Computational Approaches Used in Anticancer Plants

dc.contributor.authorUlucan-Karnak, Fulden
dc.contributor.authorYılmaz-Serçinoğlu, Zeynep
dc.contributor.authorSerçinoğlu, Onur
dc.contributor.authorAli, Ahmad
dc.date.accessioned2025-10-29T12:10:13Z
dc.date.issued2023
dc.departmentGebze Teknik Üniversitesi
dc.description.abstractCancer affects millions of people worldwide. A lot of research is conducted to find effective and low-cost medicine. Plant-derived natural-based products have gained attention over the past decades as novel therapeutic agents. Nature is an enormous source of therapeutic candidate compounds with its chemical diversity. Anticancer plant metabolites are imminent substitutions to chemically synthesized drugs in the progression of drug discovery. Potential anticancer molecules can be identified by bioinformatics-based tools. Computational approaches may thus pave the way for fast and cost-effective identification of potential drug candidates and molecular targets. In this chapter, we provide an overview of the use of herbal resources for cancer treatment, drug design strategies-in, particularly structure-based drug design, and example applications of drug design for plant-based compounds. © 2023 Elsevier B.V., All rights reserved.
dc.identifier.endpage250
dc.identifier.isbn9781774912652
dc.identifier.isbn9781000852172
dc.identifier.scopus2-s2.0-85174128045
dc.identifier.scopusqualityN/A
dc.identifier.startpage215
dc.identifier.urihttps://hdl.handle.net/20.500.14854/15030
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherApple Academic Press
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20251020
dc.subjectanticancer
dc.subjectcancer
dc.subjectcomputational biology
dc.subjectcomputer-aided drug design
dc.subjectplant secondary metabolites
dc.titleComputational Approaches Used in Anticancer Plants
dc.typeBook Chapter

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