Ezequiel Galpern
@eag91.bsky.social
210 followers 1.1K following 11 posts
‪MSCA fellow at @crg.eu‬ w/M. Dias and @jonnyfrazer.bsky.social > Biological Physics | Proteins | Comp Bio | ML https://scholar.google.com/citations?user=n55NtEsAAAAJ&hl=en
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eag91.bsky.social
Dark Energy is not a relative score, but provides a common scale and has physical energy units. And it can be also computed even if ΔΔG is not available, using AWSEM force-field. You can compute it for your favorite PDB colab.research.google.com/github/eagalpern/colabs/blob/main/DarkEnergy.ipynb
Google Colab
colab.research.google.com
eag91.bsky.social
Some sites have, on average over all the possible variants, high Dark Energy. In those cases, there is a function beyond protein folding affecting natural selection. This is clearly the case of Enzyme catalytic sites
eag91.bsky.social
The idea is simple. For a deleterious mutation, we expect the protein to get destabilized. But how much? Correlations between a ΔΔG DMS and the corresponding ESM-2 scores are not perfect. We define the difference between these two free energies as a ‘Dark Energy’.
eag91.bsky.social
And you can make folding mechanism predictions for your favorite protein!
colab.research.google.com/github/eagal...
Google Colab
colab.research.google.com
eag91.bsky.social
Also, we show that both the stability and cooperativity changes induced by mutations can be computed directly using sequence-based evolutionary models.
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eag91.bsky.social
Protein topology imposes limits on the variability of folding cooperativity within a family. While most beta and alpha/beta structures exhibit only a few possible mechanisms despite high sequence diversity, alpha topologies allow for diverse folding scenarios.
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eag91.bsky.social
For 15 diverse protein families, we computed the folding mechanisms of hundreds of proteins by simulating an Ising chain of folding elements, or foldons. The energetics is determined by each amino acid sequence.
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eag91.bsky.social
We show that it is possible to use sequence info to go beyond predicting native structures and global stability to infer the folding mechanisms of globular proteins. We mapped a Potts evolutionary energy at the amino-acid level to a coarse-grained description of folding.
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eag91.bsky.social
We know that closely related proteins usually share similar three-dimensional structures. But differences in their amino acid sequences can lead to distinct folding mechanisms, enabling the natural evolution of diverse biological functions.
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eag91.bsky.social
Finally published!
“Inferring protein folding mechanisms from natural sequence diversity”

Open acces link: authors.elsevier.com/a/1lQvh1SPTB...
@biophysj.bsky.social

A new chapter of an amazing project w/ @diegulise.bsky.social and Ernesto Roman

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authors.elsevier.com