Papers: 10.3390/ijms221910821

https://doi.org/10.3390/ijms221910821

Prediction Models for Agonists and Antagonists of Molecular Initiation Events for Toxicity Pathways Using an Improved Deep-Learning-Based Quantitative Structure–Activity Relationship System

Cited by: 6
Author(s): Yasunari Matsuzaka, Shin Totoki, Kentaro Handa, Tetsuyoshi Shiota, Kota Kurosaki, Yoshihiro Uesawa
Published: almost 5 years ago

Software Mentions 2

pypi: ant
Python implementation of the ANT, ANT+, and ANT-FS protocols (http://www.thisisant.com/).
Papers that mentioned: 9
Very Likely Science (65)
pypi: PyMOL
Papers that mentioned: 8,266
Very Likely Science (90)