"Perturbation-Theory and Machine Learning (PTML) Model for High-Throughput ..."

Lorena Simón-Vidal et al. (2018)

> Home

Details and statistics

DOI: 10.1021/ACS.JCIM.8B00286

access: closed

type: Journal Article

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/jcisd/Simon-VidalGOAL18
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/jcisd/Simon-VidalGOAL18
Lorena Simón-Vidal, Oihane García-Calvo, Uxue Oteo, Sonia Arrasate, Esther Lete, Nuria Sotomayor, Humberto González Díaz:
Perturbation-Theory and Machine Learning (PTML) Model for High-Throughput Screening of Parham Reactions: Experimental and Theoretical Studies. J. Chem. Inf. Model. 58(7): 1384-1396 (2018)

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.