Modeling of Protein Complexes and Missense Mutations

蛋白质复合物和错义突变的建模

• 批准号: 7035708
• 负责人: ROLAND L DUNBRACK
• 金额: $ 31.64万
• 依托单位: RESEARCH INST OF FOX CHASE CAN CTR
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-03-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7035708
• 关键词: aminoacid; binding sites; bioengineering /biomedical engineering; bioinformatics; chemical models; chemical stability; computational biology; computer simulation; cystathionine beta synthase; intermolecular interaction; mathematical model; miscellaneous oxidoreductase; model design /development; point mutation; protein structure; protein structure function; single nucleotide polymorphism

DESCRIPTION (provided by applicant): Amino acid mutations in human proteins are often associated with inherited predispositions to specific diseases. Yet most observed missense polymorphisms, those involving a single nucleotide change leading to a changed amino acid, have not been characterized in terms of their effects on protein structure and function. We hypothesize that many of the most deleterious missense mutations affect protein function in one of two ways: 1) by altering interaction of proteins with other molecules, including other proteins, DMA, and small ligands; or 2) by altering stability of the protein. Both of these mechanisms depend primarily on the location of the mutation and its physical properties: changes in protein interactions are usually caused by mutations in or very near to a binding site; changes in stability are usually caused by mutations of buried hydrophobic residues. The aim of this proposal is to develop a computational system for predicting the functional effects of missense mutations through homology modeling of protein complexes. New functional data on 1000 random mutations in two dimeric enzyme systems will be obtained to train and test the model. The primary application of this computational system will be to genes associated with the development of cancer. Cancer is usually linked to a number of genetic changes, some inherited and others somatic. These include loss of DNA-damage repair, breakdown of cell-cycle checkpoints, and resistance to apoptosis. Each of these processes requires many protein interactions, often in large protein complexes. These interactions may be compromised by missense mutations that alter individual interactions between molecules or mutations that lower protein stability.

描述（由申请人提供）：人类蛋白质中的氨基酸突变通常与特定疾病的遗传易感性相关。然而，大多数观察到的错义多态性，即那些涉及单个核苷酸改变导致氨基酸改变的多态性，还没有被描述为它们对蛋白质结构和功能的影响。我们假设许多最有害的错义突变以两种方式之一影响蛋白质功能：1)通过改变蛋白质与其他分子（包括其他蛋白质、DMA和小配体）的相互作用；或者2)通过改变蛋白质的稳定性。这两种机制主要取决于突变的位置及其物理性质：蛋白质相互作用的变化通常是由结合位点或非常接近结合位点的突变引起的；稳定性的变化通常是由埋藏的疏水残基突变引起的。本提案的目的是开发一个计算系统，通过对蛋白质复合物的同源性建模来预测错义突变的功能效应。将获得两种二聚体酶系统中1000个随机突变的新功能数据来训练和测试该模型。这个计算系统的主要应用将是与发育有关的基因