Petr Šulc's Avatar

Petr Šulc

@petrsulc.bsky.social

Associate Professor at Arizona State University, and ERC grant PI at TU Munich. We play with DNA and RNA to make nanoscale structures and devices. Find out more at our lab page: sulclab.org

562 Followers  |  906 Following  |  27 Posts  |  Joined: 11.11.2024  |  1.6513

Latest posts by petrsulc.bsky.social on Bluesky

A great effort to chart possible future paths for the molecular programming field

17.07.2025 07:43 — 👍 1    🔁 0    💬 1    📌 0

The predictions were verified experimentally. Our results have implications for DNA/RNA molecular computing, design of DNA computing systems that interface with RNA triggers, and as we show in our presented model, it can also have implications for predicting the kinetics in CRISPR-based systems.

07.06.2025 11:05 — 👍 0    🔁 0    💬 0    📌 0

It shows that just by permuting the distribution of bases in the duplex (while keeping AT / CG base pair number constant), the kinetics of the reaction can be altered by orders of magnitude, stemming from the details of differences in stability between hybrid and canonical bases in DNA/RNA systems.

07.06.2025 11:05 — 👍 0    🔁 0    💬 1    📌 0

It is also of importance for biological systems like CRISPR-Cas9. In this collaboration, Eryk Ratajczyk supervised by Louis, Doye and Turberfield groups from Oxford, uses our new oxDNA-oxRNA hybrid coarse-grained model to study the strand displacement RNA invades DNA duplex.

07.06.2025 11:05 — 👍 0    🔁 0    💬 1    📌 0
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Controlling DNA–RNA strand displacement kinetics with base distribution | PNAS DNA–RNA hybrid strand displacement underpins the function of many natural and engineered systems. Understanding and controlling factors affecting D...

🧪🧬
Our new paper is just out in PNAS:
www.pnas.org/doi/10.1073/...

It is about nucleic acid strand displacement, which is a key reaction in molecular computation, and part of the success of the oxDNA model comes from the fact it can efficiently simulate this process.

1/4🧵

07.06.2025 11:05 — 👍 11    🔁 2    💬 1    📌 0

Great work by our student Navraj and Subhajit, building on top of the ground work of previous database by @floppleton.bsky.social and Michael Matthies

26.04.2025 22:24 — 👍 1    🔁 0    💬 0    📌 0
Nanobase A repository for DNA/RNA nanotechnology

Just in time for #FNANO conference in Snowbird, UT, our updated and improved version of nanobase.org server is online. Just like the PDB database helped to share protein structures, we want to create a community resource for the DNA/RNA/protein nanotechnology design researchers to share their work

26.04.2025 22:23 — 👍 9    🔁 0    💬 2    📌 1

4/4: Our crystal example thus provides a falsifiability test for classical nucleation theory, showing need for also taking into account structural fluctuations.

Excellent work by Camilla Beneduce and Diogo Pinto from John Russo's group in Rome!

08.04.2025 18:00 — 👍 0    🔁 0    💬 0    📌 0

3/4 However, we find that one of the three possible crystal phases is strongly preferred, due to the crystal lattice ordering being similar to the local ordering in the liquid phase.

08.04.2025 18:00 — 👍 0    🔁 0    💬 1    📌 0
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2/4: The assumptions of CNT rely on the free energy difference between bulk phase and the melt, and the interfacial free energy. In this work, we look at a two component system that forms a polymorph: it can nucleate into three different lattices with same interfacial and bulk free-energy.

08.04.2025 18:00 — 👍 0    🔁 0    💬 1    📌 0
Falsifiability Test for Classical Nucleation Theory Classical nucleation theory (CNT) is built upon the capillarity approximation, i.e., the assumption that the nucleation properties can be inferred from the bulk properties of the melt and the crystal....

🧪In our new paper (journals.aps.org/prl/abstract...) in collaboration with Russo, Romano, Rovigatti and Sciortino groups in Rome / Venice, we look at Classical Nucleation Theory: a popular model of nucleation process, n is a key phenomena in self-assembly, self-organization and phase transitions.

08.04.2025 18:00 — 👍 6    🔁 2    💬 1    📌 0

Thank you Ulrich, it was a pleasure visiting Heidelberg and meeting you. Many thanks to the amazing group of @kgoepfrich.bsky.social for hosting me!

24.03.2025 22:31 — 👍 2    🔁 0    💬 0    📌 1

Great collaboration with @laklab-tubs.bsky.social , simulations carried out by my student Josh Evans

17.03.2025 12:42 — 👍 2    🔁 0    💬 0    📌 0

If you change something in the candano file, it has to be loaded again from scratch into oxview. The scadnano tool has recently been expanded to also allow for visualization in embedded oxview window. Having an interactive cadnano-like interface inside oxView is currently on our TBD wishlist

05.02.2025 21:15 — 👍 2    🔁 0    💬 1    📌 0
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How We Simulate DNA Origami This tutorial provides a detailed step-by-step description on how to import DNA origami designs into the oxDNA model and characterize the origami's properties (such as equilibrium shape and flexibili...

🧬 A new tutorial article from our student Sarah, walking step by step through DNA origami simulation using oxDNA model, with the help of oxview.org and oxdna.org free tools. No prior experience assumed, and also accompanied by a video: youtu.be/5-rgMekX8gE
onlinelibrary.wiley.com/doi/10.1002/...

05.02.2025 10:57 — 👍 16    🔁 2    💬 2    📌 1

Thank you!

20.01.2025 11:39 — 👍 0    🔁 0    💬 0    📌 0

Thank you!

20.01.2025 11:39 — 👍 1    🔁 0    💬 0    📌 0
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Ceny Neuron 2024: Seznamte se s letošními laureáty | Nadace Neuron Věda je plná emocí a práce vědce představuje rébus, hru, touhu po poznání, vášeň, radost i lásku. Prozkoumejte krásu těchto emocí prostřednictvím laureátů Ceny Neuron.

I am very grateful to Neuron Foundation, considered among the most prestigious awards for Czech Scientists, for awarding me Promising Scientist award in Physics yesterday at a ceremony in Prague. Many thanks goes to my family, collaborators and students: www.nadaceneuron.cz/novinky/ceny...

20.01.2025 10:03 — 👍 9    🔁 0    💬 2    📌 0
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Automating Blueprints for the Assembly of Colloidal Quasicrystal Clusters One of the frontiers of nanotechnology is advancing beyond the periodic self-assembly of materials. Icosahedral quasicrystals, aperiodic in all directions, represent one of the most challenging target...

🧪🧬 New article with J Russo, D. Pinto and F. Sciortino out is @acspublications.bsky.social ACS Nano: pubs.acs.org/doi/10.1021/...
We use our #SAT Assembly method to design particles that assemble into 3D quasicrystal clusters, paving a way to their experimental realization with DNA nanostructures

22.12.2024 08:48 — 👍 13    🔁 5    💬 0    📌 0
SATa CLAUSE: When magic snow falls, a enchanted meadow blossoms
YouTube video by Sapienza soft matter group SATa CLAUSE: When magic snow falls, a enchanted meadow blossoms

In our Christmas tradition with John Russo's lab at Sapienza university of Rome, here is a Christmas-themed video highlighting a current research project based on our #SAT-assembly method, this time chiral crystals self-assembly (made by C. Beneduce): www.youtube.com/watch?v=0A7x...

13.12.2024 01:13 — 👍 3    🔁 0    💬 0    📌 0

Glad you find it useful!

03.12.2024 16:26 — 👍 1    🔁 0    💬 0    📌 0
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Starter packs BIOLOGY General Science community https://go.bsky.app/HVYAMEA Research Institutions in Life Sciences https://go.bsky.app/LxXpcvJ LGBTQIA+ in STEM https://go.bsky.app/BFc4wgf LGBTQIA+ in STEM 2 h...

Thank you so much to whoever put this very comprehensive list of #science Bsky starter packs together. This is just amazing: docs.google.com/document/d/1...

26.11.2024 02:47 — 👍 563    🔁 316    💬 49    📌 37

Are you working in DNA/RNA nanotech? Add your name to the list!

25.11.2024 20:06 — 👍 5    🔁 3    💬 0    📌 0

Hello, I am an associate professor in chemistry, would like to be added to the feed. Thank you!
My homepage: www.public.asu.edu/~psulc/
Departmental profile: search.asu.edu/profile/3160...
Google scholar: scholar.google.com/citations?hl...
ORCID: orcid.org/0000-0003-15...

23.11.2024 23:50 — 👍 1    🔁 0    💬 1    📌 0

🙋‍♂️ me too please

22.11.2024 20:28 — 👍 0    🔁 0    💬 1    📌 0
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Combination of Coevolutionary Information and Supervised Learning Enables Generation of Cyclic Peptide Inhibitors with Enhanced Potency from a Small Data Set Computational generation of cyclic peptide inhibitors using machine learning models requires large size training data sets often difficult to generate experimentally. Here we demonstrated that sequent...

Our new article on combining ML with experiments to design peptide binders to a target proteins is just out in ACS Central Science: pubs.acs.org/doi/10.1021/... .
We show it is possible to iteratively combine training on small dataset and experiments to achieve higher binding affinity.

20.11.2024 18:15 — 👍 8    🔁 1    💬 0    📌 0
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Evolving to find optimizations humans miss: using evolutionary computation to improve GPU code for bioinformatics applications | ACM Transactions on Evolutionary Learning and Optimization GPUs are used in many settings to accelerate large-scale scientific computation, including simulation, computational biology, and molecular dynamics. However, optimizing codes to run efficiently on GP...

🧪 🧬 Can code be evolved? In our collaboration with S. Forrest group, we show that random "mutations" to the code, accepted if they pass unit tests, can actually find changes to CUDA version of oxDNA simulation tool for DNA nanotechnology that lead to a speedup:
doi.org/10.1145/3703...

17.11.2024 00:32 — 👍 5    🔁 0    💬 1    📌 0

First up, Ned Seeman's 1982 "Nucleic Acid Junctions and Lattices", published in the Journal of Theoretical Biology. This was the first paper to propose that through sequence design it might be possible to create precisely-defined crystal lattices out of DNA. 🧬

www.sciencedirect.com/science/arti...

12.11.2024 22:01 — 👍 6    🔁 1    💬 1    📌 1
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I second that! Cats for bluesky!

13.11.2024 04:52 — 👍 3    🔁 1    💬 0    📌 0

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