Collaborative Research: Experimental and Computational Examination of Biomimetic Peptides Acting as Anti-freeze Molecules
Collaborative Research: Experimental and Computational Examination of Biomimetic Peptides Acting as Anti-freeze Molecules
批准号:
2203527
负责人:
Amir Haji-Akbari
金额:
$16.22万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-09-01 至 2025-08-31
中文摘要
该奖项来自NSF化学部的环境化学科学计划,支持教授的这一合作项目。斯托尼布鲁克大学的丹尼尔·克诺夫和罗伯特·格拉布斯以及耶鲁大学的阿米尔·哈吉-阿克巴里教授研究并产生了可以控制水冻结的有机分子。抑制冰形成的能力在关键技术应用中是至关重要的,例如生物材料的保存,食品加工和储存,以及防止在暴露表面上的冰生长,例如在飞机和海上平台上。在自然界中,一些生物可以产生所谓的抗冻蛋白(AFP)来控制冰的形成,使它们能够在冰点下生存。该合作项目旨在了解和模拟这些AFP,以生成可用于各种研究领域和行业的设计合成防冻剂分子。该项目将培训三名研究生和两名本科生,并为高中生暑期拓展计划提供课程模块。该团队将设计AFP模拟物(AFPMs),其结构比天然AFP更简单,可以产生实用且具有成本效益的冰抑制剂和防冰涂层。通过将β-螺旋AFP的冰结合面中发现的亲水性和疏水性氨基酸侧链的排列转化为肽-聚合物缀合物,以寻求对抗冻能力的机理理解,所述肽-聚合物缀合物覆盖从单个分子到基底锚定的AFPMs阵列的各种长度尺度。冰成核和冰重结晶抑制实验将确定合成的生物分子的防冻效果。使用路径采样的理论研究将解决类似于那些在实验中的长度尺度上的水AFP模拟相互作用。这一综合性的方法将确定疏水和亲水基团的位置和强度的重要性以及AFPMs防冻功效的灵活性,从而推进影响冰成核和生长的仿生学设计。该奖项反映了NSF的法定使命,并通过使用基金会的智力价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This award from the Environmental Chemical Sciences Program in the NSF Division of Chemistry supports this collaborative project of Profs. Daniel Knopf and Robert Grubbs at Stony Brook University and Prof. Amir Haji-Akbari at Yale University to examine and generate organic molecules that can control the freezing of water. The ability to inhibit ice formation is crucial in critical technological applications such as preservation of biological materials, food processing and storage, and preventing ice growth on exposed surfaces such as those on aircraft and offshore platforms. In nature some organisms can produce so-called antifreeze proteins (AFPs) to control ice formation allowing their survival at freezing temperatures. This collaborative project aims to understand and mimic those AFPs to allow for generation of designed synthetic antifreeze molecules that can be used in various research areas and industries. This project will train three graduate and two undergraduate students and provide a course module for a summer outreach program for high school students.The team will design AFP mimetics (AFPMs) with less complex structures than natural AFPs that can lead to practical and cost-efficient ice inhibitors and anti-icing coatings. A mechanistic understanding of the antifreezing capability will be sought by translating arrangements of hydrophilic and hydrophobic amino acid side chains found in ice-binding faces of β-helical AFPs to peptide-polymer conjugates covering various length scales from single molecules to arrays of substrate-anchored AFPMs. Ice nucleation and ice recrystallization inhibition experiments will determine the antifreezing efficacy of synthesized biomolecules. Theoretical studies using path-sampling will resolve the water-AFP mimetic interactions on length scales similar to those in the experiments. This comprehensive approach will determine the importance of the location and strength of the hydrophobic and hydrophilic groups and the flexibility of the AFPMs for antifreezing efficacy, thereby advancing the design of biomimetics that influence ice nucleation and growth.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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Computational Design of Ultraselective Desalination Membranes using Molecular Simulations and Path Sampling Techniques
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批准号:2024473
-
项目类别:Standard Grant
-
资助金额:$33.24万
-
财政年份:2021
-
负责人:Amir Haji-Akbari
-
依托单位:
CAREER: Computational Design and Optimization of Operationally Robust Crystal Nucleating Materials via Surface Nano-Patterning
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批准号:1751971
-
项目类别:Standard Grant
-
资助金额:$50.0万
-
财政年份:2018
-
负责人:Amir Haji-Akbari
-
依托单位:
国内基金
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