Jerry O Ebalunode
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Explore the profile of Jerry O Ebalunode including associated specialties, affiliations and a list of published articles.
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13
Citations
61
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Recent Articles
1.
Fannin S, Rangel J, Bodurin A, Yu T, Mistretta B, Mali S, et al.
Microbiologyopen
. 2021 Mar;
10(1):e1154.
PMID: 33650800
Membrane proteins represent major drug targets, and the ability to determine their functions, structures, and conformational changes will significantly advance mechanistic approaches to both biotechnology and bioremediation, as well as...
2.
Karaboga H, Huang W, Srivastava S, Widmann S, Addanki S, Gamage K, et al.
ACS Chem Biol
. 2020 Oct;
15(11):2916-2928.
PMID: 33074669
Pancreatic ductal adenocarcinoma (PDAC) is the predominant form of pancreatic cancer. PDACs harbor oncogenic mutations in the gene, and ongoing efforts to directly target its mutant protein product to inhibit...
3.
Liu Y, Ebalunode J, Briggs J
J Mol Graph Model
. 2019 Feb;
88:104-120.
PMID: 30703686
Quorum sensing is a cell to cell signaling mechanism that enables them to coordinate their behaviors in a density-dependent manner mediated by small diffusible signaling molecules, which can control the...
4.
Ebalunode J, Zheng W
Mol Inform
. 2016 Jul;
29(12):871-81.
PMID: 27464351
Short interfering RNA mediated gene silencing technology has been through tremendous development over the past decade, and has found broad applications in both basic biomedical research and pharmaceutical development. Critical...
5.
Dong X, Ebalunode J, Yang S, Zheng W
Curr Comput Aided Drug Des
. 2011 Jul;
7(3):181-9.
PMID: 21726192
The intuitive nature of the pharmacophore concept has made it widely accepted by the medicinal chemistry community, evidenced by the past 3 decades of development and application of computerized pharmacophore...
6.
Application of QSAR and shape pharmacophore modeling approaches for targeted chemical library design
Ebalunode J, Zheng W, Tropsha A
Methods Mol Biol
. 2010 Oct;
685:111-33.
PMID: 20981521
Optimization of chemical library composition affords more efficient identification of hits from biological screening experiments. The optimization could be achieved through rational selection of reagents used in combinatorial library synthesis....
7.
Ebalunode J, Jagun C, Zheng W
Methods Mol Biol
. 2010 Sep;
672:341-58.
PMID: 20838976
This chapter surveys the literature for state-of-the-art methods for the rational design of siRNA libraries. It identifies and presents major milestones in the field of computational modeling of siRNA's gene...
8.
Ebalunode J, Zheng W
Curr Top Med Chem
. 2010 Mar;
10(6):669-79.
PMID: 20337591
Shape complementarity is a critically important factor in molecular recognition among drugs and their biological receptors. The notion that molecules with similar 3D shapes tend to have similar biological activity...
9.
Dong X, Ebalunode J, Cho S, Zheng W
J Chem Inf Model
. 2010 Jan;
50(2):240-50.
PMID: 20095527
Quantitative structure-activity relationship (QSAR) methods aim to build quantitatively predictive models for the discovery of new molecules. It has been widely used in medicinal chemistry for drug discovery. Many QSAR...
10.
Ebalunode J, Dong X, Ouyang Z, Liang J, Eckenhoff R, Zheng W
Bioorg Med Chem
. 2009 Jun;
17(14):5133-8.
PMID: 19520579
Current anesthetics, especially the inhaled ones, have troublesome side effects and may be associated with durable changes in cognition. It is therefore highly desirable to develop novel chemical entities that...