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Nature Computational Science

Профиль Vively

A @natureportfolio.nature.com journal on mathematical models and computational methods/tools that help advance science in multiple disciplines. https://www.nature.com/natcomputsci

An accompanying News & Views for this paper by @ginaelnesr.bsky.social is also available! www.nature.com/articles/s43... #RNASky 🔓https://rdcu.be/fw294

Structural alignments to design functional RNAs - Nature Computational ScienceA new method designs RNA sequences by learning from alignments of structurally similar molecules, producing aptamers and ribozymes that are experimentally validated.www.nature.com
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An accompanying News & Views by Tong Wang is also available for this paper! www.nature.com/articles/s43... 🔓 rdcu.be/ftBie

Protein fitness prediction with language models - Nature Computational ScienceProtein language models are powerful computational tools for protein fitness prediction. The recent investigation into the relationship between model outputs and prediction accuracy reveals the scalin...www.nature.com
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An accompanying News & Views by Nannan Wang and Dayong Jin is also available for this paper! www.nature.com/articles/s43... 🖥️ 🧬 🔓 rdcu.be/fte9e

Spatial transcriptome for cell segmentation - Nature Computational ScienceA diffusion-based multimodal framework called DISSECT leverages transcriptomic gradients to refine segmentation boundaries, enabling high-precision single-cell segmentation even in densely packed regi...www.nature.com
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An accompanying News & Views by Pan Zhang is also available for this paper! www.nature.com/articles/s43... ⚛️ 🔓 rdcu.be/fq2Y1

Setting benchmarks for practical quantum utility of combinatorial optimization - Nature Computational ScienceA new library of combinatorial optimization problems provides a standardized testing ground to rigorously compare quantum and classical algorithms, paving the way for demonstrating quantum utility.www.nature.com
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An accompanying News & Views by Han Chen is also available! www.nature.com/articles/s43... 🖥️ 🧬 🔓 rdcu.be/foILa

Testing longitudinal gene–environment interactions - Nature Computational ScienceA gene–environment interaction test (SAGELD) is developed to speed up large-scale genome-wide analyses using longitudinal data, facilitating novel discoveries on genetic variants that modify the effec...www.nature.com
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An accompanying News & Views by Qi R. Wang is also available! www.nature.com/articles/s43... #cssky 🔓 rdcu.be/fowxY

Reconstructing urban mobility from the built environment - Nature Computational ScienceUnderstanding how people move through cities is essential for public health and urban planning, yet most cities worldwide lack reliable mobility data. A new model reconstructs these movement patterns ...www.nature.com
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An accompanying News & Views for this paper by @jiayu-peng.bsky.social is also available! www.nature.com/articles/s43... 🔓 rdcu.be/fl8fo

Elevating universal interatomic potentials with large-scale off-equilibrium data - Nature Computational ScienceThe Open Materials 2024 dataset provides a large-scale, open-access collection of quantum-chemical atomistic simulations that encompasses diverse off-equilibrium crystal structures, thereby making mac...www.nature.com
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An accompanying News & Views by Chengxuan Chen and Leng Han is also available for this paper! www.nature.com/articles/s43... #RNASky 🖥️ 🧬 🔓 rdcu.be/fjzK3

Modeling context-dependent RNA splicing by deep learning - Nature Computational ScienceA framework called HELIX provides a strategy for predicting full-length transcript isoform usage across diverse biological contexts by integrating sequence features with RNA-binding protein expression...www.nature.com
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An accompanying News & Views by Michael D. Shields and Somdatta Goswami is also available for this paper! www.nature.com/articles/s43... 🔓 rdcu.be/ffRIt

Merging the classical and the modern in physics-based simulations - Nature Computational ScienceEngineering simulations traditionally rely on finite element methods, which are accurate but computationally expensive, while scientific machine learning offers faster, data-driven alternatives. The r...www.nature.com
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