AI-Driven Enhancements in Drug Screening and Optimization-Reference-Cited by-同舟云学术

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AI-Driven Enhancements in Drug Screening and Optimization

Published:2023-09-08 Issue: Volume: Page:269-294
ISSN:1064-3745
Container-title:Methods in Molecular Biology
language:
Short-container-title:

Author:

Serghini Adam,Portelli Stephanie,Ascher David B.

Publisher

Springer US

Link

https://link.springer.com/content/pdf/10.1007/978-1-0716-3441-7_15

Reference70 articles.

1. Hutchinson L, Kirk R (2011) High drug attrition rates–where are we going wrong? Nat Rev Clin Oncol 8(4):189–190. https://doi.org/10.1038/nrclinonc.2011.34

2. Moreno L, Pearson AD (2013) How can attrition rates be reduced in cancer drug discovery? Expert Opin Drug Discov 8(4):363–368. https://doi.org/10.1517/17460441.2013.768984

3. Seyhan AA (2019) Lost in translation: the valley of death across preclinical and clinical divide – identification of problems and overcoming obstacles. Transl Med Commun 4(1):18. https://doi.org/10.1186/s41231-019-0050-7

4. Pires DEV, Kaminskas LM, Ascher DB (2018) Prediction and optimization of pharmacokinetic and toxicity properties of the ligand. Methods Mol Biol 1762:271–284. https://doi.org/10.1007/978-1-4939-7756-7_14

5. Pires DEV, Portelli S, Rezende PM, Veloso WNP, Xavier JS, Karmakar M, Myung Y, Linhares JPV, Rodrigues CHM, Silk M, Ascher DB (2020) A comprehensive computational platform to guide drug development using graph-based signature methods. Methods Mol Biol 2112:91–106. https://doi.org/10.1007/978-1-0716-0270-6_7

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