Optimal descriptor as a translator of eclectic data into prediction of cytotoxicity for metal oxide nanoparticles under different conditions

标题
Optimal descriptor as a translator of eclectic data into prediction of cytotoxicity for metal oxide nanoparticles under different conditions
作者
关键词
QSAR, Quasi-SMILES, Quasi-QSAR, Nano-QSAR, Monte Carlo method, Cytotoxicity, Metal oxide nanoparticle
出版物
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
Volume 112, Issue -, Pages 39-45
出版商
Elsevier BV
发表日期
2014-11-05
DOI
10.1016/j.ecoenv.2014.10.003

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started