Publishes research papers and review articles relevant to the engineering, design and selection of proteins for use in biotechnology and therapy, and for
Further, protein engineering is rationally designed including the inefficient enzymes PdxA, PdxJ, and the initial enzymes Epd and Dxs. By the iterative multimodule optimization strategy, the final strain produces 1.4 g/L of PN with productivity of 29.16 mg/L/h by fed-batch fermentation. ...
Milk proteins and milk protein-derived peptides have been widely studied for their health enhancing properties. This chapter presents the updated scientific knowledge on the bioactive properties of milk protein-derived peptides. The different bioactive p
The GP model trained on sequence–function data represents the SAMPLE agent’s current knowledge, and, from here, the agent must decide which sequences to evaluate next to achieve the protein engineering goal. BO techniques address this problem of sequential decision-making under uncertainty. The u...
NMPA has required the listing permit holder for the vaccine to continue its research and timely submit its results.Recombinant Protein-based COVID-19 Vaccineexpresses and purifies pathogen antigen protein in engineering cells by means of genetic engineering and is safer.On April 14, 2020, China's ...
and categorizes its main heterologous protein products. The strategies for constructing efficient protein-producing yeast strains are summarized and discussed, including the construction of protein hyperexpression systems, protein secretion engineering, glycosylation pathway engineering, and systems metabolic ...
Fabrication of self-assembled protein A monolayer and its application as an immunosensor The self-assembled layer of modified protein A was fabricated. In order to modify protein A, the surface group of protein A was substituted with thiol (-SH... W Lee,BK Oh,YM Bae,... - 《Biosensors ...
Generative Models in Protein Engineering: A Comprehensive Survey Chen Xinhui, Yiwen Yuan, Joseph Liu, Chak Tou Leong, Xiaoye Zhu, Jiaqi Chen Neurips 2024 Workshop A Survey of Deep Learning Methods in Protein Bioinformatics and its Impact on Protein Design Weihang Dai arXiv:2501.01477 The Promise ...
and engineering strategies, this review follows an integrative approach to summarize and compare the major innovations in the field of microbial recombinant protein production, with a focus on four microbial platforms: Escherichia coli, Bacillus subtilis, Saccharomyces cerevisiae, and Pichia pastoris (syn...
coli under the same expression vector and conditions [17], to construct the MPEPE deep learning model. Although these experimental data cannot be clustered by traditional methods (Fig. S10), our model can effectively extract the features relevant to our protein engineering research question. In ...