"Docking study and QSAR analysis based on the artificial neural network and ..."

Taoufik Akabli et al. (2023)

> Home

Details and statistics

DOI: 10.1504/IJCAET.2023.10052481

access: closed

type: Journal Article

metadata version: 2023-01-24

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/ijcaet/AkabliTSL23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/ijcaet/AkabliTSL23
Taoufik Akabli, Hamid Toufik, Mourad Stitou, Fatima Lamchouri:
Docking study and QSAR analysis based on the artificial neural network and multiple linear regression of novel harmine derivatives. Int. J. Comput. Aided Eng. Technol. 18(1/2/3): 190-210 (2023)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.