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Ngo, Tri Duc,Ryu, Bum Han,Ju, Hansol,Jang, Eunjin,Park, Kwangsoo,Kim, Kyeong Kyu,Kim, T Doohun Wiley-Blackwell 2013 Acta crystallographica. Section D, Biological crys Vol.69 No.9
<P>Intracellular mobilization of fatty acids from triacylglycerols in mammalian adipose tissues proceeds through a series of lipolytic reactions. Among the enzymes involved, hormone-sensitive lipase (HSL) is noteworthy for its central role in energy homeostasis and the pathogenic role played by its dysregulation. By virtue of its broad substrate specificity, HSL may also serve as an industrial biocatalyst. In a previous report, Est25, a bacterial homologue of HSL, was identified from a metagenomic library by functional screening. Here, the crystal structure of Est25 is reported at 1.49?? resolution; it exhibits an α/β-hydrolase fold consisting of a central β-sheet enclosed by α-helices on both sides. The structural features of the cap domain, the substrate-binding pocket and the dimeric interface of Est25, together with biochemical and biophysical studies including native PAGE, mass spectrometry, dynamic light scattering, gel filtration and enzyme assays, could provide a basis for understanding the properties and regulation of hormone-sensitive lipase (HSL). The increased stability of cross-linked Est25 aggregates (CLEA-Est25) and their potential for extensive reuse support the application of this preparation as a biocatalyst in biotransformation processes.</P>
Machine learning for predicting long-term deflections in reinforce concrete flexural structures
Anh-Duc Pham,Ngoc-Tri Ngo,Thi-Kha Nguyen 한국CDE학회 2020 Journal of computational design and engineering Vol.7 No.1
Prediction of deflections of reinforced concrete (RC) flexural structures is vital to evaluate the workability and safety of structures during its life cycle. Empirical methods are limited to predict a long-term deflection of RC structures because they are difficult to consider all influencing factors. This study presents data-driven machine learning (ML) models to early predict the long-term deflections in RC structures. An experimental dataset was used to build and evaluate single and ensemble ML models. The models were trained and tested using the stratified 10-fold cross-validation algorithm. Analytical results revealed that the ML model is effective in predicting the deflection of RC structures with good accuracy of 0.972 in correlation coefficient (R), 8.190 mm in root mean square error (RMSE), 4.597 mm in mean absolute error (MAE), and 16.749% in mean absolute percentage error (MAPE). In performance comparison against with empirical methods, the prediction accuracy of the ML model improved significantly up to 66.41% in the RMSE and up to 82.04% in the MAE. As a contribution, this study proposed the effective ML model to facilitate designers in early forecasting long-term deflections in RC structures and evaluating their long-term serviceability and safety.
Interaction of TIF-90 and filamin A in the regulation of rRNA synthesis in leukemic cells
Nguyen, Le Xuan Truong,Chan, Steven M.,Ngo, Tri Duc,Raval, Aparna,Kim, Kyeong Kyu,Majeti, Ravindra,Mitchell, Beverly S. American Society of Hematology 2014 Blood Vol.124 No.4
<P>The transcription initiation factor I (TIF-IA) is an important regulator of the synthesis of ribosomal RNA (rRNA) through its facilitation of the recruitment of RNA polymerase I (Pol I) to the ribosomal DNA promoter. Activation of the phosphoinositide 3-kinase (PI3K)/protein kinase B (Akt) pathway, which occurs commonly in acute myelogenous leukemia, enhances rRNA synthesis through TIF-IA stabilization and phosphorylation. We have discovered that TIF-IA coexists with a splicing isoform, TIF-90, which is expressed preferentially in the nucleolus and at higher levels in proliferating and transformed hematopoietic cells. TIF-90 interacts directly with Pol I to increase rRNA synthesis as a consequence of Akt activation. Furthermore, TIF-90 binds preferentially to a 90-kDa cleavage product of the actin binding protein filamin A (FLNA) that inhibits rRNA synthesis. Increased expression of TIF-90 overcomes the inhibitory effect of this cleavage product and stimulates rRNA synthesis. Because activated Akt also reduces FLNA cleavage, these results indicate that activated Akt and TIF-90 function in parallel to increase rRNA synthesis and, as a consequence, cell proliferation in leukemic cells. These results provide evidence that the direct targeting of Akt would be an effective therapy in acute leukemias in which Akt is activated.</P>
Le-Phuc Nguyen,Yen Thi Hai Pham,Phuong Thuy Ngo,Tri Van Tran,Loc Vinh Tran,Nam Thi Hoai Le,Luong Huu Nguyen,Tung Thanh Dang,Duc Anh Nguyen,Marco Wenzel,David Hartmann,Karsten Gloe,Jan J. Weigand,Klaus 한국화학공학회 2018 Korean Journal of Chemical Engineering Vol.35 No.5
Acid leaching and a two-step solvent extraction procedure were developed to produce high purity mixture of La and Ce from iron-rich spent FCC catalyst discharged from Dzung Quat refinery (Vietnam). Acid leaching of the spent catalyst with 2M HNO3 and a solid-to-liquid ratio of 1/3 at 80 oC in 1 h dissolved almost 90% of La while 12% of Al and 25% of Fe were transferred to the leachate. The extraction of RE metals and main impurities such as Al and Fe by a mixture of di-2-ethylhexyl phosphoric acid (D2EHPA) and tributyl phosphate (TBP) was investigated. Experiments showed that it was necessary to remove Fe before extracting RE and the optimum extraction conditions for a high recovery of RE while 0% of Al extraction were pH1, contact time=10min, and D2EHPA/TBP volume ratio= 4 : 1. At these conditions, the extraction yields of La(III) and Ce(III) were 72% and 89%, respectively. A two-step solvent extraction was developed to achieve a high purity of RE mixture, which included (1) the removal of impurity Fe by 25% (v/v) diisooctyl phosphinic acid (DiOPA) in n-octane for 140 min, (2) the extraction of rare earths by a mixture of di-2-ethylhexyl phosphoric acid (D2EHPA) and tributyl phosphate (TBP) in n-octane for 10 min without the need for adjusting the pH of the leaching solution.