AI/ML Approaches in Drug Design

dc.contributor.authorKırboğa, Kevser Kübra
dc.date.accessioned2025-05-20T18:47:18Z
dc.date.issued2025
dc.departmentBilecik Şeyh Edebali Üniversitesi
dc.description.abstractArtificial intelligence (AI) and machine learning (ML) are essential in drug design. AI and ML offer data-based and computer-aided methods for discovering, designing, optimizing, and evaluating drug candidates. Chapter 10 demystifies the complex world of drug design and examines innovative approaches in this field. Various topics are covered, from traditional drug design methodologies to the rise of computational techniques to AI and ML’s critical role in modern drug design. This chapter discusses in detail about ML, neural networks, natural language processing, peptide synthesis, molecular design, and virtual screening. Strategies like quantitative structure-activity relationship models and drug repositioning were also examined, and it was stated the kind of difficulties and failures drug development processes may encounter. Ethical issues and guiding principles for the future help complete this multidisciplinary landscape. © 2025 by John Wiley & Sons, Inc. All rights reserved.
dc.identifier.doi10.1002/9781394249190.ch11
dc.identifier.endpage253
dc.identifier.isbn978-139424919-0
dc.identifier.isbn978-139424916-9
dc.identifier.scopus2-s2.0-85214598281
dc.identifier.scopusqualityN/A
dc.identifier.startpage237
dc.identifier.urihttps://doi.org/10.1002/9781394249190.ch11
dc.identifier.urihttps://hdl.handle.net/11552/6267
dc.indekslendigikaynakScopus
dc.institutionauthorKırboğa, Kevser Kübra
dc.language.isoen
dc.publisherwiley
dc.relation.ispartofComputational Methods for Rational Drug Design
dc.relation.publicationcategoryKitap Bölümü - Uluslararası
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_Scopus_20250518
dc.subjectartificial intelligence
dc.subjectdeep learning
dc.subjectdrug design
dc.subjectmachine learning
dc.subjectneural networks
dc.titleAI/ML Approaches in Drug Design
dc.typeBook Part

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