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Development of hybrid model for improving the prediction of dengue-human protein interaction for anti-viral drug discovery
Author(s) -
A. Jainul Fathima,
S. Balamurali,
R. Revathy,
G. Murugaboopathi
Publication year - 2020
Publication title -
international journal of intelligent information and database systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.133
H-Index - 12
eISSN - 1751-5866
pISSN - 1751-5858
DOI - 10.1504/ijiids.2020.10031590
Subject(s) - dengue fever , dengue virus , computer science , drug discovery , artificial intelligence , artificial neural network , novelty , machine learning , autoencoder , interaction network , drug development , data mining , bioinformatics , virology , drug , biology , philosophy , biochemistry , gene , pharmacology , theology

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