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Cited by 166

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

DNA REPAIR MECHANISMS FOR THE RECOGNITION AND REMOVAL OF DAMAGED DNA BASES

Mol, Clifford D., Parikh, Sudip S., Putnam, Christopher D., Lo, Terence P., Tainer, John A.·1999·Annual Review of Biophysics and Biomolecular Structure

Abstract

Recent structural and biochemical studies have begun to illuminate how cells solve the problems of recognizing and removing damaged DNA bases. Bases damaged by environmental, chemical, or enzymatic mechanisms must be efficiently found within a large excess of undamaged DNA. Structural studies suggest that a rapid damage-scanning mechanism probes for both conformational deviations and local deformability of the DNA base stack. At susceptible lesions, enzyme-induced conformational changes lead to direct interactions with specific damaged bases. The diverse array of damaged DNA bases are processed through a two-stage pathway in which damage-specific enzymes recognize and remove the base lesion, creating a common abasic site intermediate that is processed by damage-general repair enzymes to restore the correct DNA sequence.

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Crossref · 10.1146/annurev.biophys.28.1.101

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Metadata

Authors
Mol, C. D., Parikh, S. S., Putnam, C. D., Lo, T. P., & Tainer, J. A.
Venue
Annual Review of Biophysics and Biomolecular Structure
Published
1999-06
Volume
28
Issue
1
Pages
101-128
ISSN
  • 1056-8700 (ISSN-L)
  • 1545-4266
OpenAlex
W2148493354
Cited by
166
References
2
FWCI
5.87
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: DNA REPAIR MECHANISMS FOR THE RECOGNITION AND REMOVAL OF DAMAGED DNA BASES. https://app.cochat.ai/papers/10.1146/annurev.biophys.28.1.101
The paper
Mol, C. D., Parikh, S. S., Putnam, C. D., Lo, T. P., & Tainer, J. A. (1999). DNA REPAIR MECHANISMS FOR THE RECOGNITION AND REMOVAL OF DAMAGED DNA BASES. Annual Review of Biophysics and Biomolecular Structure. https://doi.org/10.1146/annurev.biophys.28.1.101

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.