AIMC Topic: Recombinant Proteins

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Expression of rabies virus glycoprotein in the methylotrophic yeast Pichia pastoris.

Biotechnology and applied biochemistry
Rabies is a fatal disease that can be prevented by vaccination. Different approaches were investigated to develop novel human rabies vaccines with improved features compared to the current available vaccines, among them is the use of heterologous gen...

Mutagenic Potential ofBos taurus Papillomavirus Type 1 E6 Recombinant Protein: First Description.

BioMed research international
Bovine papillomavirus (BPV) is considered a useful model to study HPV oncogenic process. BPV interacts with the host chromatin, resulting in DNA damage, which is attributed to E5, E6, and E7 viral oncoproteins activity. However, the oncogenic mechani...

Prediction of recombinant protein overexpression in Escherichia coli using a machine learning based model (RPOLP).

Computers in biology and medicine
Recombinant protein overexpression, an important biotechnological process, is ruled by complex biological rules which are mostly unknown, is in need of an intelligent algorithm so as to avoid resource-intensive lab-based trial and error experiments i...

The potential of random forest and neural networks for biomass and recombinant protein modeling in Escherichia coli fed-batch fermentations.

Biotechnology journal
Product quality assurance strategies in production of biopharmaceuticals currently undergo a transformation from empirical "quality by testing" to rational, knowledge-based "quality by design" approaches. The major challenges in this context are the ...

Transfer Learning for Designing Efficient Signal Peptides to Improve the Secretion Level of Recombinant Protein in .

Journal of agricultural and food chemistry
Signal peptides (SPs) play an essential role in determining the secretion efficiency of proteins of interest (POIs). However, the manual identification of SPs with a high secretion potential is both time-consuming and labor-intensive. Recently, many ...

A deep learning model trained on expressed transcripts across different tissue types reveals cell-type codon-optimization preferences.

Nucleic acids research
Species-specific differences in protein translation can affect the design of protein-based drugs. Consequently, efficient expression of recombinant proteins often requires codon optimization. Publicly available optimization tools do not always result...

Machine learning modeling of the effects of media formulated with various yeast extracts on heterologous protein production in Escherichia coli.

MicrobiologyOpen
In microbial manufacturing, yeast extract is an important component of the growth media. The production of heterologous proteins often varies because of the yeast extract composition. To identify why this reduces protein production, the effects of ye...

GOF/LOF knowledge inference with tensor decomposition in support of high order link discovery for gene, mutation and disease.

Mathematical biosciences and engineering : MBE
For discovery of new usage of drugs, the function type of their target genes plays an important role, and the hypothesis of "Antagonist-GOF" and "Agonist-LOF" has laid a solid foundation for supporting drug repurposing. In this research, an active ge...

[rhPDGF-BB promotes migration of bone marrow stromal stem cells in diabetic rats].

Shanghai kou qiang yi xue = Shanghai journal of stomatology
PURPOSE: To evaluate the effect of different concentrations of rhPDGF-BB on bone marrow stromal stem cells(BMSCs) migration in diabetic rat, and related mechanisms of SDF-1 and its G-protein conjugated receptor regulation, provide a theoretical basis...

[Single-chain antibodies from alpaca for the detection of Fasciola hepatica antigens].

Revista peruana de medicina experimental y salud publica
OBJECTIVES.: To produce recombinant single-chain antibodies from alpaca that will bind to the excreted-secreted (ES) Fasciola hepatica antigen with high affinity and specificity, so as to develop new diagnostic technologies of human and animal fascio...