PDBcor: An automated correlation extraction calculator for multi-state protein structures
Structure, ISSN: 0969-2126, Vol: 30, Issue: 4, Page: 646-652.e2
2022
- 5Citations
- 19Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations5
- Citation Indexes5
- CrossRef2
- Captures19
- Readers19
- 19
Article Description
Allostery and correlated motion are key elements linking protein dynamics with the mechanisms of action of proteins. Here, we present PDBCor, an automated and unbiased method for the detection and analysis of correlated motions from experimental multi-state protein structures. It uses torsion angle and distance statistics and does not require any structure superposition. Clustering of protein conformers allows us to extract correlations in the form of mutual information based on information theory. With PDBcor, we elucidated correlated motion in the WW domain of PIN1, the protein GB3, and the enzyme cyclophilin, in line with reported findings. Correlations extracted with PDBcor can be utilized in subsequent assays including nuclear magnetic resonance (NMR) multi-state structure optimization and validation. As a guide for the interpretation of PDBcor results, we provide a series of protein structure ensembles that exhibit different levels of correlation, including non-correlated, locally correlated, and globally correlated ensembles.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0969212621004548; http://dx.doi.org/10.1016/j.str.2021.12.002; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85127361595&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/34963060; https://linkinghub.elsevier.com/retrieve/pii/S0969212621004548; https://dx.doi.org/10.1016/j.str.2021.12.002
Elsevier BV
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