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Herausgeber: 
  • Inamuddin
  • Tariq Altalhi
  • Jorddy Neves Cruz
  • Moamen Salah El-Deen Refat
  • Drug Design using Machine Learning 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Oktober 2022  
    Genre:  Naturwissensch., Medizin, Technik 
     
    active sites / adverse drug reactions (adr) / Artificial Intelligence / biodegradable / Chemie / chemistry / Chemoinformatics / computer science
    ISBN:  9781394166282 
    EAN-Code: 
    9781394166282 
    Verlag:  Wiley 
    Einband:  Gebunden  
    Sprache:  English  
    Dimensionen:  H 229 mm / B 152 mm / D 22 mm 
    Gewicht:  771 gr 
    Seiten:  384 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    DRUG DESIGN USING MACHINE LEARNING The use of machine learning algorithms in drug discovery has accelerated in recent years and this book provides an in-depth overview of the still-evolving field. The objective of this book is to bring together several chapters that function as an overview of the use of machine learning and artificial intelligence applied to drug development. The initial chapters discuss drug-target interactions through machine learning for improving drug delivery, healthcare, and medical systems. Further chapters also provide topics on drug repurposing through machine learning, drug designing, and ultimately discuss drug combinations prescribed for patients with multiple or complex ailments. This excellent overview * Provides a broad synopsis of machine learning and artificial intelligence applications to the advancement of drugs; * Details the use of molecular recognition for drug development through various mathematical models; * Highlights classical as well as machine learning-based approaches to study target-drug interactions in the field of drug discovery; * Explores computer-aided technics for prediction of drug effectiveness and toxicity. Audience The book will be useful for information technology professionals, pharmaceutical industry workers, engineers, university researchers, medical practitioners, and laboratory workers who have a keen interest in the area of machine learning and artificial intelligence approaches applied to drug advancements.

      



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