D-novo minibinders: developing a high throughput platform for computational design and production of tailored synthetic proteins

D-novo minibinders：开发高通量平台，用于计算设计和定制合成蛋白质的生产

• 批准号: 2731538
• 金额: --
• 依托单位: CARDIFF UNIVERSITY
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2022
• 资助国家: 英国
• 起止时间: 2022 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2731538
• 关键词: novo; minibinders; developing; throughput; platform

Molecular discovery is at the forefront of chemical biology creating binders that can be applied in medicinal chemistry and drug discovery research. While proteins reach high affinity and specificity and act as almost universal binders in Nature, their size, immunogenicity and low stability can represent a drawback in developing diagnostics and therapeutics. Small molecules and D-amino acid - based peptides, in contrast, provide extreme control on the synthesis side and resistance to proteases, but their small size and flexibility can hinder the affinity to the target and limit their specificity.In this project we aim to combine the features of both systems and develop a computational and experimental platform for design and screening of stable D-amino acid based miniproteins as tailored binders (D-novo minibinders). This project will combine computational de novo design of miniprotein (40-60 residues) and binding interfaces with high throughput peptide synthesis and characterization. The student will learn how to analyze and manipulate structure in the Rosetta modelling suite and to synthesize, purify and characterize peptides and proteins.Our aim is to develop a rapid and robust computational and experimental pipeline for design of novel synthetic binders that might represent the next generation of therapeutics.

分子发现是化学生物学的前沿，创造了可应用于药物化学和药物发现研究的粘合剂。虽然蛋白质达到高亲和力和特异性并且在自然界中充当几乎通用的结合剂，但它们的大小、免疫原性和低稳定性可能代表开发诊断和治疗的缺点。相比之下，小分子和D-氨基酸基肽在合成方面提供了极端的控制和对蛋白酶的抗性，本研究旨在联合收割机两种系统的特点，建立一个计算和实验平台，用于设计和筛选稳定的D-氨基酸微蛋白作为定制结合剂（D-novo minibinders）。该项目将结合联合收割机计算从头设计的小蛋白（40-60个残基）和结合界面的高通量肽合成和表征。学生将学习如何在Rosetta建模套件中分析和操纵结构，以及合成，纯化和表征肽和蛋白质。我们的目标是开发一个快速，强大的计算和实验管道，用于设计可能代表下一代治疗方法的新型合成粘合剂。