In Silico Drug Design Targeting RNA Repeat Expansions
In Silico Drug Design Targeting RNA Repeat Expansions
批准号:
10796593
负责人:
Ilyas Yildirim
金额:
$9.04万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-04-01 至 2025-03-31
关键词:
BindingBiological ProcessCatalysisCollaborationsComplexComputing MethodologiesDiseaseDrug DesignEnvironmentFragile X SyndromeGene ExpressionHeritabilityHuntington DiseaseJupiterLigandsMethodsMolecular ChaperonesMyotonic DystrophyNucleic AcidsPharmacotherapyPhysicsPilot ProjectsPropertyProteinsRNARNA-Induced Silencing ComplexResearchResearch InstituteSeriesTherapeuticTrainingTranscriptcareer developmentcomputerized toolsdesignfunctional groupgraduate studentimprovedin silicolead optimizationnovelprotein foldingresponsible research conductsmall moleculeundergraduate student
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Project Summary.
RNA orchestrates how critical biological functions are controlled, including catalysis, gene expression,
enzymatic activities, and protein folding. Misregulation of gene expression cause dysregulation of RNA, which
cause many heritable diseases such as Myotonic Dystrophy, Huntington’s disease, and Fragile X Syndrome
caused by RNA transcripts that contain expanded repeats. The proposal seeks to create unique computational
tools to investigate interaction of small molecules and ligands with dynamic RNA loops and to optimize lead
compounds targeting RNA repeat expansions via inclusion of functional groups. Results will be used to
facilitate drug design targeting RNA.
Through a series of pilot studies, I have demonstrated how a more precise RNA force field improves the
predictions. The objective of this proposal is to utilize this state-of-art RNA force field jointly with ever-
increasing computational power to provide unique solutions in RNA-targeting pharmacotherapies. In Aim 1, a
physics-based novel method will be created to predict the binding properties of small molecules targeting
dynamic RNA loops. In Aim 2, I propose to develop a computational tool to optimize the binding properties of
small molecules targeting RNA repeats via inclusion of functional groups. In Aim 3, design principles of artificial
ligands targeting RNA repeats will be discovered using computational methods.
This project will dramatically expand our understanding on how RNA loops fold and interact with small
molecules and ligands. It will also have broader and potentially therapeutic implications for understanding RNA
molecule interaction with other types of proteins such as the RNA-induced silencing complex, nucleic acid
chaperones, and RNP complexes. This proposal takes advantage of a collaboration with Scripps Research
Institute (Jupiter, FL). Furthermore, the research environment will provide numerous opportunities for career
development of undergraduate and graduate students through national research presentations, collaborations,
and training in the responsible conduct of research.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI:
10.1093/nar/gkad403
发表时间:
2023-06-23
期刊:
Nucleic acids research
影响因子:
14.9
作者:
[]
通讯作者:
Evaluating Geometric Definitions of Stacking for RNA Dinucleoside Monophosphates Using Molecular Mechanics Calculations.
使用分子力学计算评估 RNA 二核苷单磷酸堆积的几何定义。
DOI:
10.1021/acs.jctc.2c00178
发表时间:
2022
期刊:
Journal of chemical theory and computation
影响因子:
5.5
作者:
[Taghavi,Amirhossein, Riveros,Ivan, Wales,DavidJ, Yildirim,Ilyas]
通讯作者:
Yildirim,Ilyas
In Silico Drug Design Targeting RNA Repeat Expansions
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批准号:10439166
-
项目类别:
-
资助金额:$41.95万
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财政年份:2022
-
负责人:Ilyas Yildirim
-
依托单位:
海外基金