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iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network.

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Title: iGRLDTI: an improved graph representation learning method for predicting drug-target interactions over heterogeneous biological information network.
Authors: Zhao BW; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China., Su XR; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China., Hu PW; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China., Huang YA; School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China., You ZH; School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China., Hu L; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China.
Source: Bioinformatics (Oxford, England) [Bioinformatics] 2023 Aug 01; Vol. 39 (8).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Oxford University Press Country of Publication: England NLM ID: 9808944 Publication Model: Print Cited Medium: Internet ISSN: 1367-4811 (Electronic) Linking ISSN: 13674803 NLM ISO Abbreviation: Bioinformatics Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Zhao+BW%22">Zhao BW</searchLink>; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China.<br /><searchLink fieldCode="AU" term="%22Su+XR%22">Su XR</searchLink>; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China.<br /><searchLink fieldCode="AU" term="%22Hu+PW%22">Hu PW</searchLink>; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China.<br /><searchLink fieldCode="AU" term="%22Huang+YA%22">Huang YA</searchLink>; School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China.<br /><searchLink fieldCode="AU" term="%22You+ZH%22">You ZH</searchLink>; School of Computer Science, Northwestern Polytechnical University, Xi'an 710129, China.<br /><searchLink fieldCode="AU" term="%22Hu+L%22">Hu L</searchLink>; The Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Urumqi 830011, China.; University of Chinese Academy of Sciences, Beijing 100049, China.; Xinjiang Laboratory of Minority Speech and Language Information Processing, Urumqi 830011, China.
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        Value: 10.1093/bioinformatics/btad451
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              Text: 2023 Aug 01
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