CAREER: Combined Computational and Experimental Approaches for the Design of Protein-Protein Interactions
职业:蛋白质-蛋白质相互作用设计的计算和实验相结合的方法
基本信息
- 批准号:0448670
- 负责人:
- 金额:$ 65.56万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2005
- 资助国家:美国
- 起止时间:2005-01-01 至 2013-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Molecular self-assembly is the spontaneous association of molecules into stable, structurally well-defined complexes joined by noncovalent bonds. The objective of this CAREER project is to understand and ultimately control the forces that drive protein self-assembly. To achieve this aim, the PI will use an inverse approach that combines cutting-edge computational docking methods with advanced protein design algorithms to drive the self-assembly of previously monomeric proteins. The proteins will be computationally docked together and then treated as one where interfacial side chains are mutated and repacked in a manner analogous to the core of a well-folded protein. The goal is to select the specific amino acids that, upon mutation, will provide the physical chemical interactions that drive complex formation. To complement these efforts powerful experimental techniques will be employed that function to screen combinatorial libraries of mutant candidate proteins for those that bind target proteins with high affinity. This CAREER project will contribute to the development of the PI as a teacher-scholar as it incorporates educational programs for undergraduate, graduate, postgraduate and middle/high school students. In addition to the above research efforts a laboratory course is being developed that is meant to provide students with a firm understanding of the chemical and biological principles that underlie the emerging field of forensics science. The educational impact of this research is exemplified by the fact that the PI is working collaboratively with San Diego County agencies to develop a series of inquiry-based lab modules for a pilot program in which students from underserved areas explore basic methods used in forensic science. The merit of this educational aim is to instill in youth the lifelong desire to learn and thereby succeed.
分子自组装是分子自发结合成稳定的、结构明确的、由非共价键连接的复合物。这个CAREER项目的目标是理解并最终控制驱动蛋白质自组装的力量。为了实现这一目标,PI将使用一种逆向方法,将尖端的计算对接方法与先进的蛋白质设计算法相结合,以驱动先前单体蛋白质的自组装。这些蛋白质将被计算地停靠在一起,然后作为一个界面侧链发生突变并以类似于折叠良好的蛋白质核心的方式重新包装的蛋白质来处理。目标是选择特定的氨基酸,在突变时,将提供驱动复杂形成的物理化学相互作用。为了补充这些努力,将采用强大的实验技术来筛选具有高亲和力结合靶蛋白的突变候选蛋白的组合文库。这个职业项目将有助于PI作为教师学者的发展,因为它包含了本科生,研究生,研究生和初高中学生的教育计划。除了上述研究工作外,正在开发一门实验课程,旨在为学生提供对作为新兴法医学领域基础的化学和生物学原理的牢固理解。这项研究的教育影响体现在PI与圣地亚哥县机构合作开发一系列基于探究的实验模块,用于一个试点项目,在这个项目中,来自服务不足地区的学生探索法医学的基本方法。这种教育目的的优点在于向青年灌输终身求知从而取得成功的愿望。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
John Love其他文献
Splicing of optical waveguides with lossless graded-index tapers
- DOI:
10.1007/bf00635751 - 发表时间:
1988-11-01 - 期刊:
- 影响因子:4.000
- 作者:
Derek Bertilone;John Love;Colin Pask - 通讯作者:
Colin Pask
The Stable Limit of Moduli Spaces of Polygons
多边形模空间的稳定极限
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
John Love - 通讯作者:
John Love
How clumpy is my image?
我的图像有多块状?
- DOI:
10.1007/s00500-014-1303-z - 发表时间:
2014 - 期刊:
- 影响因子:4.1
- 作者:
Hugo Hutt;R. Everson;Murray Grant;John Love;George R. Littlejohn - 通讯作者:
George R. Littlejohn
Bound modes of holey slab waveguides
- DOI:
10.1007/s11082-007-9078-4 - 发表时间:
2007-06-15 - 期刊:
- 影响因子:4.000
- 作者:
John Love;Céline Durniak - 通讯作者:
Céline Durniak
Assessment of Iron(III) chloride as a catalyst for the production of hydrogen from the supercritical water gasification of microalgae
- DOI:
10.1016/j.nxener.2024.100198 - 发表时间:
2025-01-01 - 期刊:
- 影响因子:
- 作者:
Kieran Heeley;Rafael L. Orozco;Imogen Sheppard;Lynne E. Macaskie;John Love;Bushra Al-Duri - 通讯作者:
Bushra Al-Duri
John Love的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('John Love', 18)}}的其他基金
Day Length Signalling and Crosstalk Between Cytoplasmic and Chloroplastic Calcium Oscillations in Arabidopsis thaliana
拟南芥细胞质和叶绿体钙振荡之间的日长信号传导和串扰
- 批准号:
BB/E002692/1 - 财政年份:2007
- 资助金额:
$ 65.56万 - 项目类别:
Research Grant
Instructional Scientific Equipment Program
教学科学设备计划
- 批准号:
7711039 - 财政年份:1977
- 资助金额:
$ 65.56万 - 项目类别:
Standard Grant
相似海外基金
Data-driven design of Next Generation Cross-Coupling catalysts by Ligand Parameterisation: A Combined Experimental and Computational Approach.
通过配体参数化进行下一代交叉偶联催化剂的数据驱动设计:实验和计算相结合的方法。
- 批准号:
2896325 - 财政年份:2023
- 资助金额:
$ 65.56万 - 项目类别:
Studentship
Tackling the functional role of multisensory interactions in behavioural benefits: A combined EEG and computational modelling approach
解决多感官交互在行为益处中的功能作用:脑电图和计算建模相结合的方法
- 批准号:
2885836 - 财政年份:2023
- 资助金额:
$ 65.56万 - 项目类别:
Studentship
Combined In vitro Experimental and Computational Approaches for Predicting the Identity and Behaviour of Protein Corona-Adsorbed Nanoparticles
结合体外实验和计算方法来预测蛋白质电晕吸附纳米颗粒的特性和行为
- 批准号:
RGPIN-2020-05679 - 财政年份:2022
- 资助金额:
$ 65.56万 - 项目类别:
Discovery Grants Program - Individual
Deficits of the Early Visual System in Schizophrenia, a Combined Psychophysical, Computational, and Neuroimaging Approach
精神分裂症早期视觉系统的缺陷,综合心理物理学、计算和神经影像学方法
- 批准号:
10447941 - 财政年份:2022
- 资助金额:
$ 65.56万 - 项目类别:
Combined synthesis and computational search for new correlated electronic materials
新型相关电子材料的联合合成和计算搜索
- 批准号:
2713498 - 财政年份:2022
- 资助金额:
$ 65.56万 - 项目类别:
Studentship
Deficits of the Early Visual System in Schizophrenia, a Combined Psychophysical, Computational, and Neuroimaging Approach
精神分裂症早期视觉系统的缺陷,综合心理物理学、计算和神经影像学方法
- 批准号:
10697353 - 财政年份:2022
- 资助金额:
$ 65.56万 - 项目类别:
CAJAL: A computational framework for the combined morphometric, transcriptomic, and physiological analysis of cells
CAJAL:细胞形态学、转录组学和生理学综合分析的计算框架
- 批准号:
10509196 - 财政年份:2022
- 资助金额:
$ 65.56万 - 项目类别:
Understanding mechanism of action: Combined computational and structural biology studies to determine small molecule effects on protein dynamics and function
了解作用机制:结合计算和结构生物学研究来确定小分子对蛋白质动力学和功能的影响
- 批准号:
555689-2020 - 财政年份:2022
- 资助金额:
$ 65.56万 - 项目类别:
Alliance Grants
A combined experimental and computational approach for the rational synthesis of rotaxanes as 'smart' drug delivery systems
合理合成轮烷作为“智能”药物输送系统的实验和计算相结合的方法
- 批准号:
2896287 - 财政年份:2022
- 资助金额:
$ 65.56万 - 项目类别:
Studentship
Harnessing Electrostatics to Unlock Cage Catalysis: A Combined Experimental Computational Approach
利用静电解锁笼催化:组合实验计算方法
- 批准号:
EP/W009803/1 - 财政年份:2022
- 资助金额:
$ 65.56万 - 项目类别:
Research Grant