2022
DOI: 10.1101/2022.11.22.517515
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Exaptation of inactivated host enzymes for structural roles in orthopoxviruses and novel protein folds revealed by protein structure modeling

Abstract: Viruses with large double-stranded DNA genomes appear to have captured the majority of their genes from the hosts at different stages of evolution. The origin of many virus genes is readily detected through highly significant sequence similarity with cellular homologs. This is the case, in particular, for virus enzymes, such as DNA and RNA polymerases or nucleotide kinases, that retain their catalytic activity after capture by an ancestral virus. However, a large fraction of virus genes have no readily detecta… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2023
2023
2023
2023

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 79 publications
0
1
0
Order By: Relevance
“…Recent advances in structural modeling such as implemented in AlphaFold2 9 have the potential to bridge this gap, and the utility of this breakthrough in identifying cryptic homology is already being appreciated. For example, ab initio modeling has been used to broadly identify pathogen mimics of host proteins 10 , to identify evolutionary connections among pathogen effectors 11 , to expand an understanding of immunoglobulin gene family evolution 12 , and to provide insight into the distant cellular origins of structural proteins found in viruses 13 . In this study, we use AlphaFold to enable searches for hidden homology in viral proteomes and test its ability to inform the mechanistic study of host-pathogen interfaces.…”
Section: Introductionmentioning
confidence: 99%
“…Recent advances in structural modeling such as implemented in AlphaFold2 9 have the potential to bridge this gap, and the utility of this breakthrough in identifying cryptic homology is already being appreciated. For example, ab initio modeling has been used to broadly identify pathogen mimics of host proteins 10 , to identify evolutionary connections among pathogen effectors 11 , to expand an understanding of immunoglobulin gene family evolution 12 , and to provide insight into the distant cellular origins of structural proteins found in viruses 13 . In this study, we use AlphaFold to enable searches for hidden homology in viral proteomes and test its ability to inform the mechanistic study of host-pathogen interfaces.…”
Section: Introductionmentioning
confidence: 99%