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Revolutionizing Protein Engineering with ProDomino

ProDomino reshapes protein design, allowing innovative switches for various applications.

Benedict Wolf, Pegi Shehu, Luca Brenker, Anna von Bachmann, Ann-Sophie Kroell, Nicholas Southern, Stefan Holderbach, Joshua Eigenmann, Sabine Aschenbrenner, Jan Mathony, Dominik Niopek

― 6 min read


ProDomino: Game Changer ProDomino: Game Changer in Proteins applications. for groundbreaking research and ProDomino optimizes protein functions
Table of Contents

Proteins are essential molecules in living organisms, performing various functions that keep cells and bodies running smoothly. Think of proteins like tiny machines, where each machine has its own job. Within these proteins, there are smaller parts called Domains, which can be seen as the individual components that do specific tasks. Just like a car engine with multiple parts working together, proteins rely on these domains to function correctly.

Interestingly, the way these domains combine and rearrange can lead to new protein capabilities. Some domains can be shuffled around like puzzle pieces, creating new combinations that allow for innovation in biology. This shuffling process is a key player in how living things evolve over time. We've learned that by combining existing domains in new ways, we can engineer proteins with abilities that nature hasn’t provided.

The Challenge of Combining Protein Domains

Now, it sounds easy to just mix domains and create something new, right? Well, not so fast! It turns out that merging two domains into a single protein isn’t as simple as gluing them together. When you try to combine them, you can easily disrupt their functions, which could lead to a broken protein or one that doesn't work as intended.

To fix this issue, scientists need to find the right spots within the proteins where these combinations will work. Finding these "sweet spots" can be a bit of a treasure hunt, as there are many factors at play. Some areas are more accepting of new domains, while others can be quite picky. The search for these insertion sites can be complicated, especially since the same spot might work for one combination but not for another.

Enter ProDomino: The Protein Insertion Optimizer

To help in finding these sweet spots for protein combinations, scientists developed a handy tool called ProDomino. This is a computer program designed to predict where new domains can fit within existing proteins without causing a ruckus. Imagine having a guide to help you find the perfect spot for each puzzle piece-this is what ProDomino aims to do.

Instead of relying on just a few experimental results, which can be very limited and tedious to gather, ProDomino uses a large dataset of protein sequences. This dataset includes proteins where domains have naturally swapped places or inserted themselves into each other over time. By analyzing these examples, ProDomino can suggest feasible spots for new domain insertions in other proteins.

Building the Protein Insertion Dataset

To train ProDomino, researchers had to create a dataset that captures different ways domains interact. They gathered information about many proteins from existing databases that categorize proteins by their structures and functions. By filtering these proteins for cases where one domain is inserted into another, they generated a massive dataset with nearly 175,000 sequences.

This dataset included various examples of what happens when one domain interrupts another, providing valuable insight into how proteins might behave when combined. Of course, just like a detective with many clues, the model had to sift through this information to make accurate predictions about new combinations.

Training ProDomino: A Glimpse into the Process

The next step was to train ProDomino on this dataset. Much like teaching a dog new tricks, the program had to learn to identify which combination spots on proteins are friendly toward new domains. Scientists artificially removed specific domains from the protein sequences, marking where new domains could fit in comfortably without causing chaos.

They tried a bunch of different methods to teach ProDomino, using various computer models and techniques. The goal was to find the best way for the program to understand the vast and intricate world of protein domains and how they can be fused together while maintaining their functions.

Validation Through Experimentation

Once ProDomino was trained, it needed to prove it could do its job. Researchers took the predictions made by the model and put them to the test, performing experiments to see if the suggested insertion sites actually worked. They tested a few proteins, such as AraC and Cas9, to check whether ProDomino could correctly identify spots for domain insertions.

In these experiments, the team found that ProDomino's predictions were mostly accurate, successfully matching the spots where proteins could safely accept new domains. Not only did this give confidence in ProDomino's capabilities, but it also opened doors for creating new protein designs.

Engineering Switchable Proteins

One of the most exciting applications of ProDomino is in creating switchable proteins. These are proteins that can be turned on or off, like a light switch, allowing scientists to control their activity. By inserting specific domains that react to light or chemicals, researchers can manage when the proteins are active.

For example, scientists inserted a light-sensitive domain into a common antibiotic resistance enzyme. This created a switchable version of the enzyme, which retained its function when turned off but could be activated under blue light. In tests, they found that cells expressing this new version showed normal resistance in the dark but became sensitive to antibiotics when illuminated.

Now, that’s a clever way to command a protein rather than just letting it run wild!

ProDomino and CRISPR: A Match Made in Science

Not stopping with antibiotic resistance, researchers also applied ProDomino to the world of CRISPR, which is a tool for editing genes. In a series of experiments, they engineered switchable CRISPR proteins that could be turned on or off. By inserting light-sensitive or drug-responsive domains into these proteins, they created versions that could perform gene editing with great precision and control.

This means they can target specific genes in living cells using CRISPR and decide when to do it based on light or chemical signals. It’s like having a remote control for gene editing-who wouldn’t want that?

The Beauty of Control in Biotechnology

The ability to control protein functions dynamically is a significant step forward in biotechnology. Switchable proteins can change how researchers approach biological questions and medical treatments. They can better study protein functions, develop new therapies, and engineer organisms with desired traits.

As scientists continue to improve and refine ProDomino, we can expect new and exciting developments in protein engineering. Who knows what other clever inventions might come from the ability to fine-tune proteins with ease?

Conclusion: Future Prospects of ProDomino

In summary, ProDomino represents a ground-breaking tool in protein engineering, offering a pathway to new proteins that can respond to their environment in fascinating ways. By harnessing the complexity of proteins and utilizing sophisticated models to predict domain combinations, scientists are making strides towards innovative biotechnological applications.

So, the next time you hear about proteins being switched on and off like lights, remember: it’s all thanks to the clever science behind ProDomino, helping to illuminate the path for future discoveries in biotechnology, medicine, and beyond. Protein engineering may be complex, but with tools like ProDomino, the future looks bright!

Original Source

Title: Rational engineering of allosteric protein switches by in silico prediction of domain insertion sites

Abstract: Domain insertion engineering is a powerful approach to juxtapose otherwise separate biological functions, resulting in proteins with new-to-nature activities. A prominent example are switchable protein variants, created by receptor domain insertion into effector proteins. Identifying suitable, allosteric sites for domain insertion, however, typically requires extensive screening and optimization. We present ProDomino, a novel machine learning pipeline to rationalize domain recombination, trained on a semi-synthetic protein sequence dataset derived from naturally occurring intradomain insertion events. ProDomino robustly identifies domain insertion sites in proteins of biotechnological relevance, which we experimentally validated in E. coli and human cells. Finally, we employed light- and chemically regulated receptor domains as inserts and demonstrate the rapid, model-guided creation of potent, single-component opto- and chemogenetic protein switches. These include novel CRISPR-Cas9 and -Cas12a variants for inducible genome engineering in human cells. Our work enables one-shot domain insertion engineering and substantially accelerates the design of customized allosteric proteins.

Authors: Benedict Wolf, Pegi Shehu, Luca Brenker, Anna von Bachmann, Ann-Sophie Kroell, Nicholas Southern, Stefan Holderbach, Joshua Eigenmann, Sabine Aschenbrenner, Jan Mathony, Dominik Niopek

Last Update: 2024-12-04 00:00:00

Language: English

Source URL: https://www.biorxiv.org/content/10.1101/2024.12.04.626757

Source PDF: https://www.biorxiv.org/content/10.1101/2024.12.04.626757.full.pdf

Licence: https://creativecommons.org/licenses/by-nc/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to biorxiv for use of its open access interoperability.

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