Drug Design using Machine Learning (eBook)

eBook Download: PDF
2022 | 1. Auflage
384 Seiten
John Wiley & Sons (Verlag)
978-1-394-16724-1 (ISBN)

Lese- und Medienproben

Drug Design using Machine Learning -
Systemvoraussetzungen
178,99 inkl. MwSt
  • Download sofort lieferbar
  • Zahlungsarten anzeigen
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.

Inamuddin, PhD, is an assistant professor at King Abdulaziz University, Jeddah, Saudi Arabia, and is also an assistant professor in the Department of Applied Chemistry, Aligarh Muslim University, Aligarh, India. He has extensive research experience in multidisciplinary fields of analytical chemistry, materials chemistry, electrochemistry, renewable energy, and environmental science. He has published about 190 research articles in various international scientific journals, 18 book chapters, and edited 60 books. Tariq Altalhi is Head of the Department of Chemistry and Vice Dean of Science College at Taif University, Saudi Arabia. He received his PhD from the University of Adelaide, Australia in 2014. His research interests include developing advanced chemistry-based solutions for solid and liquid municipal waste management, converting plastic bags to carbon nanotubes, and fly ash to efficient adsorbent material. Jorddy Neves Cruz is a researcher at the Federal University of Pará and the Emilio Goeldi Museum, Brazil. He has experience in multidisciplinary research in the areas of medicinal chemistry, drug design, extraction of bioactive compounds, extraction of essential oils, food chemistry, and biological testing. Moamen Salah El-Deen Refat is a professor of Inorganic Chemistry at the Department of Chemistry Science at Taif University, Saudi Arabia. He has received multiple prizes such as the Distinguished Researcher Award, Taif University from 2009-2021, Gold Medal Telesio-Galilei Academy of Science for pioneering work in chemistry in 2013, and the Arab Prize in Chemistry for Young Arab Researchers in 2010.

Erscheint lt. Verlag 28.9.2022
Sprache englisch
Themenwelt Naturwissenschaften Chemie
Schlagworte Artificial Intelligence • Chemie • Chemistry • Computer Science • Drug Discovery & Development • Informatik • Künstliche Intelligenz • Medical Science • Medizin • Pharmacology & Pharmaceutical Medicine • Pharmakologie • Pharmakologie u. Pharmazeutische Medizin • Wirkstoffforschung • Wirkstoffforschung u. -entwicklung
ISBN-10 1-394-16724-5 / 1394167245
ISBN-13 978-1-394-16724-1 / 9781394167241
Haben Sie eine Frage zum Produkt?
PDFPDF (Adobe DRM)
Größe: 17,2 MB

Kopierschutz: Adobe-DRM
Adobe-DRM ist ein Kopierschutz, der das eBook vor Mißbrauch schützen soll. Dabei wird das eBook bereits beim Download auf Ihre persönliche Adobe-ID autorisiert. Lesen können Sie das eBook dann nur auf den Geräten, welche ebenfalls auf Ihre Adobe-ID registriert sind.
Details zum Adobe-DRM

Dateiformat: PDF (Portable Document Format)
Mit einem festen Seiten­layout eignet sich die PDF besonders für Fach­bücher mit Spalten, Tabellen und Abbild­ungen. Eine PDF kann auf fast allen Geräten ange­zeigt werden, ist aber für kleine Displays (Smart­phone, eReader) nur einge­schränkt geeignet.

Systemvoraussetzungen:
PC/Mac: Mit einem PC oder Mac können Sie dieses eBook lesen. Sie benötigen eine Adobe-ID und die Software Adobe Digital Editions (kostenlos). Von der Benutzung der OverDrive Media Console raten wir Ihnen ab. Erfahrungsgemäß treten hier gehäuft Probleme mit dem Adobe DRM auf.
eReader: Dieses eBook kann mit (fast) allen eBook-Readern gelesen werden. Mit dem amazon-Kindle ist es aber nicht kompatibel.
Smartphone/Tablet: Egal ob Apple oder Android, dieses eBook können Sie lesen. Sie benötigen eine Adobe-ID sowie eine kostenlose App.
Geräteliste und zusätzliche Hinweise

Buying eBooks from abroad
For tax law reasons we can sell eBooks just within Germany and Switzerland. Regrettably we cannot fulfill eBook-orders from other countries.

Mehr entdecken
aus dem Bereich
Eigenschaften, Verarbeitung, Konstruktion

von Erwin Baur; Dietmar Drummer; Tim A. Osswald; Natalie Rudolph

eBook Download (2022)
Carl Hanser Verlag GmbH & Co. KG
69,99