Results 11 to 20 of about 888,632 (296)
A novel method for drug-target interaction prediction based on graph transformers model
BMC Bioinformatics, 2022 Background Drug-target interactions (DTIs) prediction becomes more and more important for accelerating drug research and drug repositioning. Drug-target interaction network is a typical model for DTIs prediction.
Hongmei Wang +4 more
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Drug Target Commons 2.0: a community platform for systematic analysis of drug–target interaction profiles [PDF]
Database, 2018 Drug Target Commons (DTC) is a web platform (database with user interface) for community-driven bioactivity data integration and standardization for comprehensive mapping, reuse and analysis of compound-target interaction profiles. End users can search, upload, edit, annotate and export expert-curated bioactivity data for further analysis, using an ...
ZiaurRehman Tanoli +8 more
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Application of Machine Learning for Drug–Target Interaction Prediction [PDF]
Frontiers in Genetics, 2021 Exploring drug–target interactions by biomedical experiments requires a lot of human, financial, and material resources. To save time and cost to meet the needs of the present generation, machine learning methods have been introduced into the prediction ...
Lei Xu, Xiaoqing Ru, Rong Song
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Neighborhood Regularized Logistic Matrix Factorization for Drug-Target Interaction Prediction. [PDF]
PLoS Computational Biology, 2016 In pharmaceutical sciences, a crucial step of the drug discovery process is the identification of drug-target interactions. However, only a small portion of the drug-target interactions have been experimentally validated, as the experimental validation ...
Yong Liu +4 more
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BMC BioinformaticsBackground Accurately identifying drug-target interaction (DTI), affinity (DTA), and binding sites (DTS) is crucial for drug screening, repositioning, and design, as well as for understanding the functions of target.
Xin Zeng +5 more
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Drug Target Interaction Prediction Using Machine Learning Techniques – A Review. [PDF]
International Journal of Interactive Multimedia and Artificial Intelligence, 2023 Drug discovery is a key process, given the rising and ubiquitous demand for medication to stay in good shape right through the course of one’s life. Drugs are small molecules that inhibit or activate the function of a protein, offering patients a host ...
A. Suruliandi, T. Idhaya, S. P. Raja
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Mapping drug-target interaction networks [PDF]
2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2009 Molecular polypharmacological studies have gained more and more attention as they are important in predicting drug off-target properties and potential toxicity/side effect. The explosive growth of biomedical data provides us an opportunity to develop novel strategies to conduct such studies by analyzing molecular interaction networks. In this paper, we
Longzhang Tian,, Shuxing Zhang,
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The RAS–Effector Interaction as a Drug Target [PDF]
Cancer Research, 2017 Abstract About a third of all human cancers harbor mutations in one of the K-, N-, or HRAS genes that encode an abnormal RAS protein locked in a constitutively activated state to drive malignant transformation and tumor growth. Despite more than three decades of intensive research aimed at the discovery of RAS-directed therapeutics ...
Adam B, Keeton +2 more
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Drug–target interaction prediction via multiple classification strategies
BMC Bioinformatics, 2022 Background Computational prediction of the interaction between drugs and protein targets is very important for the new drug discovery, as the experimental determination of drug-target interaction (DTI) is expensive and time-consuming.
Qing Ye, Xiaolong Zhang, Xiaoli Lin
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Big Data and Cognitive Computing, 2021 Coronavirus disease 2019 pandemic spreads rapidly and requires an acceleration in the process of drug discovery. Drug repurposing can help accelerate the drug discovery process by identifying new efficacy for approved drugs, and it is considered an ...
Aulia Fadli +4 more
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