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Beschreibung
Computational Approaches in Drug Discovery, Development and Systems Pharmacology provides detailed information on the use of computers in advancing pharmacology. Drug discovery and development is an expensive and time-consuming practice, and computer-assisted drug design (CADD) approaches are increasing in popularity in the pharmaceutical industry to accelerate the process. With the help of CADD, scientists can focus on the most capable compounds so that they can minimize the synthetic and biological testing pains. This book examines success stories of CADD in drug discovery, drug development and role of CADD in system pharmacology, additionally including a focus on the role of artificial intelligence (AI) and deep machine learning in pharmacology. Computational Approaches in Drug Discovery, Development and Systems Pharmacology will be useful to researchers and academics working in the area of CADD, pharmacology and Bioinformatics.
Computational Approaches in Drug Discovery, Development and Systems Pharmacology provides detailed information on the use of computers in advancing pharmacology. Drug discovery and development is an expensive and time-consuming practice, and computer-assisted drug design (CADD) approaches are increasing in popularity in the pharmaceutical industry to accelerate the process. With the help of CADD, scientists can focus on the most capable compounds so that they can minimize the synthetic and biological testing pains. This book examines success stories of CADD in drug discovery, drug development and role of CADD in system pharmacology, additionally including a focus on the role of artificial intelligence (AI) and deep machine learning in pharmacology. Computational Approaches in Drug Discovery, Development and Systems Pharmacology will be useful to researchers and academics working in the area of CADD, pharmacology and Bioinformatics.
Inhaltsverzeichnis
1. In sillico pharmacology
2. Computer aided drug design and drug discovery
3. Alternative biological screening methods
4. AI and deep machine learning in pharmacology
5. Pharmacophore modelling
6. Target identification and validation
7. New drug discovery pipeline
8. Virtual screening
Details
Erscheinungsjahr: 2023
Fachbereich: Toxikologie
Genre: Importe, Medizin
Rubrik: Wissenschaften
Medium: Taschenbuch
Inhalt: Kartoniert / Broschiert
ISBN-13: 9780323991377
ISBN-10: 0323991378
Sprache: Englisch
Einband: Kartoniert / Broschiert
Redaktion: Amjad Kamal, Mohammad
Mittal, Pooja
Gautam, Rupesh Kumar
Hersteller: Elsevier Science & Technology
Verantwortliche Person für die EU: Zeitfracht Medien GmbH, Ferdinand-Jühlke-Str. 7, D-99095 Erfurt, produktsicherheit@zeitfracht.de
Maße: 152 x 228 x 23 mm
Von/Mit: Mohammad Amjad Kamal (u. a.)
Erscheinungsdatum: 26.01.2023
Gewicht: 0,598 kg
Artikel-ID: 122052491

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