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Scientific Editor, Cell. PhD (Cantab). Views my own.
Qian Cheng
I'm starting a new role as Scientific Editor at Cell @cp-cell.bsky.social. I look forward to reading the exciting advances emerging across computational biology and applied AI in biomedicine. 📨 Please feel free to get in touch with me to discuss your work at [email protected]. #Cell #AI4Science
A biophysically principled sequence model IceQream characterises complex Transcription Factor-DNA interactions from chromosome accessibility analysis. @Akhiad.bsky.social #BiotechNatureComms www.nature.com/articles/s41...
Authors use Restricted Boltzmann machines trained on natural sequences to design new riboswitch aptamer domains and validate their functionality via chemical probing. @jorgefdcd.bsky.social www.nature.com/articles/s41...
MINT, trained on large #PPI datasets, outperforms existing protein language models in predicting binding, mutations, and immune interactions. @bergerlab.bsky.social #BiotechNatureComms doi.org/10.1038/s414...
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PyFuRNAce is an intuitive browser-based RNA design tool.  @monari-luca.bsky.social @kgoepfrich.bsky.social @uniheidelberg.bsky.social realized the largest cotranscriptionally folded RNA nanostructures to date. #BiotechNatureComms www.nature.com/articles/s41...
𝘕𝘢𝘵𝘶𝘳𝘦 𝘊𝘰𝘮𝘮𝘶𝘯𝘪𝘤𝘢𝘵𝘪𝘰𝘯𝘴 @natcomms.nature.com has recently launched 𝗔𝗿𝘁𝗶𝗰𝗹𝗲𝘀 𝗶𝗻 𝗣𝗿𝗲𝘀𝘀. This provides early, citable access to accepted research, enables faster dissemination of findings, and supports a smoother publishing experience for authors. 𝗙𝗔𝗤 here: support.springernature.com/en/support/s...
A multi-scale, multi-context, and interpretable mapping strategy to map cells across space, time, and disease. @pcnmartin.bsky.social @wonkj.bsky.social #spatialMapping #spatialOmics #BiotechNatureComms www.nature.com/articles/s41...
MIRO is a graph neural network method that enhances spatial clustering for single-molecule localisation microscopy datasets. #BiotechNatureComms @cmanzo.bsky.social @qubilab.bsky.social @giovannivolpe.bsky.social doi.org/10.1038/s414...
Benchmarking scHi-C embedding methods shows that data representation, preprocessing options, and biological settings play a more important role in identifying cell states. @fulaijin.bsky.social www.nature.com/articles/s41...
Using microfluidics and endogenous reporters, single cells are tracked to reveal how temporal dosing rewires chromatin in a model with near single-cell accuracy. @stevenwsmeal.bsky.social @robineclee.bsky.social #BiotechNatureComms www.nature.com/articles/s41...
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RNA nanotechnology creates structural and functional RNA architectures for biomedicine, synthetic biology and beyond. Here, the authors introduce pyFuRNAce, an intuitive browser-based RNA design tool....
www.nature.com
Qian Cheng
PyFuRNAce: an integrated design engine for RNA origami - Nature Communications
Qian Cheng
Qian Cheng
Qian Cheng
Qian Cheng
Qian Cheng
Qian Cheng
Qian Cheng
Qian Cheng
Qian Cheng
Cis regulatory elements endow genomes with sequence-encoded logic to drive cellular differentiation. Here, the authors introduce a biophysically principled sequence model that characterises complex TF...
www.nature.com
IceQream: Quantitative chromosome accessibility analysis using physical TF models - Nature Communications
Protein language models capture single proteins but struggle with interactions. Here, authors present MINT, trained on large PPI datasets, which outperforms existing PLMs in predicting binding, mutati...
doi.org
What is an Article in Press? How is the Article in Press different to the VoR?  Is the Article in Press citable?  How does indexing work with an Article in Press?  Can corrections/ amendments be m...
Learning the language of protein-protein interactions - Nature Communications
What is an Article in Press?
support.springernature.com
Riboswitches are allosteric RNA molecules that change conformation upon ligand binding to regulate downstream genes. Here, the authors use Restricted Boltzmann machines trained on natural sequences to...
www.nature.com
Designing molecular RNA switches with Restricted Boltzmann machines - Nature Communications
Embedding is a key step in single-cell Hi-C analysis to identify cell states. Here, the authors benchmark 13 embedding methods in 10 scHi-C datasets. They find that data representation, preprocessing ...
www.nature.com
A comprehensive benchmark of single-cell Hi-C embedding tools - Nature Communications
Single-molecule localisation microscopy enables nanoscale mapping of molecular organisation, but clustering stochastic data remains challenging. Here, authors present a graph neural network method tha...
Enhanced spatial clustering of single-molecule localizations with graph neural networks - Nature Communications
doi.org
The alignment of heterogeneous spatial samples has become a growing challenge. Here, authors present a multi-scale, multi-context, and interpretable mapping strategy to map cells across space, time, a...
www.nature.com
Multi-scale and multi-context interpretable mapping of cell states across heterogeneous spatial samples - Nature Communications
Time-varying stimuli that prolong IKK activation promote nuclear remodeling and mechanistic switching of NF-κB dynamics - Nature Communications
Cells rely on limited numbers of transmembrane receptors to process signals from dynamic microenvironments. Using microfluidics and endogenous reporters, the authors track single cells to reveal how t...
www.nature.com