Results 31 to 40 of about 888,632 (296)
A semi-supervised method for drug-target interaction prediction with consistency in networks. [PDF]
PLoS ONE, 2013 Computational prediction of interactions between drugs and their target proteins is of great importance for drug discovery and design. The difficulties of developing computational methods for the prediction of such potential interactions lie in the ...
Hailin Chen, Zuping Zhang
doaj +1 more source
A Novel Deep Neural Network Technique for Drug–Target Interaction
Pharmaceutics, 2022 Drug discovery (DD) is a time-consuming and expensive process. Thus, the industry employs strategies such as drug repositioning and drug repurposing, which allows the application of already approved drugs to treat a different disease, as occurred in the ...
Jackson G. de Souza +2 more
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Allo-network drugs: Extension of the allosteric drug concept to protein-protein interaction and signaling networks [PDF]
, 2013 Allosteric drugs are usually more specific and have fewer side effects than orthosteric drugs targeting the same protein. Here, we overview the current knowledge on allosteric signal transmission from the network point of view, and show that most ...
Csermely, Péter +3 more
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Gaussian interaction profile kernels for predicting drug–target interaction [PDF]
Bioinformatics, 2011 Abstract Motivation: The in silico prediction of potential interactions between drugs and target proteins is of core importance for the identification of new drugs or novel targets for existing drugs. However, only a tiny portion of all drug–target pairs in current datasets are experimentally validated interactions.
Laarhoven, T.M. van +2 more
openaire +5 more sources
Digoxin + Cyclosporine - contextualized potential drug-drug interaction clinical algorithm
, 2020 An algorithm developed for research purposes that summarizes the potential drug-drug interaction between digoxin and cyclosporine. The information is not advice, and should not be treated as such.
Contributors to the A Minimum Representation of Potential Drug-Drug Interaction Knowledge and Evidence - Technical and User-centered Foundation Specification
core +1 more source
BMC Bioinformatics, 2022 Predicting drug–target interactions (DTIs) has become an important bioinformatics issue because it is one of the critical and preliminary stages of drug repositioning.
Reza Hassanzadeh +1 more
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Machine learning for Drug-Target Interaction Prediction
, 2022 This thesis proposes deep learning frameworks to learn and decode the drug"target interaction. The deep learning model is inspired by the drug"target interaction mechanism and exploits a rich external data resource.
Minh Tri Nguyen (16927608)
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Computational Discovery of Putative Leads for Drug Repositioning through Drug-Target Interaction Prediction. [PDF]
PLoS Computational Biology, 2016 De novo experimental drug discovery is an expensive and time-consuming task. It requires the identification of drug-target interactions (DTIs) towards targets of biological interest, either to inhibit or enhance a specific molecular function.
Edgar D Coelho +2 more
doaj +1 more source
Drug Target Commons: A Community Effort to Build a Consensus Knowledge Base for Drug-Target Interactions [PDF]
Cell Chemical Biology, 2018 Knowledge of the full target space of bioactive substances, approved and investigational drugs as well as chemical probes, provides important insights into therapeutic potential and possible adverse effects. The existing compound-target bioactivity data resources are often incomparable due to non-standardized and heterogeneous assay types and ...
Tang, Jing +25 more
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Toward more realistic drug-target interaction predictions [PDF]
Briefings in Bioinformatics, 2014 A number of supervised machine learning models have recently been introduced for the prediction of drug-target interactions based on chemical structure and genomic sequence information. Although these models could offer improved means for many network pharmacology applications, such as repositioning of drugs for new therapeutic uses, the prediction ...
Tapio Pahikkala +6 more
openaire +2 more sources