#Generative Model

[cbirt]

A part of systems biology is ‘designing RNA structures,’ which entails planning and organizing molecules of RNA into custom 3D formations with particular uses. RNA plays a dual role in cells, encoding genetic information and performing structural functions. Proteins are somewhat easier to study and model because of the precision nature of this macromolecule, while RNA conformations pose a special challenge because of their flexibility and multiple interactions. Deep learning and generative models have added a new generation to RNA structure design that bids new horizons for biotechnology and medicine. Enter RNA-FRAMEFLOW, a novel way for de novo 3D RNA backbone design that leverages flow-matching principles to create accurate and functional RNA structures.

The problem of designing the backbone of RNA is rooted in the fact that RNA undergoes conformational changes and because RNA interactions are complex, including base pairing and stacking. Proteins can be exemplified as relatively simple molecules by comparing them to RNA structures in which each nucleotide contains 13 atoms that require precise parameterization. This complexity, along with the loss of explicit physical interaction representations in current deep learning models, makes RNA structure prediction not only less precise than protein structure prediction but also nuanced. Solving these issues is essential for evolving the RNA modeling and design.

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[sevilai]

You ever have an idea so dumb you drop everything to draw it

[mindsynthcreations]

[humming-fly]

He was feeling left out

and the higher rez stills, since gifs always export as if you're sending messages through a metal can~

[nmdry]

[hymyarts]

"We Myrmidons are not the sentimental type."

[cozylittleartblog]

Columbo and the Knight (1984)

put me in the universe where Columbo ran through the 1980s and had a crossover episode with Knight Rider. I think they deserved it, and I am not just saying that because they're my two favorite Old Shows. @telebeast wrote a little fanfic blurb about it and I HAD to visualize it into a comic (which is also the longest comic I have finished thus far at five pages...), so writing credit goes to them.

Autism W!

[ozzieort]

Hey! I'm ozzieort. I create art in a cartoonish style. Check out my page and have fun :) If you like my art send me a message! I do custom commissions Support me on my Patreon

[lanalee193]

[cbirt]

Dynamic structural ensembles play a major role in the biological functions of proteins. For the purpose of learning and sampling the conformational landscapes of proteins, researchers create a flow-based generative modeling technique in this work. Sequence-conditioned generative models of protein structure are produced by optimizing the highly accurate single-state predictor AlphaFold technique within a unique flow matching framework. This approach outperforms AlphaFold with multiple sequence alignment (MSA) subsampling in terms of precision and diversity when trained on the PDB. For proteins that are not yet known, it precisely records positional distributions, structural flexibility, and higher-order ensemble observables. The technique has the potential to serve as a stand-in for costly physics-based simulations because it can diversify static PDB structures with faster wall-clock convergence.

In order to perform their biological tasks, proteins frequently take on complex three-dimensional structures as components of structural ensembles with unique states, collective movements, and chaotic fluctuations. The intensity and selectivity of molecular interactions, including those involving transporters, channels, and enzymes, are controlled by these structures. While deep learning techniques such as AlphaFold are excellent for single-state modeling, they are not suitable for taking conformational variation into account. Structural biologists might benefit from an approach that reveals underlying structural ensembles and builds upon single-structure predictors.

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[xanna-tose]

Corseted Fashion 💖💝💖

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[masha-k-ia]

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[nmdry]

[ozzieort]

Hey! I'm ozzieort. I create art in a cartoonish style. Check out my page and have fun :) If you like my art send me a message! I do custom commissions Support me on my Patreon