LDDT Structural Comparison
Evaluate protein structure quality with a superposition-free local distance difference score
Overview
LDDT (Local Distance Difference Test) is a superposition-free score for assessing local and global structural similarity between protein models and reference structures. Unlike alignment-based metrics, LDDT compares interatomic distance differences, making it robust against domain movements and ideal for evaluating model accuracy without the need for structural superposition.
Run LDDT Structural Comparison on Neurosnap
The LDDT Structural Comparison online webserver allows anybody with a Neurosnap account to run and access LDDT Structural Comparison, no downloads required. Information submitted through this webserver is kept confidential and never sold to third parties as detailed by our strong Terms of Use and Privacy Policy.
Features
- Provides a superposition-free comparison of protein models and reference structures.
- Measures both local and global structural quality using interatomic distance differences.
- Robust against domain movements, making it suitable for flexible and multi-domain proteins.
- Enables reliable assessment of protein models in CASP and related benchmarking studies.
Statistics
Neurosnap periodically calculates runtime statistics based on job execution data. These estimates provide a general guideline for how long your job may take, but actual runtimes can vary significantly depending on factors like input size or settings used.
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API Request
Access LDDT Structural Comparison using the Neurosnap API by sending a request using any programming language with HTTP support. To safely generate an API key, visit the API tab of your overview page.
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Citations
Please cite the original work when using LDDT Structural Comparison in publications or research outputs.
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Valerio Mariani, Marco Biasini, Alessandro Barbato, Torsten Schwede, lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests, Bioinformatics, Volume 29, Issue 21, November 2013, Pages 2722–2728, https://doi.org/10.1093/bioinformatics/btt473 |
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Neurosnap Inc. (2022). Neurosnap: An online platform for computational biology and chemistry. Available at: https://neurosnap.ai/ |