DeLA-DrugSelf: Empowering multi-objective de novo design through SELFIES molecular representation-Reference-Cited by-同舟云学术

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DeLA-DrugSelf: Empowering multi-objective de novo design through SELFIES molecular representation

Published:2024-06 Issue: Volume:175 Page:108486
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Alberga Domenico^ORCID,Lamanna Giuseppe^ORCID,Graziano Giovanni^ORCID,Delre Pietro^ORCID,Lomuscio Maria Cristina,Corriero Nicola,Ligresti Alessia,Siliqi Dritan,Saviano Michele^ORCID,Contino Marialessandra,Stefanachi Angela,Mangiatordi Giuseppe Felice^ORCID

Funder

European Union

Publisher

Elsevier BV

Reference88 articles.

1. Estimation of the size of drug-like chemical space based on GDB-17 data;Polishchuk;J. Comput. Aided Mol. Des.,2013

2. Role of drug metabolism in drug discovery and development;Kumar;Med. Res. Rev.,2001

3. Pharmacokinetic/pharmacodynamic modeling in drug Research and development;Derendorf;J. Clin. Pharmacol.,2000

4. Decision making in medicinal chemistry: the power of our intuition;Gomez;ACS Med. Chem. Lett.,2018

5. Structure-based virtual screening: from classical to artificial intelligence;Maia;Front. Chem.,2020

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Multi-objective de novo Drug Design using Bidirectional Recurrent Neural Networks and Nondominated Sorting;2024 Second International Conference on Data Science and Information System (ICDSIS);2024-05-17

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