Ligand identification in CryoEM and X-ray maps using deep learning

Code and model weights are available on GitHub at https://github.com/jkarolczak/ligands-classification. An accompanying ChimeraX bundle is available at https://github.com/wtaisner/chimerax-ligand-recognizer.

Authors

Institutions

Publication Details

Journal
Bioinformatics
Published
2024-12-17
DOI
https://doi.org/10.1093/bioinformatics/btae749
Citations
6
Primary Topic
Machine Learning in Materials Science
Type
article
Field-Weighted Citation Impact
0.70

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Ligand identification in CryoEM and X-ray maps using deep learning

John M. Heumann, Michael H. B. Stowell, Dariusz Brzeziński, Michał Nowicki et al.
6 citations
Bioinformatics
Machine Learning in Materials Science
0.70
article

Ligand identification in CryoEM and X-ray maps using deep learning

John M. Heumann, Michael H. B. Stowell, Dariusz Brzeziński, Michał Nowicki, Jacek Karolczak, Anna Przybyłowska, Konrad Szewczyk, Witold Taisner
article en
6 citations

Abstract

Code and model weights are available on GitHub at https://github.com/jkarolczak/ligands-classification. An accompanying ChimeraX bundle is available at https://github.com/wtaisner/chimerax-ligand-recognizer.

BioinformaticsVol. 41(1)
University of Colorado Boulder (US), Poznań University of Technology (PL)
National Institutes of Health, University of Colorado Boulder
Openalex Percentile: Top 29%
Machine Learning in Materials Science
0.70
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.