ROCKET improves experimental structure elucidation by integrating implicit structural knowledge from OpenFold, a trainable reimplementation of AlphaFold2, with X-ray crystallographic and cryo-electron microscopy experiments.

CREsted is an efficient and user-friendly toolbox for analysis, modeling and design of cell-type-specific enhancers across diverse species.

We demystify the appeals process at Nature Methods.

A nascent group of researchers sees planetary health as an urgent reason to bridge the molecular and planetary scales. This is shaping their strategies, methods, collaborations and outlook about their fields.

FILM is a mid-infrared photothermal microscopy variant that involves optical boxcar demodulation-based illumination, denoising and spectral deconvolution. Its relatively gentle nature allows imaging of metabolic processes in organelles in cell culture as well as in Caenorhabditis elegans.

\({\rm{Micro}}{\mathbb{S}}{\rm{plit}}\) is a computational unmixing method for multiplexed fluorescence imaging of up to four structures per imaging channel.

UDMT is a multi-animal tracker for behavioral research that is based on a transformer architecture, which negates the need for manually annotated training data. UDMT is showcased on datasets encompassing mice, rats, Drosophila, C. elegans and betta fish.

This study investigates technical noise in Xenium spatial transcriptomics data, including transcript spillover, and introduces SPLIT to resolve mixed signals and enhance cell-type specificity.

eSIG-Net is an interaction language model that predicts the effects of mutations on protein interaction.

Single-molecule localization and diffusivity microscopy (SMLDM) integrates deep learning with diffusion theory and super-resolution imaging to extract single-molecule diffusivity and localization information from single-molecule snapshots, generating insights into dynamic biological processes such as chromatin activity, focal adhesions, GPCR drug response and phase separation.

It is not certain that everything is uncertain. —Blaise Pascal

AI agent systems are now being built on top of large language models, and they can conduct autonomous analyses. Choosing among the offerings takes a balance of curiosity, excitement and skepticism.

Researchers often have to move — within their country or across the world. Packing up and moving an established lab is a logistic and emotional challenge.