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{ "item_title" : "Artificial Intelligence in Drug Design", "item_author" : [" Alexander Heifetz "], "item_description" : "1. Applications of Artificial Intelligence in Drug Design: Opportunities and ChallengesMorgan Thomas, Andrew Boardman, Miguel Garcia-Ortegon, Hongbin Yang, Chris de Graaf, and Andreas Bender2. Machine Learning Applied to the Modeling of Pharmacological and ADMET EndpointsAndreas H. G ller, Lara Kuhnke, Antonius ter Laak, Katharina Meier, and Alexander Hillisch3. Fighting COVID-19 with Artificial IntelligenceStefania Monteleone, Tahsin F. Kellici, Michelle Southey, Michael J. Bodkin, and Alexander Heifetz4. Application of Artificial Intelligence and Machine Learning in Drug DiscoveryRishi R. Gupta5. Deep Learning and Computational ChemistryTim James and Dimitar Hristozov6. Has Drug Design Augmented by Artificial Intelligence Become a Reality?Atanas Patronov, Kostas Papadopoulos, and Ola Engkvist7. Network Driven Drug DiscoveryJonny Wray and Alan Whitmore8. Predicting Residence Time of GPCR Ligands with Machine LearningAndrew Potterton, Alexander Heifetz, and Andrea Townsend-Nicholson9. De Novo Molecular Design with Chemical Language ModelsFrancesca Grisoni and Gisbert Schneider10. Deep Neural Networks for QSARYuting Xu11. Deep Learning in Structure-Based Drug DesignAndrew Anighoro12. Deep Learning Applied to Ligand-Based De Novo Drug DesignFerruccio Palazzesi and Alfonso Pozzan13. Ultra-High Throughput Protein-Ligand Docking with Deep LearningAustin Clyde14. Artificial Intelligence and Quantum Computing as the Next Pharma DisruptorsT nia Cova, Carla Vitorino, M rcio Ferreira, Sandra Nunes, Paola Rondon-Villarreal, and Alberto Pais15. Artificial Intelligence in Compound DesignChristoph Grebner, Hans Matter, and Gerhard Hessler16. Artificial Intelligence, Machine Learning, and Deep Learning in Real Life Drug Design CasesChristophe Muller, Obdulia Rabal Gracia, and Constantino Diaz Gonzalez17. Artificial Intelligence-Enabled De Novo Design of Novel Compounds that are SynthesizableGovinda Bhisetti and Cheng Fang18. Machine Learning from Omics DataRen Rex19. Deep Learning in Therapeutic Antibody Development", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/1/07/161/789/1071617893_b.jpg", "price_data" : { "retail_price" : "199.99", "online_price" : "199.99", "our_price" : "199.99", "club_price" : "199.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Artificial Intelligence in Drug Design|Alexander Heifetz

Artificial Intelligence in Drug Design

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Overview

1. Applications of Artificial Intelligence in Drug Design: Opportunities and Challenges

Morgan Thomas, Andrew Boardman, Miguel Garcia-Ortegon, Hongbin Yang, Chris de Graaf, and Andreas Bender

2. Machine Learning Applied to the Modeling of Pharmacological and ADMET Endpoints

Andreas H. G ller, Lara Kuhnke, Antonius ter Laak, Katharina Meier, and Alexander Hillisch

3. Fighting COVID-19 with Artificial Intelligence

Stefania Monteleone, Tahsin F. Kellici, Michelle Southey, Michael J. Bodkin, and Alexander Heifetz

4. Application of Artificial Intelligence and Machine Learning in Drug Discovery

Rishi R. Gupta

5. Deep Learning and Computational Chemistry

Tim James and Dimitar Hristozov

6. Has Drug Design Augmented by Artificial Intelligence Become a Reality?

Atanas Patronov, Kostas Papadopoulos, and Ola Engkvist

7. Network Driven Drug Discovery

Jonny Wray and Alan Whitmore

8. Predicting Residence Time of GPCR Ligands with Machine Learning

Andrew Potterton, Alexander Heifetz, and Andrea Townsend-Nicholson

9. De Novo Molecular Design with Chemical Language Models

Francesca Grisoni and Gisbert Schneider

10. Deep Neural Networks for QSAR

Yuting Xu

11. Deep Learning in Structure-Based Drug Design

Andrew Anighoro

12. Deep Learning Applied to Ligand-Based De Novo Drug Design

Ferruccio Palazzesi and Alfonso Pozzan

13. Ultra-High Throughput Protein-Ligand Docking with Deep Learning

Austin Clyde

14. Artificial Intelligence and Quantum Computing as the Next Pharma Disruptors

T nia Cova, Carla Vitorino, M rcio Ferreira, Sandra Nunes, Paola Rondon-Villarreal, and Alberto Pais

15. Artificial Intelligence in Compound Design

Christoph Grebner, Hans Matter, and Gerhard Hessler

16. Artificial Intelligence, Machine Learning, and Deep Learning in Real Life Drug Design Cases

Christophe Muller, Obdulia Rabal Gracia, and Constantino Diaz Gonzalez

17. Artificial Intelligence-Enabled De Novo Design of Novel Compounds that are Synthesizable

Govinda Bhisetti and Cheng Fang

18. Machine Learning from Omics Data

Ren Rex

19. Deep Learning in Therapeutic Antibody Development

This item is Non-Returnable

Details

  • ISBN-13: 9781071617892
  • ISBN-10: 1071617893
  • Publisher: Humana
  • Publish Date: November 2022
  • Dimensions: 10 x 7 x 1.1 inches
  • Shipping Weight: 2.05 pounds
  • Page Count: 529

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