IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0141719.html
   My bibliography  Save this article

Potential Compounds for Oral Cancer Treatment: Resveratrol, Nimbolide, Lovastatin, Bortezomib, Vorinostat, Berberine, Pterostilbene, Deguelin, Andrographolide, and Colchicine

Author

Listed:
  • Saurabh Bundela
  • Anjana Sharma
  • Prakash S Bisen

Abstract

Oral cancer is one of the main causes of cancer-related deaths in South-Asian countries. There are very limited treatment options available for oral cancer. Research endeavors focused on discovery and development of novel therapies for oral cancer, is necessary to control the ever rising oral cancer related mortalities. We mined the large pool of compounds from the publicly available compound databases, to identify potential therapeutic compounds for oral cancer. Over 84 million compounds were screened for the possible anti-cancer activity by custom build SVM classifier. The molecular targets of the predicted anti-cancer compounds were mined from reliable sources like experimental bioassays studies associated with the compound, and from protein-compound interaction databases. Therapeutic compounds from DrugBank, and a list of natural anti-cancer compounds derived from literature mining of published studies, were used for building partial least squares regression model. The regression model thus built, was used for the estimation of oral cancer specific weights based on the molecular targets. These weights were used to compute scores for screening the predicted anti-cancer compounds for their potential to treat oral cancer. The list of potential compounds was annotated with corresponding physicochemical properties, cancer specific bioactivity evidences, and literature evidences. In all, 288 compounds with the potential to treat oral cancer were identified in the current study. The majority of the compounds in this list are natural products, which are well-tolerated and have minimal side-effects compared to the synthetic counterparts. Some of the potential therapeutic compounds identified in the current study are resveratrol, nimbolide, lovastatin, bortezomib, vorinostat, berberine, pterostilbene, deguelin, andrographolide, and colchicine.

Suggested Citation

  • Saurabh Bundela & Anjana Sharma & Prakash S Bisen, 2015. "Potential Compounds for Oral Cancer Treatment: Resveratrol, Nimbolide, Lovastatin, Bortezomib, Vorinostat, Berberine, Pterostilbene, Deguelin, Andrographolide, and Colchicine," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-31, November.
  • Handle: RePEc:plo:pone00:0141719
    DOI: 10.1371/journal.pone.0141719
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0141719
    Download Restriction: no

    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0141719&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pone.0141719?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Mevik, Björn-Helge & Wehrens, Ron, 2007. "The pls Package: Principal Component and Partial Least Squares Regression in R," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 18(i02).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Fan, Jianqing & Jiang, Bai & Sun, Qiang, 2022. "Bayesian factor-adjusted sparse regression," Journal of Econometrics, Elsevier, vol. 230(1), pages 3-19.
    2. repec:jss:jstsof:23:i12 is not listed on IDEAS
    3. Elton Mammadov & Michael Denk & Frank Riedel & Cezary Kaźmierowski & Karolina Lewinska & Remigiusz Łukowiak & Witold Grzebisz & Amrakh I. Mamedov & Cornelia Glaesser, 2022. "Determination of Mehlich 3 Extractable Elements with Visible and Near Infrared Spectroscopy in a Mountainous Agricultural Land, the Caucasus Mountains," Land, MDPI, vol. 11(3), pages 1-24, March.
    4. Giacomo Crucil & Fabio Castaldi & Emilien Aldana-Jague & Bas van Wesemael & Andy Macdonald & Kristof Van Oost, 2019. "Assessing the Performance of UAS-Compatible Multispectral and Hyperspectral Sensors for Soil Organic Carbon Prediction," Sustainability, MDPI, vol. 11(7), pages 1-18, March.
    5. Bennett, Donyetta & Mekelburg, Erik & Strauss, Jack & Williams, T.H., 2024. "Unlocking the black box of sentiment and cryptocurrency: What, which, why, when and how?," Global Finance Journal, Elsevier, vol. 60(C).
    6. Alessandro Barbarino & Efstathia Bura, 2015. "Forecasting with Sufficient Dimension Reductions," Finance and Economics Discussion Series 2015-74, Board of Governors of the Federal Reserve System (U.S.).
    7. Samuel Trachsel & Thanda Dhliwayo & Lorena Gonzalez Perez & Jose Alberto Mendoza Lugo & Mathias Trachsel, 2019. "Estimation of physiological genomic estimated breeding values (PGEBV) combining full hyperspectral and marker data across environments for grain yield under combined heat and drought stress in tropica," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-15, March.
    8. Tomasz Rymarczyk & Krzysztof Król & Edward Kozłowski & Tomasz Wołowiec & Marta Cholewa-Wiktor & Piotr Bednarczuk, 2021. "Application of Electrical Tomography Imaging Using Machine Learning Methods for the Monitoring of Flood Embankments Leaks," Energies, MDPI, vol. 14(23), pages 1-35, December.
    9. Robert Pater & Łukasz Cywiński & Ruslan Harasym & Kazimierz Tarchalski, 2018. "Intangible capital and the economic growth in Poland," Bank i Kredyt, Narodowy Bank Polski, vol. 49(2), pages 93-114.
    10. Natallia Pashkevich & Darek Haftor & Mikael Karlsson & Soumitra Chowdhury, 2019. "Sustainability through the Digitalization of Industrial Machines: Complementary Factors of Fuel Consumption and Productivity for Forklifts with Sensors," Sustainability, MDPI, vol. 11(23), pages 1-21, November.
    11. Hernandez-Villafuerte, Karla Vanessa, 2011. "Relationship Between Spatial Price Transmission And Geographical Distance In Brazil," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114545, European Association of Agricultural Economists.
    12. Nunes Matthew A & Balding David J, 2010. "On Optimal Selection of Summary Statistics for Approximate Bayesian Computation," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 9(1), pages 1-16, September.
    13. Wehrens, Ron & Franceschi, Pietro, 2012. "Meta-Statistics for Variable Selection: The R Package BioMark," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 51(i10).
    14. Oladosu, Gbadebo A. & Leiby, Paul N. & Bowman, David C. & Uría-Martínez, Rocio & Johnson, Megan M., 2018. "Impacts of oil price shocks on the United States economy: A meta-analysis of the oil price elasticity of GDP for net oil-importing economies," Energy Policy, Elsevier, vol. 115(C), pages 523-544.
    15. Charlotte Höpker & Klaus Dittert & Hans-Werner Olfs, 2025. "On-Farm Application of Near-Infrared Spectroscopy for the Determination of Nutrients in Liquid Organic Manures: Challenges and Opportunities," Agriculture, MDPI, vol. 15(2), pages 1-15, January.
    16. Zhao, Ting & Yang, Zhenshan, 2017. "Towards green growth and management: Relative efficiency and gaps of Chinese cities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 481-494.
    17. Miles Grafton & Therese Kaul & Alan Palmer & Peter Bishop & Michael White, 2019. "Technical Note: Regression Analysis of Proximal Hyperspectral Data to Predict Soil pH and Olsen P," Agriculture, MDPI, vol. 9(3), pages 1-18, March.
    18. Tanin Sirimongkolkasem & Reza Drikvandi, 2019. "On Regularisation Methods for Analysis of High Dimensional Data," Annals of Data Science, Springer, vol. 6(4), pages 737-763, December.
    19. Radim VAŠÁT & Radka KODEŠOVÁ & Aleš KLEMENT & Ondřej JAKŠÍK, 2015. "Predicting oxidizable carbon content via visible- and near-infrared diffuse reflectance spectroscopy in soils heavily affected by water erosion," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 10(2), pages 74-77.
    20. Carolina Olid & Valentí Rodellas & Gerard Rocher-Ros & Jordi Garcia-Orellana & Marc Diego-Feliu & Aaron Alorda-Kleinglass & David Bastviken & Jan Karlsson, 2022. "Groundwater discharge as a driver of methane emissions from Arctic lakes," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    21. Fitzpatrick, Trevor & Mues, Christophe, 2021. "How can lenders prosper? Comparing machine learning approaches to identify profitable peer-to-peer loan investments," European Journal of Operational Research, Elsevier, vol. 294(2), pages 711-722.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pone00:0141719. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.