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THEMATICS: A simple computational predictor of enzyme function from structure

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Ondrechen, Mary Jo, Clifton, James G., Ringe, Dagmar·2001·Proceedings of the National Academy of Sciences

Abstract

We show that theoretical microscopic titration curves (THEMATICS) can be used to identify active-site residues in proteins of known structure. Results are featured for three enzymes: triosephosphate isomerase (TIM), aldose reductase (AR), and phosphomannose isomerase (PMI). We note that TIM and AR have similar structures but catalyze different kinds of reactions, whereas TIM and PMI have different structures but catalyze similar reactions. Analysis of the theoretical microscopic titration curves for all of the ionizable residues of these proteins shows that a small fraction (3–7%) of the curves possess a flat region where the residue is partially protonated over a wide pH range. The preponderance of residues with such perturbed curves occur in the active site. Additional results are given in summary form to show the success of the method for proteins with a variety of different chemistries and structures.

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Metadata

Authors
Ondrechen, M. J., Clifton, J. G., & Ringe, D.
Venue
Proceedings of the National Academy of Sciences
Published
2001-10-16
Volume
98
Issue
22
Pages
12473-12478
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2045110975
Cited by
226
References
0
FWCI
3.91
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: THEMATICS: A simple computational predictor of enzyme function from structure. https://app.cochat.ai/papers/10.1073/pnas.211436698
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Ondrechen, M. J., Clifton, J. G., & Ringe, D. (2001). THEMATICS: A simple computational predictor of enzyme function from structure. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.211436698

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