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In silico study on antidiabetic and antioxidant activity of bioactive compounds in Ficus carica L
Hyperglycemia is one of the diagnostic issues in diabetes mellitus and is considered as a complex metabolic condition. It has been one of the most prevalent illnesses of the twenty-first century and still rising at an alarming rate across the globe and expected to impact 693 million individuals by 2...
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Published in: | Journal of biomolecular structure & dynamics 2024-09, Vol.42 (14), p.7515-7531 |
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creator | Raman, Anirudh Pratap Singh Pongpaiboon, Siwat Bhatia, Rohit Lal Dabodhia, Kawar Kumar, Ajay Kumar, Durgesh Jain, Pallavi Sagar, Mansi Singh, Prashant Kumari, Kamlesh |
description | Hyperglycemia is one of the diagnostic issues in diabetes mellitus and is considered as a complex metabolic condition. It has been one of the most prevalent illnesses of the twenty-first century and still rising at an alarming rate across the globe and expected to impact 693 million individuals by 2045. Therefore, it is mandatory to develop more effective and safer treatments to manage diabetes. One of the ways to manage hyperglycemia is through inhibiting carbohydrate digestion and thereby lowering the glucose formation in the human body. The enzyme salivary amylase and pancreatic amylase is responsible for cleaving α-1,4-glucoside bond. Amylase inhibitors can lower blood glucose in diabetics by slowing digestion. Ficus carica is commonly known for its medicinal properties due to its various phytochemicals. In the present study, 10 phytochemicals present in F. carica compounds named, β-carotene, lutein, cyanidin-3-glucoside, gallic acid, luteolin, catechin, kaempferol, vanillic acid, peonidin-3-glucoside, and quercetin hydrate were taken to study their inhibition potential against pancreatic amylase and salivary amylase through molecular docking and molecular dynamics simulations. Further, density functional theory calculations are used to investigate the delocalization of electron density on the molecule as well as study ADME properties of the molecules take. A QSAR model has been developed using the binding energy obtained using molecular docking and thermodynamic parameters from DFT calculations.
Communicated by Ramaswamy H. Sarma |
doi_str_mv | 10.1080/07391102.2023.2240425 |
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Communicated by Ramaswamy H. Sarma</description><identifier>ISSN: 0739-1102</identifier><identifier>ISSN: 1538-0254</identifier><identifier>EISSN: 1538-0254</identifier><identifier>DOI: 10.1080/07391102.2023.2240425</identifier><identifier>PMID: 37545143</identifier><language>eng</language><publisher>England: Taylor & Francis</publisher><subject>Antioxidants - chemistry ; Antioxidants - pharmacology ; Computer Simulation ; DFT calculations ; Ficus - chemistry ; Humans ; Hypoglycemic Agents - chemistry ; Hypoglycemic Agents - pharmacology ; molecular docking ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Molecular dynamics simulations ; Phytochemicals - chemistry ; Phytochemicals - pharmacology ; Plant Extracts - chemistry ; Plant Extracts - pharmacology ; QSAR studies ; α-Amylase</subject><ispartof>Journal of biomolecular structure & dynamics, 2024-09, Vol.42 (14), p.7515-7531</ispartof><rights>2023 Informa UK Limited, trading as Taylor & Francis Group 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c366t-ac308df37a49908392581e5edd474c7f14897f2d1e15940c482a2e24b1d2b9a93</citedby><cites>FETCH-LOGICAL-c366t-ac308df37a49908392581e5edd474c7f14897f2d1e15940c482a2e24b1d2b9a93</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37545143$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Raman, Anirudh Pratap Singh</creatorcontrib><creatorcontrib>Pongpaiboon, Siwat</creatorcontrib><creatorcontrib>Bhatia, Rohit</creatorcontrib><creatorcontrib>Lal Dabodhia, Kawar</creatorcontrib><creatorcontrib>Kumar, Ajay</creatorcontrib><creatorcontrib>Kumar, Durgesh</creatorcontrib><creatorcontrib>Jain, Pallavi</creatorcontrib><creatorcontrib>Sagar, Mansi</creatorcontrib><creatorcontrib>Singh, Prashant</creatorcontrib><creatorcontrib>Kumari, Kamlesh</creatorcontrib><title>In silico study on antidiabetic and antioxidant activity of bioactive compounds in Ficus carica L</title><title>Journal of biomolecular structure & dynamics</title><addtitle>J Biomol Struct Dyn</addtitle><description>Hyperglycemia is one of the diagnostic issues in diabetes mellitus and is considered as a complex metabolic condition. It has been one of the most prevalent illnesses of the twenty-first century and still rising at an alarming rate across the globe and expected to impact 693 million individuals by 2045. Therefore, it is mandatory to develop more effective and safer treatments to manage diabetes. One of the ways to manage hyperglycemia is through inhibiting carbohydrate digestion and thereby lowering the glucose formation in the human body. The enzyme salivary amylase and pancreatic amylase is responsible for cleaving α-1,4-glucoside bond. Amylase inhibitors can lower blood glucose in diabetics by slowing digestion. Ficus carica is commonly known for its medicinal properties due to its various phytochemicals. In the present study, 10 phytochemicals present in F. carica compounds named, β-carotene, lutein, cyanidin-3-glucoside, gallic acid, luteolin, catechin, kaempferol, vanillic acid, peonidin-3-glucoside, and quercetin hydrate were taken to study their inhibition potential against pancreatic amylase and salivary amylase through molecular docking and molecular dynamics simulations. Further, density functional theory calculations are used to investigate the delocalization of electron density on the molecule as well as study ADME properties of the molecules take. A QSAR model has been developed using the binding energy obtained using molecular docking and thermodynamic parameters from DFT calculations.
Communicated by Ramaswamy H. Sarma</description><subject>Antioxidants - chemistry</subject><subject>Antioxidants - pharmacology</subject><subject>Computer Simulation</subject><subject>DFT calculations</subject><subject>Ficus - chemistry</subject><subject>Humans</subject><subject>Hypoglycemic Agents - chemistry</subject><subject>Hypoglycemic Agents - pharmacology</subject><subject>molecular docking</subject><subject>Molecular Docking Simulation</subject><subject>Molecular Dynamics Simulation</subject><subject>Molecular dynamics simulations</subject><subject>Phytochemicals - chemistry</subject><subject>Phytochemicals - pharmacology</subject><subject>Plant Extracts - chemistry</subject><subject>Plant Extracts - pharmacology</subject><subject>QSAR studies</subject><subject>α-Amylase</subject><issn>0739-1102</issn><issn>1538-0254</issn><issn>1538-0254</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp9kM1KAzEURoMotlYfQcnSzdT8NpOdUqwWCm50HTJJBiIzk5pk1L69M2116erjXs69HxwArjGaY1SiOySoxBiROUGEzglhiBF-AqaY07JAhLNTMB2ZYoQm4CKld4QIxgKfgwkVnHHM6BTodQeTb7wJMOXe7mDooO6yt15XLnszDHa_CN_eDgm1yf7T5wGsYeXDfnTQhHYb-s4m6Du48qZP0OjojYabS3BW6ya5q2POwNvq8XX5XGxentbLh01h6GKRC20oKm1NhWZSopJKwkvsuLOWCWZEjVkpRU0sdphLhgwriSaOsApbUkkt6QzcHv5uY_joXcqq9cm4ptGdC31SpGSCMiKFGFB-QE0MKUVXq230rY47hZEa7apfu2q0q452h7ubY0Vftc7-Xf3qHID7A-C7OsRWf4XYWJX1rgmxjrozPin6f8cPjM2Iuw</recordid><startdate>20240921</startdate><enddate>20240921</enddate><creator>Raman, Anirudh Pratap Singh</creator><creator>Pongpaiboon, Siwat</creator><creator>Bhatia, Rohit</creator><creator>Lal Dabodhia, Kawar</creator><creator>Kumar, Ajay</creator><creator>Kumar, Durgesh</creator><creator>Jain, Pallavi</creator><creator>Sagar, Mansi</creator><creator>Singh, Prashant</creator><creator>Kumari, Kamlesh</creator><general>Taylor & Francis</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>20240921</creationdate><title>In silico study on antidiabetic and antioxidant activity of bioactive compounds in Ficus carica L</title><author>Raman, Anirudh Pratap Singh ; Pongpaiboon, Siwat ; Bhatia, Rohit ; Lal Dabodhia, Kawar ; Kumar, Ajay ; Kumar, Durgesh ; Jain, Pallavi ; Sagar, Mansi ; Singh, Prashant ; Kumari, Kamlesh</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c366t-ac308df37a49908392581e5edd474c7f14897f2d1e15940c482a2e24b1d2b9a93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Antioxidants - chemistry</topic><topic>Antioxidants - pharmacology</topic><topic>Computer Simulation</topic><topic>DFT calculations</topic><topic>Ficus - chemistry</topic><topic>Humans</topic><topic>Hypoglycemic Agents - chemistry</topic><topic>Hypoglycemic Agents - pharmacology</topic><topic>molecular docking</topic><topic>Molecular Docking Simulation</topic><topic>Molecular Dynamics Simulation</topic><topic>Molecular dynamics simulations</topic><topic>Phytochemicals - chemistry</topic><topic>Phytochemicals - pharmacology</topic><topic>Plant Extracts - chemistry</topic><topic>Plant Extracts - pharmacology</topic><topic>QSAR studies</topic><topic>α-Amylase</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Raman, Anirudh Pratap Singh</creatorcontrib><creatorcontrib>Pongpaiboon, Siwat</creatorcontrib><creatorcontrib>Bhatia, Rohit</creatorcontrib><creatorcontrib>Lal Dabodhia, Kawar</creatorcontrib><creatorcontrib>Kumar, Ajay</creatorcontrib><creatorcontrib>Kumar, Durgesh</creatorcontrib><creatorcontrib>Jain, Pallavi</creatorcontrib><creatorcontrib>Sagar, Mansi</creatorcontrib><creatorcontrib>Singh, Prashant</creatorcontrib><creatorcontrib>Kumari, Kamlesh</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of biomolecular structure & dynamics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Raman, Anirudh Pratap Singh</au><au>Pongpaiboon, Siwat</au><au>Bhatia, Rohit</au><au>Lal Dabodhia, Kawar</au><au>Kumar, Ajay</au><au>Kumar, Durgesh</au><au>Jain, Pallavi</au><au>Sagar, Mansi</au><au>Singh, Prashant</au><au>Kumari, Kamlesh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>In silico study on antidiabetic and antioxidant activity of bioactive compounds in Ficus carica L</atitle><jtitle>Journal of biomolecular structure & dynamics</jtitle><addtitle>J Biomol Struct Dyn</addtitle><date>2024-09-21</date><risdate>2024</risdate><volume>42</volume><issue>14</issue><spage>7515</spage><epage>7531</epage><pages>7515-7531</pages><issn>0739-1102</issn><issn>1538-0254</issn><eissn>1538-0254</eissn><abstract>Hyperglycemia is one of the diagnostic issues in diabetes mellitus and is considered as a complex metabolic condition. It has been one of the most prevalent illnesses of the twenty-first century and still rising at an alarming rate across the globe and expected to impact 693 million individuals by 2045. Therefore, it is mandatory to develop more effective and safer treatments to manage diabetes. One of the ways to manage hyperglycemia is through inhibiting carbohydrate digestion and thereby lowering the glucose formation in the human body. The enzyme salivary amylase and pancreatic amylase is responsible for cleaving α-1,4-glucoside bond. Amylase inhibitors can lower blood glucose in diabetics by slowing digestion. Ficus carica is commonly known for its medicinal properties due to its various phytochemicals. In the present study, 10 phytochemicals present in F. carica compounds named, β-carotene, lutein, cyanidin-3-glucoside, gallic acid, luteolin, catechin, kaempferol, vanillic acid, peonidin-3-glucoside, and quercetin hydrate were taken to study their inhibition potential against pancreatic amylase and salivary amylase through molecular docking and molecular dynamics simulations. Further, density functional theory calculations are used to investigate the delocalization of electron density on the molecule as well as study ADME properties of the molecules take. A QSAR model has been developed using the binding energy obtained using molecular docking and thermodynamic parameters from DFT calculations.
Communicated by Ramaswamy H. Sarma</abstract><cop>England</cop><pub>Taylor & Francis</pub><pmid>37545143</pmid><doi>10.1080/07391102.2023.2240425</doi><tpages>17</tpages></addata></record> |
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subjects | Antioxidants - chemistry Antioxidants - pharmacology Computer Simulation DFT calculations Ficus - chemistry Humans Hypoglycemic Agents - chemistry Hypoglycemic Agents - pharmacology molecular docking Molecular Docking Simulation Molecular Dynamics Simulation Molecular dynamics simulations Phytochemicals - chemistry Phytochemicals - pharmacology Plant Extracts - chemistry Plant Extracts - pharmacology QSAR studies α-Amylase |
title | In silico study on antidiabetic and antioxidant activity of bioactive compounds in Ficus carica L |
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