Dari Kimanius

This study quantifies how CpG methylation affects chromatin mechanics, nucleosome wrapping, and condensate properties across multiple scales.

The paper describes a Kaggle challenge for particle picking in cryo-electron tomography, resulting in improved algorithms and highlighting the need for better annotation quality measures.

This paper introduces a crossed laser phase plate (xLPP) for cryoEM, demonstrating improved contrast and resolution in imaging biological samples.

AreTomo3 and DenoisET form an automated GPU pipeline that reconstructs cryo-electron tomograms with tile-based contrast transfer function correction, screens their quality, and denoises them during acquisition.

The paper investigates how the bacterial SMC complex MukBEF loads DNA and how a viral protein inhibits this process through DNA mimicry.

The paper introduces a phantom sample and annotated 3D volumes for a machine learning challenge to improve cryoET volume annotation.

The paper introduces an image processing pipeline for electron cryo-tomography in RELION-5, enabling automated atomic model building from tomographic data.

ModelAngelo combines convolutional and graph neural networks with protein language model embeddings and hidden Markov model searches to automate atomic model building and identify unknown proteins in cryo-EM maps.

This paper introduces a regularisation framework for cryo-EM structure determination using a convolutional neural network trained on known macromolecular structures, showing improved reconstructions on simulated data.

This study determines the structure of favipiravir-RTP bound to SARS-CoV-2 RdRp, revealing its weak incorporation mechanism and low replication suppression.