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[null,"1.","Record Nr.",null,"UNINA9911019277203321"]
[null,null,"Autore",null,"Rudrapal Mithun"]
[null,null,"Titolo",null,"Computational Methods for Rational Drug Design"]
[null,null,"Pubbl/distr/stampa",null,"Newark : , : John Wiley & Sons, Incorporated, , 2024"]
[{"$nulls":4},"©2025"]
[null,null,"ISBN",null,"9781394249176"]
[{"$nulls":4},"1394249179"]
[{"$nulls":4},"9781394249183"]
[{"$nulls":4},"1394249187"]
[{"$nulls":4},"9781394249190"]
[{"$nulls":4},"1394249195"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (577 pages)"]
[null,null,"Disciplina",null,"615.19"]
[null,null,"Soggetti",null,"Drug Design"]
[{"$nulls":4},"Models, Molecular"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Molecular modeling and drug design -- Bioactive small molecules and drug discovery -- Novel drug targets for small molecule-based drug discovery -- Computer-assisted methods and tools for structure- and ligand-based drug design -- Virtual screening and lead discovery -- ADMET and physicochemical assessments in drug design -- In silico modelling and drug design -- Pharmacophore modelling in drug design -- Scaffold hopping and de novo drug design -- Fragment-based drug design and drug discovery -- AI/ML approaches in drug design -- Network-based methods in drug discovery -- Rational design of natural products for drug discovery -- Rational design of enzyme inhibitors and drug discovery -- Rational design of peptides and protein molecules in drug discovery -- Rational design of drugs for neurodegenerative disorders -- Rational design of anti-inflammatory therapeutics -- Rational design of antibacterials for multi-drug resistant infections -- Rational design of antiviral therapeutics -- Rational design of anticancer therapeutics -- Protac and Protide strategies in drug design -- Advancing Lung Cancer Treatment Through ALK Receptor-Targeted Drug Metabolism and Pharmacokinetics -- Targeting Intrinsically Disordered Proteins (IDPs) "]
[{"$nulls":4},"in Drug Discovery : Opportunities and Challenges."]
[null,null,null,"Sommario/riassunto","Comprehensive resource covering computational tools and techniques for the development of cost-effective drugs to combat diseases, with specific disease examples   Computational Methods for Rational Drug Design covers the tools and techniques of drug design with applications to the discovery of small molecule-based therapeutics, detailing methodologies and practical applications and addressing the challenges of techniques like AI/ML and drug design for unknown receptor structures. Divided into 23 chapters, the contributors address various cutting-edge areas of therapeutic importance such as neurodegenerative disorders, cancer, multi-drug resistant bacterial infections, inflammatory diseases, and viral infections.   Edited by a highly qualified academic with significant research contributions to the field, Computational Methods for Rational Drug Design explores topics including:    * Computer-assisted methods and tools for structure- and ligand-based drug design, virtual screening and lead discovery, and ADMET and physicochemical assessments  * In silico and pharmacophore modeling, fragment-based design, de novo drug design and scaffold hopping, network-based methods and drug discovery  * Rational design of natural products, peptides, enzyme inhibitors, drugs for neurodegenerative disorders, anti-inflammatory therapeutics, antibacterials for multi-drug resistant infections, and antiviral and anticancer therapeutics  * Protac and protide strategies in drug design, intrinsically disordered proteins (IDPs) in drug discovery and lung cancer treatment through ALK receptor-targeted drug metabolism and pharmacokinetics  Helping readers seamlessly navigate the challenges of drug design, Computational Methods for Rational Drug Design is an essential reference for pharmaceutical and medicinal chemists, biochemists, pharmacologists, and phytochemists, along with molecular modeling and computational drug discovery professionals."]