THERETICAL STUDIES OF DRUG-NUCLEIC ACID INTERACTIONS
药物-核酸相互作用的理论研究
基本信息
- 批准号:3166983
- 负责人:
- 金额:$ 13.2万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1980
- 资助国家:美国
- 起止时间:1980-01-01 至 1997-04-30
- 项目状态:已结题
- 来源:
- 关键词:DNA artificial intelligence biophysics chemical association chemical models chemical stability computer simulation conformation drug interactions intermolecular interaction ionic bond mathematical model molecular dynamics netropsin nucleic acid denaturation nucleic acid sequence nucleic acid structure solutions thermodynamics
项目摘要
The long term goal of this project is to improve computer based simulation
methods that can be applied to study the structures, kinetics and
thermodynamics of nucleic acids and their interaction with ligands. In the
next period of grant support, we anticipate making major improvements in
the energy function used to describe nucleic acids, and in the methodology
to determine conformational free energies, free energies for mutations, and
absolute free energies of association for nucleic acids and nucleic
acid-ligand complexes using molecular dynamics/free energy approaches. We
plan to use available X-ray and NMR data to evaluate our models.
Applications to a number of the most interesting physical chemical
phenomena in DNA and RNA structure and thermodynamics will be carried out
including the Z phobicity of AT base pairs, the thermodynamics of RNA
loops, the sequence selectivity and binding of DNA minor groove binding
ligands, and the neighbor exclusion rule for ligand binding to DNA.
Recent advances are allowing a most exciting synergy between computer based
theoretical methods to study intermolecular inter-actions and experiments.
These computer simulations are yielding more accurate insights than ever
before and are often correctly predicting the results of subsequent
experiments. The work proposed here has such a synergistic relationship to
experiments and is aimed at a continued improvement of the predictive power
of these computer based theoretical methods. The long term objective of our
studies is to make the computer based approaches truly reliable and
predictive and to use them in anti-cancer and anti-AIDS drug design.
该项目的长期目标是改进基于计算机的仿真
方法,可应用于研究结构,动力学和
核酸热力学及其与配体的相互作用。 在
在下一个赠款支持期,我们预计将在以下方面取得重大进展:
用于描述核酸的能量函数,在方法学中,
确定构象自由能,突变的自由能,
核酸和核酸结合的绝对自由能
酸-配体络合物,使用分子动力学/自由能方法。 我们
计划使用可用的X射线和NMR数据来评估我们的模型。
应用于许多最有趣的物理化学
DNA和RNA的结构和热力学现象将进行
包括AT碱基对的疏Z性,RNA的热力学,
环,序列选择性和结合DNA小沟结合
配体,以及配体与DNA结合的邻居排除规则。
最新的进展是允许一个最令人兴奋的协同作用,
研究分子间相互作用的理论方法和实验。
这些计算机模拟产生了比以往任何时候都更准确的见解
在此之前,并经常正确地预测随后的结果
实验这里提出的工作具有协同关系,
实验,旨在持续提高预测能力
这些基于计算机的理论方法。我们的长远目标
研究的目的是使基于计算机的方法真正可靠,
预测并将其用于抗癌和抗艾滋病药物设计。
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 }}
PETER A KOLLMAN其他文献
PETER A KOLLMAN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('PETER A KOLLMAN', 18)}}的其他基金
NON COVALENT INTERACTIONS IN MOLECULAR DESIGN & PROTEIN FOLDING
分子设计中的非共价相互作用
- 批准号:
6456765 - 财政年份:2001
- 资助金额:
$ 13.2万 - 项目类别:
MOLECULAR DYNAMICS AND FREE ENERGY CALCULATIONS OF HIV RT
HIV RT 的分子动力学和自由能计算
- 批准号:
6494805 - 财政年份:2001
- 资助金额:
$ 13.2万 - 项目类别:
MOLECULAR DYNAMICS AND FREE ENERGY CALCULATIONS OF HIV RT
HIV RT 的分子动力学和自由能计算
- 批准号:
6336561 - 财政年份:2000
- 资助金额:
$ 13.2万 - 项目类别:
THERMODYNAMICS OF PROTEIN-DNA & LIGAND-DNA COMPLEXES
蛋白质-DNA 的热力学
- 批准号:
6053609 - 财政年份:2000
- 资助金额:
$ 13.2万 - 项目类别:
NON COVALENT INTERACTIONS IN MOLECULAR DESIGN & PROTEIN FOLDING
分子设计中的非共价相互作用
- 批准号:
6347927 - 财政年份:2000
- 资助金额:
$ 13.2万 - 项目类别:
MOLECULAR DYNAMICS AND FREE ENERGY CALCULATIONS OF HIV RT
HIV RT 的分子动力学和自由能计算
- 批准号:
6204312 - 财政年份:1999
- 资助金额:
$ 13.2万 - 项目类别:
相似海外基金
I-Corps: Translation Potential of a Secure Data Platform Empowering Artificial Intelligence Assisted Digital Pathology
I-Corps:安全数据平台的翻译潜力,赋能人工智能辅助数字病理学
- 批准号:
2409130 - 财政年份:2024
- 资助金额:
$ 13.2万 - 项目类别:
Standard Grant
Planning: Artificial Intelligence Assisted High-Performance Parallel Computing for Power System Optimization
规划:人工智能辅助高性能并行计算电力系统优化
- 批准号:
2414141 - 财政年份:2024
- 资助金额:
$ 13.2万 - 项目类别:
Standard Grant
REU Site: CyberAI: Cybersecurity Solutions Leveraging Artificial Intelligence for Smart Systems
REU 网站:CyberAI:利用人工智能实现智能系统的网络安全解决方案
- 批准号:
2349104 - 财政年份:2024
- 资助金额:
$ 13.2万 - 项目类别:
Standard Grant
EAGER: Artificial Intelligence to Understand Engineering Cultural Norms
EAGER:人工智能理解工程文化规范
- 批准号:
2342384 - 财政年份:2024
- 资助金额:
$ 13.2万 - 项目类别:
Standard Grant
Reversible Computing and Reservoir Computing with Magnetic Skyrmions for Energy-Efficient Boolean Logic and Artificial Intelligence Hardware
用于节能布尔逻辑和人工智能硬件的磁斯格明子可逆计算和储层计算
- 批准号:
2343607 - 财政年份:2024
- 资助金额:
$ 13.2万 - 项目类别:
Standard Grant
Artificial intelligence in education: Democratising policy
教育中的人工智能:政策民主化
- 批准号:
DP240100602 - 财政年份:2024
- 资助金额:
$ 13.2万 - 项目类别:
Discovery Projects
Reassessing the Appropriateness of currently-available Data-set Protection Levers in the era of Artificial Intelligence
重新评估人工智能时代现有数据集保护手段的适用性
- 批准号:
23K22068 - 财政年份:2024
- 资助金额:
$ 13.2万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
TRUST2 - Improving TRUST in artificial intelligence and machine learning for critical building management
TRUST2 - 提高关键建筑管理的人工智能和机器学习的信任度
- 批准号:
10093095 - 财政年份:2024
- 资助金额:
$ 13.2万 - 项目类别:
Collaborative R&D
QUANTUM-TOX - Revolutionizing Computational Toxicology with Electronic Structure Descriptors and Artificial Intelligence
QUANTUM-TOX - 利用电子结构描述符和人工智能彻底改变计算毒理学
- 批准号:
10106704 - 财政年份:2024
- 资助金额:
$ 13.2万 - 项目类别:
EU-Funded
Application of artificial intelligence to predict biologic systemic therapy clinical response, effectiveness and adverse events in psoriasis
应用人工智能预测生物系统治疗银屑病的临床反应、有效性和不良事件
- 批准号:
MR/Y009657/1 - 财政年份:2024
- 资助金额:
$ 13.2万 - 项目类别:
Fellowship














{{item.name}}会员




