, Barman D, Shrivastava AK, Sahariah BJ, Bhattacharjee A, Chanu NR, Khanal P. Targeting Melanoma with a phytochemical pool: Tailing Makisterone C. Comput Biol Med 2023; 166:107499. [PMID: 37778211 DOI: 10.1016/j.compbiomed.2023.107499] [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: 06/06/2023] [Revised: 08/12/2023] [Accepted: 09/15/2023] [Indexed: 10/03/2023]
Abstract
BACKGROUND AND OBJECTIVE According to World Health Organization, melanoma claims the lives of about 48000 people worldwide each year. The purpose of this study was to identify potential phytochemical pool from Diplazium esculentum against proteins that contribute to melanoma development. METHODS The research was carried to locate potentially bioactive molecules and conduct a theoretical analysis of active ingredients from DE to impact melanoma. Network pharmacology, pharmacokinetics, protein network interaction, gene enrichment, survival, and infiltration analysis were conducted. Furthermore, molecular docking and molecular dynamics simulation was carried out for makisterone C-MAPK1, MAPK3, and AKT1 complexes. RESULTS The potential phytochemical pool were identified (stigmast-5-en-3-ol, esculentic acid, rutin, and makisterone C) and based on network pharmacology and molecular docking studies, makisterone-C was proposed to be the most promising ingredient. Furthermore, the investigation revealed 14 genes as critical "hubs" involved in combating melanoma that are manipulated by the above-mentioned 4 active ingredients and modulate multiple signaling in melanoma development. CONCLUSION This study insights into the potential anti-melanoma effects of phytochemical pool from Diplazium esculentum using network pharmacology analysis, molecular docking, and simulation tailing makisterone C as a lead moiety and suggests the need for makisterone C further evaluation in intervening melanoma progression.
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