Novel enzyme design using ancestral sequence reconstruction

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Smart Protein Builders Company Services in Novel Enzyme Design

Leveraging expertise in advanced protein engineering and bioinformatics, our company possesses the ability to design, optimize, and innovate in the creation of novel enzymes with fully customized properties, utilizing the most powerful computational (in silico) methods

Through the use of advanced algorithms, precise simulations, and molecular modeling, we are able to create enzymes that are optimized for stability, catalytic activity, and compatibility with industrial conditions. The following sections introduce some of our services in this area:

Ancestral Sequence Reconstruction (ASR):

In this method, we reconstruct the ancestral sequences of enzymes by utilizing phylogenetic analyses, statistical evolutionary modeling, and multiple sequence alignment (MSA). The reconstructed enzymes typically possess the following characteristics

High thermal stability due to their similarity to primordial enzymes that evolved in harsh environmental conditions

Broad functional flexibility, enabling activity across a wide range of pH and temperatures

Greater robustness in industrial environments, such as the presence of organic solvents or concentrated salts

This approach helps our clients receive enzymes that deliver exceptional performance not just in laboratory settings, but also on an industrial scale

Chimeric Enzyme Design:

In chimeric enzyme design, we create hybrid enzymes with unique properties by combining key segments, such as domains or active motifs, from several different enzymes

This method utilizes homology modeling, docking, and molecular dynamics simulation to ensure that the final enzyme structure possesses optimal stability and function. Chimeric enzymes can exhibit specific traits, such as activity toward unusual substrates or resistance to inhibitors, which makes them highly suitable for complex industrial applications

Consensus Sequence Design:

In the Consensus Sequence Design method, our company collects and aligns a large set of homologous sequences to determine the most frequent amino acid at each position

Using this consensus sequence, we design enzymes that exhibit higher thermal and structural stability. This method reduces the likelihood of misfolding errors and improves the overall quality of enzyme performance. Most importantly, this strategy minimizes the need for extensive and costly laboratory experiments while dramatically increasing the efficiency of industrial enzymes. This approach is highly effective for optimizing enzymes at an industrial scale and reducing development costs

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WhatsApp number

+98 912 836 0916

WhatsApp number

+98 930 144 1004

Company email

nimanezhad@neoenzyme.com

Company email

nimanezhad86@gmail.com

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