Results 251 to 260 of about 888,632 (296)

Enhancing Drug-Target Interaction Prediction through Transfer Learning from Activity Cliff Prediction Tasks. [PDF]

J Chem Inf Model
Ibragimova R, Iliadis D, Waegeman W.
europepmc   +1 more source

Drug-target interaction prediction by integrating heterogeneous information with mutual attention network. [PDF]

BMC Bioinformatics
Zhang Y, Wang Y, Wu C, Zhan L, Wang A, Cheng C, Zhao J, Zhang W, Chen J, Li P.   +9 more
europepmc   +1 more source

Prediction of drug target interaction based on under sampling strategy and random forest algorithm. [PDF]

PLoS One
Chen F, Zhao Z, Ren Z, Lu K, Yu Y, Wang W.   +5 more
europepmc   +1 more source

Drug-Target Interaction Prediction Based on an Interactive Inference Network. [PDF]

Int J Mol Sci
Chen Y, Liang X, Du W, Liang Y, Wong G, Chen L.   +5 more
europepmc   +1 more source

Deep-Learning-Based Drug–Target Interaction Prediction

Journal of Proteome Research, 2017
Identifying interactions between known drugs and targets is a major challenge in drug repositioning. In silico prediction of drug-target interaction (DTI) can speed up the expensive and time-consuming experimental work by providing the most potent DTIs.
Ming Wen, Zhimin Zhang, Qiong Yang
exaly   +4 more sources

Mitigating cold-start problems in drug-target affinity prediction with interaction knowledge transferring

Briefings in Bioinformatics, 2022
Predicting the drug-target interaction is crucial for drug discovery as well as drug repurposing. Machine learning is commonly used in drug-target affinity (DTA) problem.
Tri Minh Nguyen, Thin Nguyen, Truyen Tran   +2 more
exaly   +1 more source

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Protein–Protein Interactions as Drug Targets

Future Medicinal Chemistry, 2015
Modulation of protein-protein interactions (PPIs) is becoming increasingly important in drug discovery and chemical biology. While a few years ago this 'target class' was deemed to be largely undruggable an impressing number of publications and success stories now show that targeting PPIs with small, drug-like molecules indeed is a feasible approach ...
Skwarczynska, Malgorzata, Ottmann, Christian   +1 more
openaire   +2 more sources

The Computational Models of Drug-target Interaction Prediction

Protein & Peptide Letters, 2020
:The identification of Drug-Target Interactions (DTIs) is an important process in drug discovery and medical research. However, the tradition experimental methods for DTIs identification are still time consuming, extremely expensive and challenging. In the past ten years, various computational methods have been developed to identify potential DTIs.
Yijie, Ding, Jijun, Tang, Fei, Guo
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Drug–Target Interactions

2023
Both the action (pharmacodynamics) and movement (pharmacokinetics) of a drug molecule into, through, and out of the body require some specific or non-specific interactions with target biological molecules. These kinds of interactions could be a combination of electrostatic, hydrogen bonding, dipole, or lipid/hydrophobic interactions in addition to ...
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