The active pH and temperature stability are important features of enzyme for application. In this study, AcalPred and Tm prediction tools at TBI software were applied for prediction of active pH and temperature stability of two sequences that mined from metagenomic DNA data, coding for endoglucanases (EGC). The predicted results showed that both EGC1, EGC2 were acidic enzymes and Tm of EGC1 was 55-65oC, of EGC2 was lower than 55oC. The EGC1 and EGC2 were expressed in E. coli under infusions form (EGC1) and chimeric form (SUMOEGC2). Both purified EGC1, SUMOEGC2 were active at acidic condition with optimal pH of 6 and 4 respectively. Both enzymes were stable at the temperature lower than 50oC and EGC1 was more stable than SUMOEGC2. These results confirmed the feasibility of AcalPred and the Tm prediction tool for estimating active pH and temperature stability of enzymes based on the coding sequences.

AcalPred, Tm prediction tool, E. coli, endoglucanase, goat rumen, metagenomic DNA data, recombinant enzymes, termite gut.

In this study, the AcalPred and the Tm prediction tool expressed to be the powerful tools for prediction of active pH and temperature stability of endoglucanases based on the sequences mined from metagenomic DNA data. The results from bioinformatic prediction agreed with experiment results.

Nguyen, Khanh Hoang Viet, Nguyen, Thi Thao, Truong, Nam Hai and Do, Thi Huyen (2019). Application of Bioinformatic tools for Prediction of Active pH and Temperature Stability of Endoglucanases Based on Coding Sequences from Metagenomic DNA data. Biologic