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Exonic Studio (DNA) - Competition Quick Start

Exonic • 2025-11-01 • 3:29 minutes • YouTube

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Getting Started with DNA Design in the Exonic Studio Competition

If you're interested in DNA design and want to dive into an exciting competition, Exonic Studio offers a fantastic platform to get started quickly. In this post, we'll walk you through a super quick start guide on how to use the tools provided inside Exonic Studio to participate in the DNA design competition, optimize sequences, and validate your designs.

Exploring the DNA Design Panel

The first tool you'll encounter is the DNA Design Panel. This is a hands-on, user-friendly interface where you can manually manipulate DNA sequences. Key features include:

  • Copy and Paste DNA Regions: Easily copy segments of DNA and paste them to create new sequences.
  • Randomization: Quickly randomize your DNA sequence to explore different variants.
  • Selection Modes: Choose between grid mode or traditional sequence mode to select and edit your DNA.
  • Visual Layout: The DNA is displayed in a wrapped left-to-right format, making it intuitive to view and edit.

This panel is perfect for experimenting with DNA sequences and making targeted changes.

Using the Malinosis DNA Optimizer

On the right side of the interface, you'll find the Malinosis DNA Optimizer. This tool leverages a model from a recent research paper, which sets a benchmark for the competition. The optimizer offers two main approaches:

  • Greedy Optimizer: This method randomly flips base pairs to incrementally improve the score.
  • Gradient-Based Method: A more sophisticated approach that uses gradients to optimize the sequence in a controlled manner.

Running the Gradient-Based Optimization

To use the gradient-based method:

  1. Set the KL clamp parameter to control how much the sequence can change in each optimization step. Increasing this value allows larger changes.
  2. Choose the number of steps to run (e.g., 30 steps).
  3. Run the optimizer.

This method quickly generates optimized sequences. For example, after running it, you might see a strong score on the target cell line HEP G2 and good off-target scores, indicating specificity.

Balancing Scores and Real-World Validation

One key insight from the competition is that achieving a very high score on the Malinosis model isn't the only goal. Some sequences may score exceptionally high but could be overly optimistic or unrealistic for wet lab validation. The challenge lies in balancing:

  • High on-target activity (e.g., HEP G2 activation)
  • Low off-target effects
  • Design cleverness that translates to practical success

Fine-Tuning Sequences in the DNA Design Panel

After generating an optimized sequence, you can:

  • Paste it into the DNA Design Panel.
  • Visualize where the model predicts high activity and off-target effects using heatmaps.
  • Manually flip base pairs to reduce off-target activation.
  • Incorporate known DNA motifs that enhance target activity.

This iterative process allows you to combine computational optimization with human intuition.

Submitting Your Design

Once satisfied with your sequence:

  1. Copy and paste it into the submission panel.
  2. Run the internal model pipeline to evaluate your design.
  3. Review the scores and various metrics provided.

This feedback loop helps you refine your approach and improve future designs.

Conclusion

Exonic Studio provides a powerful, interactive environment to design and optimize DNA sequences for a cutting-edge competition. By combining manual design with automated optimization tools like the Malinosis DNA Optimizer, you can explore creative solutions and validate them computationally before moving to experimental phases.

Ready to start designing? Jump into Exonic Studio, experiment with the panels, and see how far your DNA designs can go!


Happy Designing!


📝 Transcript (76 entries):

Hey there. We're inside of Exonic Studio and this is the super quick start on how to play in the competition to design DNA. So, we're looking at two different nodes here. One is the DNA design panel and this is just a kind of uh handdesigned DNA tool. So, you can um you know copy and paste regions of DNA. Let's turn that on. You can just randomize it and you can even um change the mode that you select things with. So you can uh you know use the grid mode or you can use a more traditional sequence mode and of course the DNA here is wrapped left to right. On the right hand side here we have the malinosis DNA optimizer and malinosis is the model from the paper we're uh trying to beat and uh this is using the malinos model and we have two different ways to use it either a greedy optimizer which just flips random base pairs until the score gets better or uh a gradientbased method. So let's go ahead and run the gradientbased method and we can turn the KL clamp way up. That just basically says how how much change will we allow in any given step. And let's just do 30 steps. So we'll run it now. Okay, that was pretty fast. And you can see here we got a six on HEP G2 and pretty good offtarget scores here. Um, so one thing is it's actually extremely easy to get crazy high scores on HEP G2 using a gradientbased method. And that's where things are very interesting in this competition. Uh because it's not just about getting a high score on malininois. It's sort of getting a high score and also uh being clever in how you kind of validate that it might actually be good in the wet lab. Wow. So this one got a 28. So that's maybe too high. The model might be a little uh optimistic on this one. And so I I copied and paste pasted it here into the DNA design panel. Very cool. So we can see where the malanois model uh is saying it's active in HEPG2 and where it's not active or rather where it's active in offtarget. So we can turn off that heat map here and uh just it'll be interesting to just randomly flip some of these. So you can see there that flipping that base pair actually lowered the offtarget activation. Let's try a few more. And we can even see where we can, you know, maybe copy and paste some of the motifs that uh are powerful in Hebg2. So, this seems to be quite good. And let's just drop it over here. Oh, wow. Okay. So, our uh our score is looking quite good, actually. uh very low offtarget, strong ontarget. And so I'm just going to copy and paste the sequence. Come over here and paste it and hit submit. And it's going to run our internal model pipeline. Boom. There we go. So you can see the score here and uh all the different metrics. So, um, that's a great place to start to play with those two panels and, uh, see what you can