AUG-Met Bioinformatics
Accelerating Novel Enzyme Development with Neural Networks

A company proven to make novel enzyme development faster and more cost-effective, AUG-Met Bioinformatics modifies naturally occurring enzyme structures to create new biocatalysts. It achieves this by leveraging a neural network, which quantifies the correlations between enzymes and substrates to ensure the construction of final products more likely to elicit the desired reaction.

Developing novel enzymes is typically a highly intricate and complex undertaking that involves selecting amino acids from a pool of 20 for each position in the protein sequence. This means filling in just one percent of an enzyme comprising upwards of 400 amino acids would require considering a staggering 160,000 possible combinations, making it practically impossible to test each in a laboratory setting.

Traditionally, this process has relied on trial and error and expert knowledge to narrow the options, which can be time-consuming and expensive. Conversely, AUG-Met Bioinformatics’ neural network draws from existing enzymes to generate sequences based on enzymatic behavior and produce a range of potential sequences for the client to test in a laboratory setting. This simplifies the development process by significantly reducing the laboratory testing of sequences and providing clients with a faster and cost-effective means of obtaining enzymes with novel functions. Its methodology resembles Google Translate, but instead of languages, it converts enzymatic behavior into amino acid sequences.

“We excel in connecting enzymatic reactions with their sequences through a correlation based on enzyme mechanics and backed by mathematical evidence.

This enables us to offer prompt solutions to diverse client specifications,” says Thomas Philps, founder of AUG-Met Bioinformatics.

AUG-Met Bioinformatics’ sequence specification feature allows clients to input areas of the sequence, eliminating the need for modifications. Its neural network then fills in the remaining sequence, considering the desired reaction. Clients can reliably generate enzyme sequences using a fill-in-the-blank method through this capability. All these unmatched capabilities are optional modules that clients can choose based on their unique requirements.

AUG-Met Bioinformatics also provides enzymatic processes by inferring larger structures from subtle modifications in the substrate. A good example is its ability to phosphorylate lactose by generating enzyme sequences that account for the changes in substrate. This capability allows AUG-Met Bioinformatics to offer innovative solutions to clients seeking specific enzymatic modifications.

Revolutionizing enzyme sequence generation, AUG-Met Bioinformatics offers various additional features that provide unprecedented control over the development of candidate enzymes. Through its competencies, clients can specify their desired reaction, ranging from general to highly specific, with a strong preference for specificity. Essentially, they gain the freedom to dictate the chemicals to be acted upon, determine the location of phosphate groups, and even select the carbon atoms to be bonded. This level of control allows clients to precisely tailor enzyme design to meet their specific needs.

Going the extra mile, AUG-Met Bioinformatics recognizes the importance of cofactors in enzymatic processes. While not all enzymes require cofactors, clients can include them in their enzyme design. It considers the presence and chemical properties of specific cofactors, ensuring compatibility with the desired reaction. This optional feature enhances the versatility of AUG-Met Bioinformatics’ services by accommodating an array of enzymatic requirements and diverse biochemical scenarios. Seamlessly incorporating client choices regarding cofactors, the firm achieves unmatched flexibility and customization in enzyme design.

Today, AUG-Met Bioinformatics is at the forefront of leveraging the power of neural networks to develop novel enzymes with greater efficiency and accuracy. Driven by its innovative features and services that deliver greater control over reaction parameters and active learning, it is well-positioned to continue developing cutting-edge technologies and applications to revolutionize the biotechnology industry as bioinformatics continues to evolve.