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Machine learning applications in chemoinformatic analysis and virtual screening for natural products-based drug discovery

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dc.contributor.advisorDayangku Nurolaini Binti Pengiran Haji Muhd Kifli
dc.contributor.authorSaid Faroq, Saiyid Moshawih
dc.date.accessioned2026-01-15T07:27:31Z
dc.date.available2026-01-15T07:27:31Z
dc.date.issued2023
dc.descriptionxxviii, 272 pages : colour illustrations, tables ; 30 cm | Thesis submitted in fulfilment of the requirements for the degree of Doctor of Philosophy in Biomedical Sciences to the PAPRSB Institute of Health Sciences at Universiti Brunei Darussalam | Thesis is also available in CD and is not for loan or reference use | Thesis (Doctor of Philosophy in Biomedical Science) - Universiti Brunei Darussalam, 2023 | Includes bibliographical references page 272.
dc.description.sponsorshipUniversiti Brunei Darussalam. Pengiran Anak Puteri Rashidah Sa'adatul Bolkiah Institute of Health Sciences
dc.format.extentxxviii, 272 pages :
dc.identifier.urihttps://repository.ubd.edu.bn/handle/123456789/3853
dc.language.isoen
dc.publisherUniversiti Brunei Darussalam
dc.subjectUniversiti Brunei Darussalam -- Dissertations
dc.subjectCheminformatics
dc.subjectMachine learning
dc.subjectDrugs -- Design
dc.subjectDrug development
dc.subjectPharmaceutical technology
dc.subjectPharmacology -- Data processing
dc.subjectArtificial intelligence -- Medical applications
dc.titleMachine learning applications in chemoinformatic analysis and virtual screening for natural products-based drug discovery
dc.title.alternativeKTes RS418 S253 2023
dc.typeDissertations
dspace.entity.typePublication
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