2016
DOI: 10.1021/acs.biochem.5b01193
|View full text |Cite
|
Sign up to set email alerts
|

Improving Functional Annotation in the DRE-TIM Metallolyase Superfamily through Identification of Active Site Fingerprints

Abstract: Within the DRE-TIM metallolyase superfamily, members of the Claisen-like condensation (CC-like) subgroup catalyze C-C bond-forming reactions between various α-ketoacids and acetyl-coenzyme A. These reactions are important in the metabolic pathways of many bacterial pathogens and serve as engineering scaffolds for the production of long-chain alcohol biofuels. To improve functional annotation and identify sequences that might use novel substrates in the CC-like subgroup, a combination of structural modeling and… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
15
0

Year Published

2017
2017
2024
2024

Publication Types

Select...
7
1

Relationship

0
8

Authors

Journals

citations
Cited by 13 publications
(15 citation statements)
references
References 37 publications
0
15
0
Order By: Relevance
“…Using EFI-EST, SSNs can be constructed for Pfam and/or InterPro families (and/or user-defined sets of sequences). SSNs generated by EFI-EST [16] have been used in more than 100 publications, providing examples of the types of analyses in which SSNs have been leveraged [1729]. In many studies SSNs are used to organize protein superfamilies into isofunctional groups using node attributes, thereby focusing sequence-function analyses and functional assignment to uncharacterized orthologous groups; in other studies SS s are used to segregate protein families into groups that differ by mechanistically important sequence signature motifs.…”
Section: Sequence Similarity Network (Ssns): Sequence-function Spacementioning
confidence: 99%
“…Using EFI-EST, SSNs can be constructed for Pfam and/or InterPro families (and/or user-defined sets of sequences). SSNs generated by EFI-EST [16] have been used in more than 100 publications, providing examples of the types of analyses in which SSNs have been leveraged [1729]. In many studies SSNs are used to organize protein superfamilies into isofunctional groups using node attributes, thereby focusing sequence-function analyses and functional assignment to uncharacterized orthologous groups; in other studies SS s are used to segregate protein families into groups that differ by mechanistically important sequence signature motifs.…”
Section: Sequence Similarity Network (Ssns): Sequence-function Spacementioning
confidence: 99%
“…56 (F) SSNs for members of the DRE-TIM metallolyase superfamily. 52 Figures reproduced with permission from refs (40), (43), (52), (56), (60), and (76). …”
Section: Applications Of Ssnsmentioning
confidence: 99%
“…IPMSs and MAMs both condensate 2-oxo acids with acetyl-CoA, which places them in the Claisen-like condensation (CC-like) subgroup of the DRE-TIM metallolyase superfamily [13]. Two IPMS enzymes have been crystallised from this subgroup: Mycobacterium tuberculosis (MtIPMS, [14] and Neisseria meningitidis (NmIPMS, [15].…”
Section: Introductionmentioning
confidence: 99%