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DOI: 10.1093/nar/gkp1223
¤ OpenAccess: Green
This work has “Green” OA status. This means it may cost money to access on the publisher landing page, but there is a free copy in an OA repository.

A unified genetic, computational and experimental framework identifies functionally relevant residues of the homing endonuclease I-BmoI

Benjamin P. Kleinstiver,Andrew D. Fernandes,Gregory B. Gloor,David R. Edgell

Homing endonuclease
Biology
Endonuclease
2010
Insight into protein structure and function is best obtained through a synthesis of experimental, structural and bioinformatic data. Here, we outline a framework that we call MUSE (mutual information, unigenic evolution and structure-guided elucidation), which facilitated the identification of previously unknown residues that are relevant for function of the GIY-YIG homing endonuclease I-BmoI. Our approach synthesizes three types of data: mutual information analyses that identify co-evolving residues within the GIY-YIG catalytic domain; a unigenic evolution strategy that identifies hyper- and hypo-mutable residues of I-BmoI; and interpretation of the unigenic and co-evolution data using a homology model. In particular, we identify novel positions within the GIY-YIG domain as functionally important. Proof-of-principle experiments implicate the non-conserved I71 as functionally relevant, with an I71N mutant accumulating a nicked cleavage intermediate. Moreover, many additional positions within the catalytic, linker and C-terminal domains of I-BmoI were implicated as important for function. Our results represent a platform on which to pursue future studies of I-BmoI and other GIY-YIG-containing proteins, and demonstrate that MUSE can successfully identify novel functionally critical residues that would be ignored in a traditional structure-function analysis within an extensively studied small domain of ∼90 amino acids.
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    A unified genetic, computational and experimental framework identifies functionally relevant residues of the homing endonuclease I-BmoI” is a paper by Benjamin P. Kleinstiver Andrew D. Fernandes Gregory B. Gloor David R. Edgell published in 2010. It has an Open Access status of “green”. You can read and download a PDF Full Text of this paper here.