http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Gupte Akshaya (검색결과 2 건)
- 무료
- 기관 내 무료
- 유료
-
Transaminases for Green Chemistry: Recent Progress and Future Prospects
Pandya Shreya,Gupte Akshaya 한국미생물·생명공학회 2023 한국미생물·생명공학회지 Vol.51 No.4
Transaminase represents the most important biocatalysts used for the synthesis of chiral amines due to their stereoselectivity. They allow asymmetric synthesis with high yields and enantioselectivity from their corresponding ketones. Due to their environmentally friendly access for the preparation of chiral amines, they have attracted growing attention in recent times. Thus, the production of chiral compounds by transaminase catalysed reactions is considered as an important application in synthetic organic chemistry. Therefore, transaminase is considered to be an important enzyme in the pharmaceutical and chemical industries. ω-Transaminase holds great potential because of its wide substrate specificity thus making it a suitable enzyme to be used at an industrial scale. This review highlights the reaction mechanism, classification, substrate specificity, and biochemical properties. The review also showcases the application of ω-transaminase in organic chemistry with a focus on the production of active pharmaceutical ingredients (APIs).
-
Bhatt Ashish,Prajapati Darshankumar,Gupte Akshaya 한국미생물·생명공학회 2023 한국미생물·생명공학회지 Vol.51 No.1
Nitrilases are a hydrolase group of enzymes that catalyzes nitrile compounds and produce industrially important organic acids. The current objective is to optimize nitrilase production using statistical methods assisted with artificial intelligence (AI) tool from novel nitrile degrading isolate. A nitrile hydrolyzing bacteria Bacillus subtilis AGAB-2 (GenBank Ascension number- MW857547) was isolated from industrial effluent waste through an enrichment culture technique. The culture conditions were optimized by creating an orthogonal design with 7 variables to investigate the effect of the significant factors on nitrilase activity. On the basis of obtained data, an AI-driven support vector machine was used for the fitted regression, which yielded new sets of predicted responses with zero mean error and reduced root mean square error. The results of the above global optimization were regarded as the theoretical optimal function conditions. Nitrilase activity of 9832 ± 15.3 U/ml was obtained under optimized conditions, which is a 5.3-fold increase in compared to unoptimized (1822 ± 18.42 U/ml). The statistical optimization method involving Plackett Burman Design and Response surface methodology in combination with an AI tool created a better response prediction model with a significant improvement in enzyme production.
KCI
KISS연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
