The recent progress of deep-learning-based in silico prediction of drug combination-Reference-Cited by-同舟云学术

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The recent progress of deep-learning-based in silico prediction of drug combination

Published:2023-07 Issue:7 Volume:28 Page:103625
ISSN:1359-6446
Container-title:Drug Discovery Today
language:en
Short-container-title:Drug Discovery Today

Author:

Liu Haoyang,Fan Zhiguang,Lin Jie,Yang Yuedong,Ran Ting,Chen Hongming

Funder

Guangdong Provincial Pearl River Talents Program

Department of Science and Technology of Guangdong Province

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Elsevier BV

Subject

Drug Discovery,Pharmacology

Reference98 articles.

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2. Potential impact of the multi-target drug approach in the treatment of some complex diseases;Makhoba;Drug Des Devel Ther,2020

3. Principles and mechanisms of non-genetic resistance in cancer;Bell;Br J Cancer,2020

4. Mutation–selection balance and compensatory mechanisms in tumour evolution;Persi;Nat Rev Genet,2021

5. Off-target toxicity is a common mechanism of action of cancer drugs undergoing clinical trials;Lin;Sci Transl Med,2019

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3. Predicting drug combination response surfaces;2024-04-05

4. Multi-filter Based Signed Graph Convolutional Networks for Predicting Interactions on Drug Networks;Lecture Notes in Computer Science;2024

5. Benefits and risks of drug combination therapy for diabetes mellitus and its complications: a comprehensive review;Frontiers in Endocrinology;2023-12-19

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