"Systematic selection of chemical fingerprint features improves the Gibbs ..."

Meshari Alazmi et al. (2019)

> Home

Details and statistics

DOI: 10.1093/BIOINFORMATICS/BTY1035

access: open

type: Journal Article

metadata version: 2025-03-03

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/bioinformatics/AlazmiKSDG19
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/bioinformatics/AlazmiKSDG19
Meshari Alazmi, Hiroyuki Kuwahara, Othman Soufan, Lizhong Ding, Xin Gao:
Systematic selection of chemical fingerprint features improves the Gibbs energy prediction of biochemical reactions. Bioinform. 35(15): 2634-2643 (2019)

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.