2021
DOI: 10.1007/978-1-0716-1826-4_6
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Using the Evolutionary History of Proteins to Engineer Insertion-Deletion Mutants from Robust, Ancestral Templates Using Graphical Representation of Ancestral Sequence Predictions (GRASP)

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Cited by 14 publications
(16 citation statements)
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References 43 publications
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“…Thus, we identified the ancestral nodes where the protein acquired/lost remote loops and inferred functional ancestral proteins with different loop combinations (InDels). As previous studies [27][28][29] demonstrated that InDels in loop regions are highly tolerated, our ancestral proteins showed robustness to add/remove loops. Thus, we demonstrate that ancestral sequence reconstruction approach in enzyme family with structural variations in loop regions is useful for designing enzyme with different loop combinations and exploring the potential remote site for loop engineering.…”
Section: Discussionsupporting
confidence: 66%
“…Thus, we identified the ancestral nodes where the protein acquired/lost remote loops and inferred functional ancestral proteins with different loop combinations (InDels). As previous studies [27][28][29] demonstrated that InDels in loop regions are highly tolerated, our ancestral proteins showed robustness to add/remove loops. Thus, we demonstrate that ancestral sequence reconstruction approach in enzyme family with structural variations in loop regions is useful for designing enzyme with different loop combinations and exploring the potential remote site for loop engineering.…”
Section: Discussionsupporting
confidence: 66%
“…The tree and alignment were submitted to Graphical Representation of Ancestral Sequence Predictions (GRASP; Foley 2022 ) to infer a series of ancestors using a maximum likelihood, joint reconstruction approach. GRASP models insertion and deletion events via the inference of a partial order graph at each ancestor, representing the inclusion/exclusion of sequence by “jumps” (edges) between positions determined by the original input alignment ( Foley 2022 ; Ross et al 2022 ). Although content is determined by maximum likelihood, inference of edges for an ancestor is based on maximum parsimony.…”
Section: Resultsmentioning
confidence: 99%
“…The archaeal branch was used as an outgroup to root the ML tree. The joint reconstructions of all ancestral nodes were calculated with the GRASP (Graphical representation of ancestral sequence predictions) web server (62) using the Jones-Taylor-Thornton (JTT) evolutionary model.…”
Section: Methodsmentioning
confidence: 99%