Production of active eukaryotic proteins through bacterial expression systems: a review of the existing biotechnology strategies

Prediction of strain engineerings that amplify recombinant protein secretion through the machine learning approach MaLPHAS

This article presents a discussion of the process of precision fermentation (PF), describing the history of the space, the expected 70% growth over the next 5 years, various applications of precision fermented products, and the markets available to be disrupted by the technology. A range of prokaryotic and eukaryotic host organisms used for PF are described, with the advantages, disadvantages and applications of each. The process of setting up PF and strain engineering is described, as well as various ways that computational analysis and design techniques can be employed to assist PF engineering. The article then describes the design and implementation of a machine learning method, machine learning predictions having amplified secretion (MaLPHAS) to predict strain engineerings, which optimise the secretion of a recombinant protein. This approach showed an in silico cross-validated R 2 accuracy on the training data of up to 46.6% and in an in vitro test on a Komagataella phaffii strain, identified one gene engineering out of five predicted, which was shown to double the secretion of a heterologous protein and outperform three of the best-known edits from the literature for improving secretion in K. phaffii.

Prokaryotic expression, evaluation, and prediction of the structure and function of the ecarin metalloproteinase domain

Ecarin is one of the most widely used drug compounds in blood clotting experiments and is used to monitor and treat many diseases such as cancer, liver, lupus, and cardiovascular disease. The metalloproteinase domain is known as the active site of ecarin. In this study, an ecarin metalloproteinase cassette was designed and synthesized in the pUC57 vector. The gene fragment was released and cloned into the pET-28a vector and expressed in Escherichia coli. The recombinant protein was confirmed by western blotting. Enzyme activity was estimated by a laboratory coagulation test, and prothrombin time and tertiary structure were determined by using the Iterative Threading ASSEmbly Refinement (I-TASSER) server. Data from blood clotting tests for the produced ecarin activity were analyzed using an independent t test. As per I-TASSER server prediction, model 1 with the highest confidence score 0.95, template modeling score (0.84 ± 0.08), and root mean square deviation (3.5 ± 2.4 Å) was considered as the best model, and the 2e3xA enzyme was more similar to the target protein. The predictive results helped to better understand the relationship between the structure and function of the ecarin metalloproteinase domain. Also, the production of this active site in the prokaryotic expression system, which is simpler and more cost-effective than the production of the eukaryotic system, showed that this recombinant ecarin could be used as a substitute for the raw snake venom of Echis carinatus because it converts prothrombin into thrombin, and its activity, as estimated using the prothrombin time test, was found to be faster than normal ecarin.