2015
DOI: 10.1016/j.jmgm.2015.04.010
|View full text |Cite
|
Sign up to set email alerts
|

Computational fishing of new DNA methyltransferase inhibitors from natural products

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
22
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
4
3

Relationship

1
6

Authors

Journals

citations
Cited by 30 publications
(22 citation statements)
references
References 99 publications
0
22
0
Order By: Relevance
“…The materials and methods described in this study were modified from the studies by Yanuar et al, Syahdi et al, and Maldonado-Rojas et al [11,25,26]. A three-dimensional structure of DNMT1, positive and negative control compounds, and active herbal compounds contained in the HerbalDB were used in this study.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…The materials and methods described in this study were modified from the studies by Yanuar et al, Syahdi et al, and Maldonado-Rojas et al [11,25,26]. A three-dimensional structure of DNMT1, positive and negative control compounds, and active herbal compounds contained in the HerbalDB were used in this study.…”
Section: Methodsmentioning
confidence: 99%
“…The recent studies have focused on the finding non-nucleoside analog inhibitor candidates from natural sources [8,9]. Natural products are promising non-nucleoside DNMTi candidates because of their relatively low toxicity and high structural diversity [10,11]. The potential of several natural products has been studied; these products have included curcumin [12], epigallocatechin (EGCG) [13], genistein [14], caffeic acid [15], psammaplin A [16], mahanine [17], and laccaic acid [16].…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…The molecular parameters used were the following: a grid spacing of 1.000 Å; box size dimensions of Docking validation with biological data. The docking protocol was validated using a test set of 40 molecules, including active and inactive reported inhibitors against dengue virus, as well as reported inhibitors for proteases from other viruses, for comparative purposes [30]. For dengue inhibitors, molecules with IC 50 values less than 15 µM were chosen.…”
Section: In Silico Studiesmentioning
confidence: 99%