Ir para o conteúdo principal

Infelizmente, não oferecemos suporte total ao seu navegador. Se for possível, atualize para uma versão mais recente ou use o Mozilla Firefox, o Microsoft Edge, o Google Chrome ou o Safari 14 ou mais recente. Se não conseguir e precisar de suporte, envie seu feedback.

Gostaríamos de receber seu feedback sobre essa nova experiência.Diga-nos sua opinião

Elsevier
Publique conosco

AI in small molecule drug discovery

What medicinal and synthetic chemists need to know

Blue background of molecules and data

References

  1. Madura K.P. Jayatunga, Wen Xie, Ludwig Ruder, Ulrik Schulze, Christoph Meier, AI in small-molecule drug discovery: a coming wave?, Nature Reviews Drug Discovery, 2022. https://www.nature.com/articles/d41573-022-00025-1

  2. Olivier J. Wouters, Martin McKee, Jeroen Luyten, Research and Development Costs of New Drugs, JAMA, 2020. https://jamanetwork.com/journals/jama/article-abstract/2768973

  3. Marcela Vieira, Suerie Moon, Costs of Pharmaceutical R&D, Knowledge Portal on Innovation and Access to Medicines, Graduate Institute of Geneva, 2020. https://www.knowledgeportalia.org/costs-r-d

  4. Madura K.P. Jayatunga, Wen Xie, Ludwig Ruder, Ulrik Schulze, Christoph Meier, AI in small-molecule drug discovery: a coming wave?, Nature Reviews Drug Discovery, 2022. https://www.nature.com/articles/d41573-022-00025-1

  5. Alex Devereson, Erwin Idoux, Matej Macak, Navraj Nagra, and Erika Stanzl, AI in biopharma research: A time to focus and scale, McKinsey, 2022. https://www.mckinsey.com/industries/life-sciences/our-insights/ai-in-biopharma-research-a-time-to-focus-and-scale

  6. Andrea Volkamer, Sereina Riniker, Eva Nittinger, Jessica Lanini, Francesca Grisoni, Emma Evertsson, Raquel Rodríguez-Pérez, Nadine Schneider, Machine learning for small molecule drug discovery in academia and industry, Artificial Intelligence in the Life Sciences, Volume 3, 2023. https://www.sciencedirect.com/science/article/pii/S2667318522000265

  7. Bin Huang, Lupeng Kong, Chao Wang, Fusong Ju, Qi Zhang, Jianwei Zhu, Tiansu Gong, Haicang Zhang, Chungong Yu, Wei-Mou Zheng, Dongbo Bu, Protein Structure Prediction: Challenges, Advances, and the Shift of Research Paradigms, Genomics, Proteomics & Bioinformatics, 2023. https://www.sciencedirect.com/science/article/pii/S1672022923000657#f0005

  8. Megan Stanley, Marwin Segler, Fake it until you make it? Generative de novo design and virtual screening of synthesizable molecules, Current Opinion in Structural Biology, Volume 82, 2023. https://www.sciencedirect.com/science/article/pii/S0959440X2300132X

  9. Geethu S., Vimina E.R., Protein Secondary Structure Prediction Using Cascaded Feature Learning Model, Applied Soft Computing, Volume 140, 2023. https://www.sciencedirect.com/science/article/abs/pii/S1568494623002600

  10. Samuel J. Belfield, James W. Firman, Steven J. Enoch, Judith C. Madden, Knut Erik Tollefsen, Mark T.D. Cronin, A review of quantitative structure-activity relationship modelling approaches to predict the toxicity of mixtures, Computational Toxicology, Volume 25, 2023. https://www.sciencedirect.com/science/article/pii/S2468111322000391

  11. Jian-Feng Zhong, Abdul Rauf, Muhammad Naeem, Jafer Rahman, Adnan Aslam, Quantitative structure-property relationships (QSPR) of valency based topological indices with Covid-19 drugs and application, Arabian Journal of Chemistry, Volume 14, Issue 7, 2021. https://www.sciencedirect.com/science/article/pii/S1878535221002550

  12. Maud Parrot, Hamza Tajmouati, Vinicius Barros Ribeiro da Silva, Brian Ross Atwood, Robin Fourcade, Yann Gaston-Mathé, Nicolas Do Huu, Quentin Perron, Integrating synthetic accessibility with AI-based generative drug design, Journal of Cheminformatics, Volume 15, Article 83, 2023. https://jcheminf.biomedcentral.com/articles/10.1186/s13321-023-00742-8

  13. Simon Johansson, Amol Thakkar, Thierry Kogej, Esben Bjerrum, Samuel Genheden, Tomas Bastys, Christos Kannas, Alexander Schliep, Hongming Chen, Ola Engkvist, AI-assisted synthesis prediction, Drug Discovery Today: Technologies, Volumes 32–33, 2019. https://www.sciencedirect.com/science/article/abs/pii/S1740674920300020