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. Goeller, 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
Tania Cova, Carla Vitorino, Marcio 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
Rene Rex
19. Deep Learning in Therapeutic Antibody Development
Jeremy M. Shaver, Joshua Smith, and Tileli Amimeur
20. Machine Learning for In Silico ADMET Prediction
Lei Jia and Hua Gao
21. Opportunities and Considerations in the Application of Artificial Intelligence to Pharmacokinetic Prediction
Matthew R. Wright
22. Artificial Intelligence in Drug Safety and Metabolism
Graham F. Smith
23. Molecule Ideation Using Matched Molecular Pairs
Sandeep Pal, Peter Pogany, and James Andrew Lumley