Ramaswamy vijayan (26 risultati)
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EUR 250,10
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EUR 204,55
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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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EUR 245,61
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Da: moluna, Greven, Germaniamoluna
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EUR 207,70
EUR 48,99 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Condizione: New. Vasanthanathan Poongavanam is a senior researcher in the Department of Chemistry-BMC, Uppsala University, Sweden. Before starting at Uppsala University in a researcher position with Jan Kihlberg in 2016, he was a postdoctoral fellow at the University of Vie.
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Da: Chiron Media, Wallingford, Regno UnitoChiron Media
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EUR 248,30
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Hardcover. Condizione: New.
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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EUR 257,13
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Condizione: New. In.
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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EUR 260,84
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Condizione: new.
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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EUR 290,19
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Condizione: New.
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Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 301,04
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Hardcover. Condizione: new. Hardcover. Computational Drug Discovery A comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug discovery Computational Drug Discovery: Methods and Applications (2 volume set) covers a wide range of cutting-edge computational technologie…s and computational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery. Furthermore, dedicated chapters that addresses the recent trends in the field of computer aided drug design, including ultra-large-scale virtual screening for hit identification, computational strategies for designing new therapeutic modalities like PROTACs and covalent inhibitors that target residues beyond cysteine are also presented. To offer the most up-to-date information on computational methods utilized in Computational Drug Discovery, it covers chapters highlighting the use of molecular dynamics and other related methods, application of QM and QM/MM methods in computational drug design, and techniques for navigating and visualizing the chemical space, as well as leveraging big data to drive drug discovery efforts. The book is thoughtfully organized into eight thematic sections, each focusing on a specific computational method or technology applied to drug discovery. Authored by renowned experts from academia, pharmaceutical industry, and major drug discovery software providers, it offers an overview of the latest advances in computational drug discovery. Key topics covered in the book include: Application of molecular dynamics simulations and related approaches in drug discoveryThe application of QM, hybrid approaches such as QM/MM, and fragment molecular orbital framework for understanding protein-ligand interactionsAdoption of artificial intelligence in pre-clinical drug discovery, encompassing protein structure prediction, generative modeling for de novo design, and virtual screening.Techniques for navigating and visualizing the chemical space, along with harnessing big data to drive drug discovery efforts.Methods for performing ultra-large-scale virtual screening for hit identification.Computational strategies for designing new therapeutic models, including PROTACs and molecular glues.In silico ADMET approaches for predicting a variety of pharmacokinetic and physicochemical endpoints.The role of computing technologies like quantum computing and cloud computing in accelerating drug discovery This book will provide readers an overview of the latest advancements in Computational Drug Discovery and serve as a valuable resource for professionals engaged in drug discovery. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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- Prima edizione
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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EUR 284,88
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Condizione: New. 2024. 1st Edition. hardcover. . . . . .
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Da: Rarewaves.com USA, London, LONDO, Regno UnitoRarewaves.com USA
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EUR 322,03
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Hardback. Condizione: New. Computational Drug Discovery A comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug discovery Computational Drug Discovery: Methods and Applications (2 volume set) covers a wide range of cutting-edge computational technologies and comput…ational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery. Furthermore, dedicated chapters that addresses the recent trends in the field of computer aided drug design, including ultra-large-scale virtual screening for hit identification, computational strategies for designing new therapeutic modalities like PROTACs and covalent inhibitors that target residues beyond cysteine are also presented. To offer the most up-to-date information on computational methods utilized in Computational Drug Discovery, it covers chapters highlighting the use of molecular dynamics and other related methods, application of QM and QM/MM methods in computational drug design, and techniques for navigating and visualizing the chemical space, as well as leveraging big data to drive drug discovery efforts. The book is thoughtfully organized into eight thematic sections, each focusing on a specific computational method or technology applied to drug discovery. Authored by renowned experts from academia, pharmaceutical industry, and major drug discovery software providers, it offers an overview of the latest advances in computational drug discovery. Key topics covered in the book include: Application of molecular dynamics simulations and related approaches in drug discoveryThe application of QM, hybrid approaches such as QM/MM, and fragment molecular orbital framework for understanding protein-ligand interactionsAdoption of artificial intelligence in pre-clinical drug discovery, encompassing protein structure prediction, generative modeling for de novo design, and virtual screening.Techniques for navigating and visualizing the chemical space, along with harnessing big data to drive drug discovery efforts.Methods for performing ultra-large-scale virtual screening for hit identification.Computational strategies for designing new therapeutic models, including PROTACs and molecular glues.In silico ADMET approaches for predicting a variety of pharmacokinetic and physicochemical endpoints.The role of computing technologies like quantum computing and cloud computing in accelerating drug discovery This book will provide readers an overview of the latest advancements in Computational Drug Discovery and serve as a valuable resource for professionals engaged in drug discovery.
Computational Drug Discovery, 2 Volumes: Methods and Applications
Poongavanam, Vasanthanathan (Editor)/ Ramaswamy, Vijayan (Editor)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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EUR 312,35
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Hardcover. Condizione: Brand New. pck edition. 704 pages. 9.86x6.69x0.85 inches. In Stock.
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Da: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, GermaniaRheinberg-Buch Andreas Meier eK
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EUR 319,00
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Buch. Condizione: Neu. Neuware -Provide readers with an overview of modern technologies, emphasizing AI for drug discovery. 736 pp. Englisch.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 319,00
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Buch. Condizione: Neu. Neuware -Provide readers with an overview of modern technologies, emphasizing AI for drug discovery. 736 pp. Englisch.
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Da: Wegmann1855, Zwiesel, GermaniaWegmann1855
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EUR 319,00
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Buch. Condizione: Neu. Neuware -Computational Drug Discovery A comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug discovery Computational Drug Discovery: Methods and Applications (2 volume set) covers a wide range of cutting-edge computational technologies and c…omputational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery. Furthermore, dedicated chapters that addresses the recent trends in the field of computer aided drug design, including ultra-large-scale virtual screening for hit identification, computational strategies for designing new therapeutic modalities like PROTACs and covalent inhibitors that target residues beyond cysteine are also presented. To offer the most up-to-date information on computational methods utilized in Computational Drug Discovery, it covers chapters highlighting the use of molecular dynamics and other related methods, application of QM and QM/MM methods in computational drug design, and techniques for navigating and visualizing the chemical space, as well as leveraging big data to drive drug discovery efforts. The book is thoughtfully organized into eight thematic sections, each focusing on a specific computational method or technology applied to drug discovery. Authored by renowned experts from academia, pharmaceutical industry, and major drug discovery software providers, it offers an overview of the latest advances in computational drug discovery. Key topics covered in the book include: - Application of molecular dynamics simulations and related approaches in drug discovery - The application of QM, hybrid approaches such as QM/MM, and fragment molecular orbital framework for understanding protein-ligand interactions - Adoption of artificial intelligence in pre-clinical drug discovery, encompassing protein structure prediction, generative modeling for de novo design, and virtual screening. - Techniques for navigating and visualizing the chemical space, along with harnessing big data to drive drug discovery efforts. - Methods for performing ultra-large-scale virtual screening for hit identification. - Computational strategies for designing new therapeutic models, including PROTACs and molecular glues. - In silico ADMET approaches for predicting a variety of pharmacokinetic and physicochemical endpoints. - The role of computing technologies like quantum computing and cloud computing in accelerating drug discovery This book will provide readers an overview of the latest advancements in Computational Drug Discovery and serve as a valuable resource for professionals engaged in drug discovery.
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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 330,68
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Condizione: New.
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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EUR 364,78
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Condizione: New. 2024. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 305,64
EUR 75,31 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 2 disponibili
Hardback. Condizione: New. Computational Drug Discovery A comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug discovery Computational Drug Discovery: Methods and Applications (2 volume set) covers a wide range of cutting-edge computational technologies and comput…ational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery. Furthermore, dedicated chapters that addresses the recent trends in the field of computer aided drug design, including ultra-large-scale virtual screening for hit identification, computational strategies for designing new therapeutic modalities like PROTACs and covalent inhibitors that target residues beyond cysteine are also presented. To offer the most up-to-date information on computational methods utilized in Computational Drug Discovery, it covers chapters highlighting the use of molecular dynamics and other related methods, application of QM and QM/MM methods in computational drug design, and techniques for navigating and visualizing the chemical space, as well as leveraging big data to drive drug discovery efforts. The book is thoughtfully organized into eight thematic sections, each focusing on a specific computational method or technology applied to drug discovery. Authored by renowned experts from academia, pharmaceutical industry, and major drug discovery software providers, it offers an overview of the latest advances in computational drug discovery. Key topics covered in the book include: Application of molecular dynamics simulations and related approaches in drug discoveryThe application of QM, hybrid approaches such as QM/MM, and fragment molecular orbital framework for understanding protein-ligand interactionsAdoption of artificial intelligence in pre-clinical drug discovery, encompassing protein structure prediction, generative modeling for de novo design, and virtual screening.Techniques for navigating and visualizing the chemical space, along with harnessing big data to drive drug discovery efforts.Methods for performing ultra-large-scale virtual screening for hit identification.Computational strategies for designing new therapeutic models, including PROTACs and molecular glues.In silico ADMET approaches for predicting a variety of pharmacokinetic and physicochemical endpoints.The role of computing technologies like quantum computing and cloud computing in accelerating drug discovery This book will provide readers an overview of the latest advancements in Computational Drug Discovery and serve as a valuable resource for professionals engaged in drug discovery.
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 319,00
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Buch. Condizione: Neu. Neuware -Computational Drug DiscoveryWiley-VCH GmbH, Boschstraße 12, 69469 Weinheim 736 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 322,83
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Buch. Condizione: Neu. Neuware - Provide readers with an overview of modern technologies, emphasizing AI for drug discovery.
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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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EUR 431,00
EUR 32,48 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Hardcover. Condizione: new. Hardcover. Computational Drug Discovery A comprehensive resource that explains a wide array of computational technologies and methods driving innovation in drug discovery Computational Drug Discovery: Methods and Applications (2 volume set) covers a wide range of cutting-edge computational technologie…s and computational chemistry methods that are transforming drug discovery. The book delves into recent advances, particularly focusing on artificial intelligence (AI) and its application for protein structure prediction, AI-enabled virtual screening, and generative modeling for compound design. Additionally, it covers key technological advancements in computing such as quantum and cloud computing that are driving innovations in drug discovery. Furthermore, dedicated chapters that addresses the recent trends in the field of computer aided drug design, including ultra-large-scale virtual screening for hit identification, computational strategies for designing new therapeutic modalities like PROTACs and covalent inhibitors that target residues beyond cysteine are also presented. To offer the most up-to-date information on computational methods utilized in Computational Drug Discovery, it covers chapters highlighting the use of molecular dynamics and other related methods, application of QM and QM/MM methods in computational drug design, and techniques for navigating and visualizing the chemical space, as well as leveraging big data to drive drug discovery efforts. The book is thoughtfully organized into eight thematic sections, each focusing on a specific computational method or technology applied to drug discovery. Authored by renowned experts from academia, pharmaceutical industry, and major drug discovery software providers, it offers an overview of the latest advances in computational drug discovery. Key topics covered in the book include: Application of molecular dynamics simulations and related approaches in drug discoveryThe application of QM, hybrid approaches such as QM/MM, and fragment molecular orbital framework for understanding protein-ligand interactionsAdoption of artificial intelligence in pre-clinical drug discovery, encompassing protein structure prediction, generative modeling for de novo design, and virtual screening.Techniques for navigating and visualizing the chemical space, along with harnessing big data to drive drug discovery efforts.Methods for performing ultra-large-scale virtual screening for hit identification.Computational strategies for designing new therapeutic models, including PROTACs and molecular glues.In silico ADMET approaches for predicting a variety of pharmacokinetic and physicochemical endpoints.The role of computing technologies like quantum computing and cloud computing in accelerating drug discovery This book will provide readers an overview of the latest advancements in Computational Drug Discovery and serve as a valuable resource for professionals engaged in drug discovery. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Da: Books-by-Floh, Paderborn, GermaniaBooks-by-Floh
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EUR 393,65
EUR 105,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Buch. Condizione: Neu. Neuware -Computational Drug Discovery 736 pp. Englisch.
