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1
Published in 2020 at "Molecular pharmaceutics"
DOI: 10.1021/acs.molpharmaceut.9b01248
Abstract: To improve drug discovery yield, a method which is implemented at the beginning of drug discovery that accurately predicts drug side effects, indications, efficacy, and mode of action based solely on the input of the…
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Keywords:
drug side;
drug;
mode action;
side ... See more keywords
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1
Published in 2020 at "Nature Communications"
DOI: 10.1038/s41467-020-18305-y
Abstract: A central issue in drug risk-benefit assessment is identifying frequencies of side effects in humans. Currently, frequencies are experimentally determined in randomised controlled clinical trials. We present a machine learning framework for computationally predicting frequencies…
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Keywords:
predicting frequencies;
frequencies drug;
drug side;
drug ... See more keywords
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2
Published in 2021 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab449
Abstract: The side effects of drugs present growing concern attention in the healthcare system. Accurately identifying the side effects of drugs is very important for drug development and risk assessment. Some computational models have been developed…
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Keywords:
side effect;
drug side;
side;
side effects ... See more keywords
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2
Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab586
Abstract: A critical issue of drug risk-benefit evaluation is to determine the frequencies of drug side effects. Randomized controlled trail is the conventional method for obtaining the frequencies of side effects, while it is laborious and…
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Keywords:
frequencies drug;
side effects;
drug side;
predicting frequencies ... See more keywords
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1
Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2946314
Abstract: Cancer is one of the most influential factors causing death in the world. Adenosine which is a molecule, found in all human cells by coupling with G protein it turns into an adenosine receptor. Adenosine…
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Keywords:
adenosine receptors;
drug;
machine;
adenosine ... See more keywords
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0
Published in 2019 at "IEEE Journal of Biomedical and Health Informatics"
DOI: 10.1109/jbhi.2018.2883834
Abstract: Drug-side effect association contains the information on marketed medicines and their recorded adverse drug reactions. Traditional experimental method is time consuming and expensive. All associations of drugs and side-effects are seen as a bipartite network.…
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Keywords:
drug;
effect association;
side effect;
drug side ... See more keywords
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2
Published in 2022 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2022.3175362
Abstract: Drug Side–Effects (DSEs) have a high impact on public health, care system costs, and drug discovery processes. Predicting the probability of side–effects, before their occurrence, is fundamental to reduce this impact, in particular on drug…
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Keywords:
multi source;
modular multi;
side effects;
drug side ... See more keywords