2019
DOI: 10.1039/c9ra00064j
|View full text |Cite
|
Sign up to set email alerts
|

Computational elucidation of the binding mechanisms of curcumin analogues as bacterial RecA inhibitors

Abstract: A mechanistic insights into bacterial RecA protein as a target for curcumin-like compounds offers a theoretical basis for rational design and development of future antibiotic adjuvants.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
6
0

Year Published

2021
2021
2022
2022

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(6 citation statements)
references
References 79 publications
0
6
0
Order By: Relevance
“…coli and M . tuberculosis (Zhou et al, 2019 ) that suggest designing of hybrid molecules may have emerged as a promising way to target RecA protein. There has been no hybrid inhibitor or denovo designed lead against RecA of A .…”
Section: Discussionmentioning
confidence: 99%
See 2 more Smart Citations
“…coli and M . tuberculosis (Zhou et al, 2019 ) that suggest designing of hybrid molecules may have emerged as a promising way to target RecA protein. There has been no hybrid inhibitor or denovo designed lead against RecA of A .…”
Section: Discussionmentioning
confidence: 99%
“…coli and M . tuberculosis (Zhou et al, 2019) suggesting hybrid molecules may be promising to target RecA protein. Most of the reported inhibitors are designed against RecA of E .…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Similarly, in addition to the ATPase activity center (pocket A), binding events at neighboring pockets such as pocket B and pocket D could modulate RecA protein conformation, with yet unclarified physiological functions. In our previous study (Zhou et al, 2019), structural attributes of the residues in pocket B were analyzed by multiple algorithms. However, none of such residues in pocket B have so far been reported to play significant roles in RecA-related protein-protein interactions.…”
Section: Limitations Of the Studymentioning
confidence: 99%
“…(Leis et al, 2010). Recently, our group successfully applied these approaches to map out RecA protein-binding determinants and predict binders among curcuminoid compounds (Zhou et al, 2019). In this present study, the phylogenetically relevant features within the RecA protein sequence, probabilistically favorable pocketness in the RecA protein structure, and predicted mechanisms underlying interactions between RecA and NPS of interest were scrutinized.…”
Section: Introductionmentioning
confidence: 99%