Predictive modeling and x-ray crystallography for mechanistic understanding of GO DNA repair
Martin P Horvath, Melody Malek, Danielle Yama, Carlos Trasviña-Arenas, Sheila S David

TL;DR
The paper explores how predictive modeling and x-ray crystallography help understand DNA repair mechanisms involving OGG1 and MutY enzymes.
Contribution
The study combines predictive modeling and x-ray crystal structures to reveal structural and functional differences in DNA repair enzymes.
Findings
OGG1 accommodates large transition state mimics, while MutY/MUTYH is restricted to smaller ones.
MutYA enzymes from archaea have distinct C-terminal domains compared to MutY/MUTYH.
Colabfold predictions and x-ray structures reveal evolutionary insights into MutY-like enzymes.
Abstract
Background: GO DNA repair protects against mutations that otherwise result from oxidative damage to guanine. The 8-oxo-7,8-dihydro-guanine lesion (OG) pairs with C and A, a source of ambiguity that explains GC → TA mutations when GO DNA repair is compromised. The OG:C lesion is recognized and processed by OGG1 to remove the OG base and thus initiate base excision repair (BER). The OG:A lesion is recognized and processed by MutY/MUTYH to remove the undamaged but information-defective A base. Case study 1: Predictive modeling (prior AlphaFold) and biochemical experiments showed that OGG1 and MutY DNA glycosylases have very different active sites with OGG1 accommodating large, bulky transition state mimics and leaving groups while MutY/MUTYH is by comparison restricted to smaller transition state mimics (Yuen, 2019). We have now determined x-ray crystal structures for OGG1 in complex with…
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Taxonomy
TopicsGraphite, nuclear technology, radiation studies · Machine Learning in Materials Science · Science, Research, and Medicine
