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ABCnet : Self-Attention based Atom, Bond Message Passing Network for Predicting Drug-Target Interaction

Segyu Lee, Junil Bang, Sungeun Hong, Woojung Jang
doi: https://doi.org/10.1101/2021.12.27.474154
Segyu Lee
1BioAI Inc., Seoul, Republic of Korea
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Junil Bang
2Department of Computer Science and Engineering, Kangwon National University, Kangwon Province, Republic of Korea
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Sungeun Hong
2Department of Computer Science and Engineering, Kangwon National University, Kangwon Province, Republic of Korea
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Woojung Jang
1BioAI Inc., Seoul, Republic of Korea
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  • For correspondence: bioaihealth@gmail.com
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Article Information

doi 
https://doi.org/10.1101/2021.12.27.474154
History 
  • December 27, 2021.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. Segyu Lee1,
  2. Junil Bang2,
  3. Sungeun Hong2 and
  4. Woojung Jang1,*
  1. 1BioAI Inc., Seoul, Republic of Korea
  2. 2Department of Computer Science and Engineering, Kangwon National University, Kangwon Province, Republic of Korea
  1. ↵*Correspondence to: Woojung Jang (e-mail: bioaihealth{at}gmail.com)
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Posted December 27, 2021.
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ABCnet : Self-Attention based Atom, Bond Message Passing Network for Predicting Drug-Target Interaction
Segyu Lee, Junil Bang, Sungeun Hong, Woojung Jang
bioRxiv 2021.12.27.474154; doi: https://doi.org/10.1101/2021.12.27.474154
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ABCnet : Self-Attention based Atom, Bond Message Passing Network for Predicting Drug-Target Interaction
Segyu Lee, Junil Bang, Sungeun Hong, Woojung Jang
bioRxiv 2021.12.27.474154; doi: https://doi.org/10.1101/2021.12.27.474154

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