42166-75-6Relevant academic research and scientific papers
Application of Predictive QSAR Models to Database Mining: Identification and Experimental Validation of Novel Anticonvulsant Compounds
Shen, Min,Béguin, Cécile,Golbraikh, Alexander,Stables, James P.,Kohn, Harold,Tropsha, Alexander
, p. 2356 - 2364 (2004)
We have developed a drug discovery strategy that employs variable selection quantitative structure-activity relationship (QSAR) models for chemical database mining. The approach starts with the development of rigorously validated QSAR models obtained with
Asymmetric α-2-tosylethenylation of N,N-dialkyl-l-amino acid esters via the formation of non-racemic ammonium enolates
Tayama, Eiji,Igarashi, Tomohito,Iwamoto, Hajime,Hasegawa, Eietsu
supporting information; experimental part, p. 339 - 345 (2012/01/19)
Asymmetric α-2-tosylethenylation of (S)-2-(pyrrolidin-1-yl)propanoic acid esters was shown to produce good yields with high enantioselectivities. The reaction proceeds via the formation of a non-racemic ammonium enolate without an external source of chirality.
