2019
DOI: 10.1101/563452
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Evolutionary model of protein secondary structure capable of revealing new biological relationships

Abstract: AbstractAncestral sequence reconstruction has had recent success in decoding the origins and the determinants of complex protein functions. However, phylo­genetic analyses of remote homologues must handle extreme amino-acid se­quence diversity resulting from extended periods of evolutionary change. We exploited the wealth of protein structures to develop an evolutionary model based on protein secondary structure. The approach follows the differences between discrete secondary s… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2019
2019

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 38 publications
0
1
0
Order By: Relevance
“…To analyze the prevalence of NAD + cleavage activities among TIR domains and the relationships with enzymes such as MilB, we used a recently developed evolutionary model that is based on secondary structure (29) to construct a phylogeny of proteins structurally similar to hSARM1 TIR and plant TIR domains [fig. S27; for protein families with limited sequence similarities, such as the TIR domains, phylogenetic analyses using sequence-based evolutionary models are not reliable (30)].…”
Section: Bioinformatic Analysis Of Tir Domainsmentioning
confidence: 99%
“…To analyze the prevalence of NAD + cleavage activities among TIR domains and the relationships with enzymes such as MilB, we used a recently developed evolutionary model that is based on secondary structure (29) to construct a phylogeny of proteins structurally similar to hSARM1 TIR and plant TIR domains [fig. S27; for protein families with limited sequence similarities, such as the TIR domains, phylogenetic analyses using sequence-based evolutionary models are not reliable (30)].…”
Section: Bioinformatic Analysis Of Tir Domainsmentioning
confidence: 99%