QSAR-based virtual screening of traditional Chinese medicine for the identification of mitotic kinesin Eg5 inhibitors
Cell division is a crucial process for the growth and development of all living organisms. Unfortunately, uncontrolled cell division and growth is a hallmark of cancer, leading to the formation of tumors. The Human Eg5 protein, also known as the mitotic kinesin Eg5, plays a vital role in the regulat...
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Veröffentlicht in: | Computational biology and chemistry 2023-06, Vol.104, p.107865-107865, Article 107865 |
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creator | Bodun, Damilola S. Omoboyowa, Damilola A. Omotuyi, Olaposi I. Olugbogi, Ezekiel A. Balogun, Toheeb A. Ezeh, Chiamaka J. Omirin, Emmanuel S. |
description | Cell division is a crucial process for the growth and development of all living organisms. Unfortunately, uncontrolled cell division and growth is a hallmark of cancer, leading to the formation of tumors. The Human Eg5 protein, also known as the mitotic kinesin Eg5, plays a vital role in the regulation of cell division and its dysfunction has been linked to cancer development. This study aimed to identify new inhibitors of the Human Eg5 protein. Over 2000 Traditional Chinese Medicine (TCM) compounds were screened through a combination of virtual and structure-based screening methods. The top five compounds (Compounds 1–5) showed improved binding affinity to Human Eg5 compared to the standard drug Monastrol, as demonstrated by docking and MMGBSA scores, as well as interactions with key amino acids GLY 116 and GLY 118. The potential absorption and bioactivity of these compounds were also predicted through ADMET properties and a QSAR model, respectively, and showed improved results compared to the standard. Further quantum mechanics docking confirmed the better binding affinity of the lead compound, Compound 1. Our findings highlight Compound 1–5 as promising hits for inhibiting Human Eg5 and the need for experimental validation of their potential in treating cancer.
[Display omitted]
•Pharmacophore modeling, QSAR, and virtual screening identified potential Eg5 inhibitors from a TCM library.•Top-ranked compounds had better potential than Monastrol as Eg5 inhibitors based on pIC50, docking, MMGBSA, and ADME parameters.•Compound 1 was identified as the lead compound with stronger binding affinity to Eg5 than Monastrol using QPLD.•Molecular dynamics simulation supported QPLD, indicating Compound 1 has more stable binding and longer duration of action potential. |
doi_str_mv | 10.1016/j.compbiolchem.2023.107865 |
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[Display omitted]
•Pharmacophore modeling, QSAR, and virtual screening identified potential Eg5 inhibitors from a TCM library.•Top-ranked compounds had better potential than Monastrol as Eg5 inhibitors based on pIC50, docking, MMGBSA, and ADME parameters.•Compound 1 was identified as the lead compound with stronger binding affinity to Eg5 than Monastrol using QPLD.•Molecular dynamics simulation supported QPLD, indicating Compound 1 has more stable binding and longer duration of action potential.</description><identifier>ISSN: 1476-9271</identifier><identifier>EISSN: 1476-928X</identifier><identifier>DOI: 10.1016/j.compbiolchem.2023.107865</identifier><identifier>PMID: 37062146</identifier><language>eng</language><publisher>England: Elsevier Ltd</publisher><subject>DFT ; Human Eg5 ; Humans ; In-silico ; Kinesins ; Medicine, Chinese Traditional ; Neoplasms ; Protein Binding ; QPLD ; Quantitative Structure-Activity Relationship ; TCM</subject><ispartof>Computational biology and chemistry, 2023-06, Vol.104, p.107865-107865, Article 107865</ispartof><rights>2023 Elsevier Ltd</rights><rights>Copyright © 2023 Elsevier Ltd. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c380t-6d7d34fbafbf0600ff9aa5b248af7722bd24876b4bea596b7706f19636c5291d3</citedby><cites>FETCH-LOGICAL-c380t-6d7d34fbafbf0600ff9aa5b248af7722bd24876b4bea596b7706f19636c5291d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.compbiolchem.2023.107865$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,777,781,3537,27905,27906,45976</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37062146$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bodun, Damilola S.</creatorcontrib><creatorcontrib>Omoboyowa, Damilola A.</creatorcontrib><creatorcontrib>Omotuyi, Olaposi I.</creatorcontrib><creatorcontrib>Olugbogi, Ezekiel A.</creatorcontrib><creatorcontrib>Balogun, Toheeb A.</creatorcontrib><creatorcontrib>Ezeh, Chiamaka J.</creatorcontrib><creatorcontrib>Omirin, Emmanuel S.</creatorcontrib><title>QSAR-based virtual screening of traditional Chinese medicine for the identification of mitotic kinesin Eg5 inhibitors</title><title>Computational biology and chemistry</title><addtitle>Comput Biol Chem</addtitle><description>Cell division is a crucial process for the growth and development of all living organisms. Unfortunately, uncontrolled cell division and growth is a hallmark of cancer, leading to the formation of tumors. The Human Eg5 protein, also known as the mitotic kinesin Eg5, plays a vital role in the regulation of cell division and its dysfunction has been linked to cancer development. This study aimed to identify new inhibitors of the Human Eg5 protein. Over 2000 Traditional Chinese Medicine (TCM) compounds were screened through a combination of virtual and structure-based screening methods. The top five compounds (Compounds 1–5) showed improved binding affinity to Human Eg5 compared to the standard drug Monastrol, as demonstrated by docking and MMGBSA scores, as well as interactions with key amino acids GLY 116 and GLY 118. The potential absorption and bioactivity of these compounds were also predicted through ADMET properties and a QSAR model, respectively, and showed improved results compared to the standard. Further quantum mechanics docking confirmed the better binding affinity of the lead compound, Compound 1. Our findings highlight Compound 1–5 as promising hits for inhibiting Human Eg5 and the need for experimental validation of their potential in treating cancer.
[Display omitted]
•Pharmacophore modeling, QSAR, and virtual screening identified potential Eg5 inhibitors from a TCM library.•Top-ranked compounds had better potential than Monastrol as Eg5 inhibitors based on pIC50, docking, MMGBSA, and ADME parameters.•Compound 1 was identified as the lead compound with stronger binding affinity to Eg5 than Monastrol using QPLD.•Molecular dynamics simulation supported QPLD, indicating Compound 1 has more stable binding and longer duration of action potential.</description><subject>DFT</subject><subject>Human Eg5</subject><subject>Humans</subject><subject>In-silico</subject><subject>Kinesins</subject><subject>Medicine, Chinese Traditional</subject><subject>Neoplasms</subject><subject>Protein Binding</subject><subject>QPLD</subject><subject>Quantitative Structure-Activity Relationship</subject><subject>TCM</subject><issn>1476-9271</issn><issn>1476-928X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNkE1v1DAQhiNERUvhLyCLE5csjpPYCbdqWz6kSqgFJG6WP8bdWRJ7sZ1K_fc42lJx5OSR53lnNE9VvW3opqENf7_fmDAfNIbJ7GDeMMra0hAD759VZ00neD2y4efzp1o0p9XLlPa0gJT2L6rTVlDOmo6fVcvNt4vbWqsEltxjzIuaSDIRwKO_I8GRHJXFjMGXxnaHHhKQGSyaUhIXIsk7IGjBZ3Ro1EqusRlzyGjIrzWBnlzd9QT9DnX5j-lVdeLUlOD143te_fh49X37ub7--unL9uK6Nu1Ac82tsG3ntHLaUU6pc6NSvWbdoJwQjGlbSsF1p0H1I9einOWakbfc9GxsbHtevTvOPcTwe4GU5YzJwDQpD2FJkg2UdUx0oivohyNqYkgpgpOHiLOKD7KhctUu9_Jf7XLVLo_aS_jN455FFzlP0b-eC3B5BKBce48QZTII3hSREUyWNuD_7PkDvt-ccA</recordid><startdate>202306</startdate><enddate>202306</enddate><creator>Bodun, Damilola S.</creator><creator>Omoboyowa, Damilola A.</creator><creator>Omotuyi, Olaposi I.</creator><creator>Olugbogi, Ezekiel A.</creator><creator>Balogun, Toheeb A.</creator><creator>Ezeh, Chiamaka J.</creator><creator>Omirin, Emmanuel S.</creator><general>Elsevier Ltd</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>202306</creationdate><title>QSAR-based virtual screening of traditional Chinese medicine for the identification of mitotic kinesin Eg5 inhibitors</title><author>Bodun, Damilola S. ; Omoboyowa, Damilola A. ; Omotuyi, Olaposi I. ; Olugbogi, Ezekiel A. ; Balogun, Toheeb A. ; Ezeh, Chiamaka J. ; Omirin, Emmanuel S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c380t-6d7d34fbafbf0600ff9aa5b248af7722bd24876b4bea596b7706f19636c5291d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>DFT</topic><topic>Human Eg5</topic><topic>Humans</topic><topic>In-silico</topic><topic>Kinesins</topic><topic>Medicine, Chinese Traditional</topic><topic>Neoplasms</topic><topic>Protein Binding</topic><topic>QPLD</topic><topic>Quantitative Structure-Activity Relationship</topic><topic>TCM</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bodun, Damilola S.</creatorcontrib><creatorcontrib>Omoboyowa, Damilola A.</creatorcontrib><creatorcontrib>Omotuyi, Olaposi I.</creatorcontrib><creatorcontrib>Olugbogi, Ezekiel A.</creatorcontrib><creatorcontrib>Balogun, Toheeb A.</creatorcontrib><creatorcontrib>Ezeh, Chiamaka J.</creatorcontrib><creatorcontrib>Omirin, Emmanuel S.</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>Computational biology and chemistry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bodun, Damilola S.</au><au>Omoboyowa, Damilola A.</au><au>Omotuyi, Olaposi I.</au><au>Olugbogi, Ezekiel A.</au><au>Balogun, Toheeb A.</au><au>Ezeh, Chiamaka J.</au><au>Omirin, Emmanuel S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>QSAR-based virtual screening of traditional Chinese medicine for the identification of mitotic kinesin Eg5 inhibitors</atitle><jtitle>Computational biology and chemistry</jtitle><addtitle>Comput Biol Chem</addtitle><date>2023-06</date><risdate>2023</risdate><volume>104</volume><spage>107865</spage><epage>107865</epage><pages>107865-107865</pages><artnum>107865</artnum><issn>1476-9271</issn><eissn>1476-928X</eissn><abstract>Cell division is a crucial process for the growth and development of all living organisms. Unfortunately, uncontrolled cell division and growth is a hallmark of cancer, leading to the formation of tumors. The Human Eg5 protein, also known as the mitotic kinesin Eg5, plays a vital role in the regulation of cell division and its dysfunction has been linked to cancer development. This study aimed to identify new inhibitors of the Human Eg5 protein. Over 2000 Traditional Chinese Medicine (TCM) compounds were screened through a combination of virtual and structure-based screening methods. The top five compounds (Compounds 1–5) showed improved binding affinity to Human Eg5 compared to the standard drug Monastrol, as demonstrated by docking and MMGBSA scores, as well as interactions with key amino acids GLY 116 and GLY 118. The potential absorption and bioactivity of these compounds were also predicted through ADMET properties and a QSAR model, respectively, and showed improved results compared to the standard. Further quantum mechanics docking confirmed the better binding affinity of the lead compound, Compound 1. Our findings highlight Compound 1–5 as promising hits for inhibiting Human Eg5 and the need for experimental validation of their potential in treating cancer.
[Display omitted]
•Pharmacophore modeling, QSAR, and virtual screening identified potential Eg5 inhibitors from a TCM library.•Top-ranked compounds had better potential than Monastrol as Eg5 inhibitors based on pIC50, docking, MMGBSA, and ADME parameters.•Compound 1 was identified as the lead compound with stronger binding affinity to Eg5 than Monastrol using QPLD.•Molecular dynamics simulation supported QPLD, indicating Compound 1 has more stable binding and longer duration of action potential.</abstract><cop>England</cop><pub>Elsevier Ltd</pub><pmid>37062146</pmid><doi>10.1016/j.compbiolchem.2023.107865</doi><tpages>1</tpages></addata></record> |
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subjects | DFT Human Eg5 Humans In-silico Kinesins Medicine, Chinese Traditional Neoplasms Protein Binding QPLD Quantitative Structure-Activity Relationship TCM |
title | QSAR-based virtual screening of traditional Chinese medicine for the identification of mitotic kinesin Eg5 inhibitors |
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