HeMoQuest
A webserver for the qualitative prediction of Transient Heme-Binding Motifs
This webpage provides access to HeMoQuest, a computational approach for the prediction of transient heme-binding motifs from protein sequences. HeMoQuest uses the SeqD-HBM[2] algorithm to detect transient heme-binding motifs and a machine learning approach trained on in-house experimental data to predict the heme-binding affinities of the individual motifs.
If you use HeMoQuest in any part of your work, please cite the following publications:
- Paul George, A.A., Lacerda, M., Syllwasschy, B.F., Hopp, M.-T., Wißbrock, A., Imhof, D. (2020) HeMoQuest: A webserver for qualitative prediction of transient heme binding to protein motifs. BMC Bioinformatics, 21, 124
- Wißbrock, A., Paul George, A.A., Brewitz, H. H., Kühl, T., Imhof, D. (2019) The Molecular Basis of Transient Heme-Protein Interactions: Analysis, Concept and Implementation. Biosci. Rep. 39(1), BSR20181940
If you use HeMoQuest with WESA to perform solvent accessibility checks on your sequence please cite the relevant literature as well.
- Chen, H-L and Zhou, H-X. Prediction of solvent accessibility and sites of deleterious mutations from protein sequence. Nucl. Acids Res. 33, 3193-3199 (2005).
- Shan, Y., Wang, G., and Zhou, H.-X. Fold recognition and accurate query-template alignment by a combination of PSI-BLAST and threading. Proteins 42, 23-37 (2001).
Further enhancements to the web interface and the underlying logic are a work in progress.
If our research interests you, please visit our homepage.
HeMoQuest User Input
HeMoQuest Datasets
All datasets used in the development and testing of HeMoQuest are available for download
here.
HeMoQuest Support
For queries regarding HeMoQuest, the usage of this site or about submitted jobs, please write to us at: help.hemoquest@gmail.com.
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