eBook
Harnessing AI for Drug Discovery: Machine Learning Perspectives
| Τίτλος: | Harnessing AI for Drug Discovery: Machine Learning Perspectives |
|---|---|
| Περιγραφή: | Developing new drugs is one of modern biomedicine's most complex and multi-step tasks. This process requires synthesizing multidisciplinary knowledge, ranging from molecular biology and biochemistry to clinical pharmacology and bioinformatics. Today, in the context of increasing disease complexity and the emergence of new therapeutic targets, traditional drug discovery methods are complemented by advanced technologies such as high-throughput screening (HTS), machine learning, and molecular modelling.The main goal of this book is to provide readers with a deep understanding of all stages of the drug discovery process. We will consider the ways of identifying potential therapeutic targets and compounds, including methods of structural biology and rational drug design. Particular attention is paid to the process of optimizing lead compounds, which includes drug chemistry, toxicology, and pharmacokinetics, as well as adsorption, distribution, metabolism, and excretion (ADME) issues. |
| Συγγραφείς: | Kolla Bhanu Prakash |
| Resource Type: | eBook. |
| Θέματα: | Artificial intelligence--Medical applications, Machine learning, Drug development--Data processing, Drugs--Design--Data processing |
| Categories: | SCIENCE / Bioinformatics |
| Βάση Δεδομένων: | eBook Index |
| FullText | Text: Availability: 0 |
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| Header | DbId: edsebk DbLabel: eBook Index An: 4236671 RelevancyScore: 981 AccessLevel: 6 PubType: eBook PubTypeId: ebook PreciseRelevancyScore: 981.043701171875 |
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| Items | – Name: Title Label: Title Group: Ti Data: Harnessing AI for Drug Discovery: Machine Learning Perspectives – Name: Abstract Label: Description Group: Ab Data: Developing new drugs is one of modern biomedicine's most complex and multi-step tasks. This process requires synthesizing multidisciplinary knowledge, ranging from molecular biology and biochemistry to clinical pharmacology and bioinformatics. Today, in the context of increasing disease complexity and the emergence of new therapeutic targets, traditional drug discovery methods are complemented by advanced technologies such as high-throughput screening (HTS), machine learning, and molecular modelling.The main goal of this book is to provide readers with a deep understanding of all stages of the drug discovery process. We will consider the ways of identifying potential therapeutic targets and compounds, including methods of structural biology and rational drug design. Particular attention is paid to the process of optimizing lead compounds, which includes drug chemistry, toxicology, and pharmacokinetics, as well as adsorption, distribution, metabolism, and excretion (ADME) issues. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Kolla+Bhanu+Prakash%22">Kolla Bhanu Prakash</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Artificial+intelligence--Medical+applications%22">Artificial intelligence--Medical applications</searchLink><br /><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="%22Drugs--Design--Data+processing%22">Drugs--Design--Data processing</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22SCIENCE+%2F+Bioinformatics%22">SCIENCE / Bioinformatics</searchLink> |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsebk&AN=4236671 |
| RecordInfo | BibRecord: BibEntity: Classifications: – Code: 615.190028563 Scheme: ddc Type: prePub Languages: – Code: eng Text: English Subjects: – SubjectFull: Artificial intelligence--Medical applications Type: general – SubjectFull: Machine learning Type: general – SubjectFull: Drug development--Data processing Type: general – SubjectFull: Drugs--Design--Data processing Type: general Titles: – TitleFull: Harnessing AI for Drug Discovery: Machine Learning Perspectives Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Kolla Bhanu Prakash – PersonEntity: Name: NameFull: Kolla Bhanu Prakash IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Type: published Y: 2025 – D: 19 M: 08 Type: profile Y: 2025 Identifiers: – Type: isbn-print Value: 9798895305409 – Type: isbn-electronic Value: 9798895306642 Titles: – TitleFull: Harnessing AI for Drug Discovery: Machine Learning Perspectives Type: main |
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