88830-90-4 Usage
Uses
Used in Research Applications:
H-GLN-GLU-OH is used as a research tool for studying the metal binding affinity between Nickel (II) and oligopeptides containing aspartyl and glutamyl residues. This can help scientists understand the interactions between metal ions and peptides, which can be useful in various fields such as biochemistry, materials science, and medicine.
Used in Pharmaceutical Industry:
H-GLN-GLU-OH can be used as a building block for the development of new pharmaceutical compounds. Its unique structure and properties may allow it to be incorporated into drug molecules that target specific biological pathways or receptors, potentially leading to the development of new treatments for various diseases.
Used in Cosmetics Industry:
H-GLN-GLU-OH may also have potential applications in the cosmetics industry. Its ability to bind metal ions could make it useful in formulations designed to improve skin health or appearance. For example, it could be used in products that target acne, aging, or other skin concerns by modulating the activity of metal-dependent enzymes or other biological processes.
Check Digit Verification of cas no
The CAS Registry Mumber 88830-90-4 includes 8 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 5 digits, 8,8,8,3 and 0 respectively; the second part has 2 digits, 9 and 0 respectively.
Calculate Digit Verification of CAS Registry Number 88830-90:
(7*8)+(6*8)+(5*8)+(4*3)+(3*0)+(2*9)+(1*0)=174
174 % 10 = 4
So 88830-90-4 is a valid CAS Registry Number.
88830-90-4Relevant academic research and scientific papers
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.
