Classification of a diverse set of Tetrahymena pyriformis toxicity chemical compounds from molecular descriptors by statistical learning methods
10.1021/tx0600550
Saved in:
Main Authors: | Xue, Y., Li, H., Ung, C.Y., Yap, C.W., Chen, Y.Z. |
---|---|
Other Authors: | PHARMACY |
Format: | Article |
Published: |
2014
|
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/52828 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
Predation of magnetotactic bacteria by tetrahymena pyriformis – a model ciliate
by: Ng, Jessica Pei Zhen
Published: (2018) -
Loss of the acetate switch in Vibrio vulnificus enhances predation defense against Tetrahymena pyriformis
by: Rasheedkhan Regina, Viduthalai, et al.
Published: (2022) -
Protection of goldfish against some common ectoparasitic protozoans using Ichthyophthirius multifiliis and Tetrahymena pyriformis for vaccination
by: Ling, K.H., et al.
Published: (2014) -
Prediction of estrogen receptor agonists and characterization of associated molecular descriptors by statistical learning methods
by: Li, H., et al.
Published: (2014) -
Effect of selection of molecular descriptors on the prediction of blood-brain barrier penetrating and nonpenetrating agents by statistical learning methods
by: Li, H., et al.
Published: (2014)