Computational Methods in Viscous Flows. Recent Advances in Numerical Methods in Fluids. Vol. 3. Edited by W. G. Habashi. Pineridge Press Limited, Swansea. 1984. 660 pp. Illustrated. £23.00.Advances in Computational Transonics. Recent Advances in Numerical Methods in Fluids. Vol. 4. Edited by W. G. Habashi. Pineridge Press Limited, Swansea. 1985. 934 pp. Illustrated. £43.00

1987 ◽  
Vol 91 (901) ◽  
pp. 45 ◽  
Author(s):  
G.J. Hancock
Keyword(s):  
Numerical Methods ◽  
Computational Methods ◽  
Viscous Flows ◽  
Recent Advances

Recent Advances in the Machine Learning-Based Drug-Target Interaction Prediction

2019 ◽  
Vol 20 (3) ◽  
pp. 194-202 ◽  
Author(s):  
Wen Zhang ◽  
Weiran Lin ◽  
Ding Zhang ◽  
Siman Wang ◽  
Jingwen Shi ◽  
...  
Keyword(s):  
Machine Learning ◽  
Computational Methods ◽  
Drug Target ◽  
Prediction Models ◽  
Prediction Methods ◽  
Crucial Issue ◽  
Target Interaction ◽  
Interaction Prediction ◽  
Recent Advances ◽  
Drug Similarity

Background:The identification of drug-target interactions is a crucial issue in drug discovery. In recent years, researchers have made great efforts on the drug-target interaction predictions, and developed databases, software and computational methods.Results:In the paper, we review the recent advances in machine learning-based drug-target interaction prediction. First, we briefly introduce the datasets and data, and summarize features for drugs and targets which can be extracted from different data. Since drug-drug similarity and target-target similarity are important for many machine learning prediction models, we introduce how to calculate similarities based on data or features. Different machine learningbased drug-target interaction prediction methods can be proposed by using different features or information. Thus, we summarize, analyze and compare different machine learning-based prediction methods.Conclusion:This study provides the guide to the development of computational methods for the drug-target interaction prediction.

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