Drug Design Using Machine Learning

Bibliographic Details
Title:	Drug Design Using Machine Learning
Description:	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.
Authors:	Inamuddin, Tariq Altalhi, Jorddy Neves Cruz, Moamen Salah El-Deen Refat
Resource Type:	eBook.
Subjects:	Machine learning, Drug development--Data processing, Artificial intelligence--Medical applications
Categories:	MEDICAL / Pharmacology
Database:	eBook Index

FullText	Text: Availability: 0
Header	DbId: edsebk DbLabel: eBook Index An: 3399161 RelevancyScore: 962 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 962.24267578125
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Items	– Name: Title Label: Title Group: Ti Data: Drug Design Using Machine Learning – Name: Abstract Label: Description Group: Ab Data: 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Inamuddin%22">Inamuddin</searchLink><br /><searchLink fieldCode="AR" term="%22Tariq+Altalhi%22">Tariq Altalhi</searchLink><br /><searchLink fieldCode="AR" term="%22Jorddy+Neves+Cruz%22">Jorddy Neves Cruz</searchLink><br /><searchLink fieldCode="AR" term="%22Moamen+Salah+El-Deen+Refat%22">Moamen Salah El-Deen Refat</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Drug+development--Data+processing%22">Drug development--Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence--Medical+applications%22">Artificial intelligence--Medical applications</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22MEDICAL+%2F+Pharmacology%22">MEDICAL / Pharmacology</searchLink>
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RecordInfo	BibRecord: BibEntity: Classifications: – Code: 615.19 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Machine learning Type: general – SubjectFull: Drug development--Data processing Type: general – SubjectFull: Artificial intelligence--Medical applications Type: general Titles: – TitleFull: Drug Design Using Machine Learning Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Inamuddin – PersonEntity: Name: NameFull: Tariq Altalhi – PersonEntity: Name: NameFull: Jorddy Neves Cruz – PersonEntity: Name: NameFull: Moamen Salah El-Deen Refat – PersonEntity: Name: NameFull: Inamuddin – PersonEntity: Name: NameFull: Tariq Altalhi – PersonEntity: Name: NameFull: Jorddy Neves Cruz – PersonEntity: Name: NameFull: Moamen Salah El-Deen Refat IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2022 – D: 13 M: 08 Type: profile Y: 2024 Identifiers: – Type: isbn-print Value: 9781394166282 – Type: isbn-electronic Value: 9781394167241 – Type: isbn-electronic Value: 9781394167234 Titles: – TitleFull: Drug Design Using Machine Learning Type: main
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