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Mar 31, 2024 · Based on drug similarity, it is possible to generate a list of drugs that are similar to a given drug. This approach allows for functional ...
Feb 14, 2023 · Here, we announce a computational method for measuring drug-drug similarity based on drug indications and side effects.
In this study, we focus on the network structure itself and propose a drug similarity measure based on drug–drug interaction networks.
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Jun 12, 2024 · In this study, we focus on the network structure itself and propose a drug similarity measure based on drug–drug interaction networks. We ...
Nov 9, 2023 · Here, we propose a simple yet effective similarity-based method for preclinical DDI prediction where only the chemical structure is available.
Sep 20, 2019 · We proposed "NDD: Neural network-based method for drug-drug interaction prediction" for predicting unknown DDIs using various information about drugs.
Jan 28, 2022 · In this paper, we review the research progress of machine learning in predicting unknown drug interactions.
The ensemble model uses the Jaccards coefficient method for identifying similarity measures between drugs. This similarity indices are given to a neighbor ...
In this study, we focus on the network structure itself and propose a drug similarity measure based on drug–drug interaction networks. We explore the potential ...
Computational prediction of drug-drug interactions based on ...
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Drug-drug interactions may occur based on common biological targets. Similarity measures of drug interactions are based on drugs functional similarity.