Citing AlloMAPS

Tan, Z. W., Tee, W. V., Guarnera, E., Booth, L. & Berezovsky, I. N. AlloMAPS: allosteric mutation analysis and polymorphism of signaling database Nucleic Acids Research, Volume 47, Issue D1, D265–D270 (2019).



References

Structure-Based Statistical Mechanical Model

Guarnera, E. & Berezovsky, I. N. Structure-Based Statistical Mechanical Model Accounts for the Causality and Energetics of Allosteric Communication. PLoS Comput Biol 12, e1004678 (2016).

Allosteric mutation

Kurochkin, I. V., Guarnera, E., Wong, J. H., Eisenhaber, F. & Berezovsky, I. N. Toward Allosterically Increased Catalytic Activity of Insulin-Degrading Enzyme against Amyloid Peptides. Biochemistry 56, 228–239 (2017).

Identifying, inducing and tuning targeted allosteric response

Tee, W. V., Guarnera, E. & Berezovsky, I. N. Reversing allosteric communication: from detecting allosteric sites to inducing and tuning targeted allosteric response. PLoS Comput Biol 14, e1006228 (2018).

Web-server for allosteric and mutation analysis

Guarnera, E., Tan, Z. W., Zheng, Z. & Berezovsky, I. N. AlloSigMA: allosteric signaling and mutation analysis server. Bioinformatics 33, 3996–3998 (2017).

Tan, Z. W., Guarnera, E., Tee, W. V. & Berezovsky, I. N. AlloSigMA 2: paving the way to designing allosteric effectors and to exploring allosteric effects of mutations Nucleic Acids Research, Volume 48, Issue W1 W116–W124 (2020).

Allosteric Modulation and Allosteric Signaling Maps

Guarnera, E. & Berezovsky, I. N. Towards comprehensive allosteric control over protein activity. Structure, Volume 27, Issue 5, 866-878.e1 (2019).

Allosteric Polymorphism

Tee, W. V., Guarnera, E. & Berezovsky, I. N. On the Allosteric Effect of nsSNPs and the Emerging Importance of Allosteric Polymorphism (2018). Journal of Molecular Biology Volume 431, Issue 19, 3933-3942 (2019).

Allosteric Fingerprints

Tee, W. V., Tan, Z. W., Guarnera, E. & Berezovsky, I. N. Conservation and Diversity in Allosteric Fingerprints of Proteins for Evolutionary-inspired Engineering and Design (2022). Journal of Molecular Biology 434 (17), 167577 (2022)

Supported web browsers

This database has been tested on the following browsers:

  • Mozilla Firefox Version 100+
  • Google Chrome Version 102+

For optimal browsing experience, we recommend using Firefox Version 100 and higher.

Contact information

For technical issues, please contact the webmaster.

Data visualization packages

Protein structures are visualized using the PV package: DOI 10.5281/zenodo.20980

Allosteric Signaling Maps are generated, and may be modified, using Plotly.js: Plotly Technologies Inc. Collaborative data science. Montréal, QC, 2015