
Artificial Intelligence in Drug Discovery by Nathan Brown
Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.-
Functional Protein Microarrays in Drug Discovery
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ProteinProtein Interaction Regulators
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Orphan Drugs and Rare Diseases
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Metabolism, Pharmacokinetics and Toxicity of Functional Groups
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Neglected Diseases and Drug Discovery
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Chemical Linkers in AntibodyDrug Conjugates (ADCs)
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Cytotoxic Payloads for AntibodyDrug Conjugates
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Peptide-based Drug Discovery
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Epigenetics for Drug Discovery
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Peptide Therapeutics
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Emerging Drugs and Targets for Multiple Sclerosis
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Antiviral Discovery for Highly Pathogenic Emerging Viruses
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Organic Chemistry of Drug Degradation
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Machine Learning and Deep Learning in Drug Design
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Extracellular and Intracellular Signaling
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Synthetic Methods in Drug Discovery
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Drug Repurposing
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Drug Discovery for Psychiatric Disorders
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Allosterism in Drug Discovery
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Anti-fibrotic Drug Discovery
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Advances in Nucleic Acid Therapeutics
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Drug Discovery for Leishmaniasis
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MicroRNAs in Diseases and Disorders
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Proteinases as Drug Targets
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Polyamine Drug Discovery
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Therapies for Retinal Degeneration
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Accounts in Drug Discovery
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Kinase Drug Discovery
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Drug Transporters
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Biophysical Techniques in Drug Discovery
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New Horizons in Predictive Toxicology
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Drug Discovery from Natural Products
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Traditional Chinese Medicine
Brown, Nathan: - Nathan Brown is an author, songwriter, and award-winning poet living in Wimberley, Texas. He holds a PhD in English and Journalism from the University of Oklahoma where he taught for seventeen years. He served as Poet Laureate for the State of Oklahoma in 2013/14, and now travels fulltime performing readings, concerts, workshops and speaking on creativity, poetry, and songwriting. Nathan has published roughly twenty books. Most recent are 100 Years and An Honest Day's Confession. Karma Crisis: New and Selected Poems, was a finalist for the Paterson Poetry Prize and the Oklahoma Book Award. His earlier book, Two Tables Over, won the 2009 Oklahoma Book Award. He's taught memoir, poetry, songwriting, and performance workshops from Tuscany and Ireland to the Sisters Folk Festival in Oregon, the Taos Poetry Festival, the Woody Guthrie Festival, Laity Lodge, the Everwood Farmstead Foundation in Wisconsin, as well as for Blue Rock Artist Ranch near Austin, Texas. Naomi Shihab Nye said about Nathan's book, My Salvaged Heart: Brave new world! The sizzle of couplings and uncouplings - attraction and romance, ineffable magnetism, mysterious as ever - but doused with a savory dose of Nathan Brown humor, a tilted long-ranging eye that sees the next bend in the road even when he's standing right here, firmly planted.
| SKU | Unavailable |
| ISBN 13 | 9781788015479 |
| ISBN 10 | 1788015479 |
| Title | Artificial Intelligence in Drug Discovery |
| Author | Nathan Brown |
| Series | Drug Discovery Series |
| Condition | Unavailable |
| Binding Type | Hardback |
| Publisher | Royal Society of Chemistry |
| Year published | 2020-11-12 |
| Number of pages | 424 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |
































