Vracko, M. published the artcileComparison of predictions of developmental toxicity for compounds of solvent data set, Application of N-Methylformamide, the main research area is developmental toxicity solvents data set artificial neural network; Developmental toxicity; Kohonen artificial neural network; VEGA HUB CAESAR model; VEGA HUB PG model; solvents.
We have considered a series of 235 compounds tech. classified as solvents. Chem., they belong to different classes. Their potential developmental toxicity was evaluated using two models available on platform VEGA HUB; model CAESAR and the Developmental/ Reproductive Toxicity library (PG) model. Models provide beside the prediction of developmental toxicity addnl. information on similar compounds from models training sets. In the report, first, we compare the predictions. Second, the sets of similar compounds have been used to implement the clustering scheme. The Kohonen artificial neural network method has been applied as a clustering method. The clusters obtained have been discussed for both models.
SAR and QSAR in Environmental Research published new progress about Algorithm. 123-39-7 belongs to class amides-buliding-blocks, name is N-Methylformamide, and the molecular formula is C2H5NO, Application of N-Methylformamide.
Referemce:
Amide – Wikipedia,
Amide – an overview | ScienceDirect Topics