No abstract

Insulin precursor fusion protein expressed in Pichia pastoris is a single-chain protein with a spacer peptide (EEAEAEAEPK) localized at its N-terminal. Currently, the one-step transpeptidation reaction with low yield and high cost is generally employed to convert the insulin precursor fusion protein into human insulin ester. In this study, a two-step transpeptidation reaction was proposed separating the cleavage step from the coupling step so that each reaction was performed under its optimal conditions. Using this method, the total efficiency doubled and the reaction time was shortened compared with the one-step method. In addition, the amount of O-t-butyl-l-threonine t-butyl ester and trypsin dosages were reduced by 50% and 75%, respectively. This two-step transpeptidation strategy was simple and efficient and could be used for the pharmaceutical production of human insulin.

DNA extraction from food is always problematic especially from highly processed samples which contain only trace amounts of severely degraded DNA fragments. In this work, to extract trace amounts of small DNA fragments of the traditional Chinese medicine (TCM) colla corii asini derived from highly processed Equus asinus skin, three strategies were compared for its authentication. With some optimizations, the modified QIAquick spin column method achieved higher DNA yield and purity in comparison with the “SDS/proteinase K” method and the “Wizard magnetic DNA purification system for food” method. Further studies showed that at least 0.4 g colla corii asini was needed to obtain enough DNA extracts for PCR-based detection by the method and only amplicons of less than 100 bp could be generated from the DNA extracts which confirmed the efficiency of the method in small DNA fragment extraction. The DNA obtained by this method was suitable to be used in PCR-based authentications.

No abstract

The artificial Gorilla Troop Optimization (GTO) algorithm (GTO) is a metaheuristic optimization algorithm that simulates the social life of gorillas. This paper proposes three innovative strategies considering the GTO algorithm’s insufficient convergence accuracy and low convergence speed. First, a shrinkage control factor fusion strategy is proposed to expand the search space and reduce search blindness by strengthening the communication between silverback gorillas and other gorillas to improve global optimization performance. Second, a sine cosine interaction fusion strategy based on closeness is proposed to stabilize the performance of silverback gorillas and other gorilla individuals and improve the convergence ability and speed of the algorithm. Finally, a gorilla individual difference identification strategy is proposed to reduce the difference between gorilla and silverback gorillas to improve the quality of the optimal solution. In order to verify the optimization effect of the modified artificial gorilla troop optimization (MGTO) algorithm, we used 23 classic benchmark functions, 30 CEC2014 benchmark functions, and 10 CEC2020 benchmark functions to test the performance of the proposed MGTO algorithm. In this study, we used a total of 63 functions for algorithm comparison. At the same time, we carried out the exploitation and exploration balance experiment of 30 CEC2014 and 10 CEC2020 functions for the MGTO algorithm. In addition, the MGTO algorithm was also applied to test seven practical engineering problems, and it achieved good results.