5156-22-9Relevant articles and documents
Chiral HPLC Separation and Modeling of Four Stereomers of DL-Leucine-DL-Tryptophan Dipeptide on Amylose Chiral Column
Alajmi, Mohammed F.,Hussain, Afzal,Suhail, Mohd.,Mukhtar, Sofi Danish,Sahoo, Dibya Ranjan,Asnin, Leonid,Ali, Imran
, p. 642 - 648 (2016)
Chiral high-performance liquid chromatography (HPLC) separation and modeling of four stereomers of DL-leucine-tryptophan DL-dipeptide on AmyCoat-RP column are described. The mobile phase applied was ammonium acetate (10?mM)-methanol-acetonitrile (50:5:45, v/v). The flow rate of the mobile phases was 0.8?mL/min with UV detection at 230?nm. The values of retention factors for LL-, DD-, DL-, and LD- stereomers were 2.25, 3.60, 5.00, and 6.50, respectively. The values of separation and resolution factors were 1.60, 1.39, and 1.30 and 7.76, 8.05, and 7.19. The limits of detection and quantitation were ranging from 1.0–2.3 and 5.6–14.0?μg/mL. The simulation studies established the elution orders and the mechanism of chiral recognition. It was seen that π–π connections and hydrogen bondings were the main forces for enantiomeric resolution. The reported chiral HPLC method may be applied for the enantiomeric separation of DL-leucine-DL-tryptophan in unknown matrices. Chirality 28:642–648, 2016.
Identification of novel L-amino acid α-ligases through hidden markov model-based profile analysis
Senoo, Akihiro,Tabata, Kazuhiko,Yonetani, Yoshiyuki,Yagasaki, Makoto
body text, p. 415 - 418 (2010/09/30)
L-Amino acid α-ligase (Lal), catalyzing the formation of α-dipeptides from unprotected l-amino acids in an ATP-dependent manner, is used in cost-effective fermentative production of dipeptides. We searched for novel Lals by in silico screening using Hidden Markov Model-based profile analysis, and identified five novel Lals that showed low similarity and different substrate specificity from known Lals.