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Conservation of Interaction Patterns in Protein Families

Conservation of Interaction Patterns in Protein Families
蛋白质家族中相互作用模式的保守
批准号:
9506278
负责人:
Adam Godzik
金额:
$30.0万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
1995
资助国家:
美国
项目状态:
已结题
起止时间:
1995-10-01 至 1998-09-30

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英文摘要
9506278 Godzik Modeling of protein structures by computer, before it is determined experimentally, is an invaluable tool, aiding drug design, mutation studies and often structure determination itself. The main goal of this research is to improve existing tools for the modeling of protein structures by including extra information obtained from the new type of analysis of regularities in known protein structures. This whole approach can be best described as the reverse- engineering of protein structures on the computer. Protein structures will be "decomposed" into interacting fragments, and, by utilizing a library of "parts", they will be rebuilt. To gain experience as well as to measure progress during the method development, known structures will be modeled onto structures of other proteins from their structural families. Experience gained in the "rebuilding" of known structures will be used to make structural predictions for a number of real targets. %%% The main scientific trust in this research is to explore and utilize a new, interaction based, description of proteins. In such a description, a protein is seen as a collection of interactions between side chains, rather than as a set of points in space; thus, the very features responsible for the folding to a particular structure are directly used in the structure description itself. The quality of protein models obtained by homology modeling will be improved by using insights obtained through this new perspective, by focusing on side-chain interactions which remain constant with sequence changes even as protein backbone shifts and slides. The goals of this research will be achieved in two stages. In the first stage, traditional modeling techniques will be supplemented by additional information obtained from the analysis of protein families. In the second stage, a new modeling approach will be developed, where the predicted protein structure will be built inside-out, around interacting clusters of res idues, using fragments of structures from other proteins. To assist in achieving these goals, a set of necessary tools will be developed. A number of specific objectives, including building models of proteins with various levels of homology to the target, will be used to judge the progress of the research. ***
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EAGER: Using Search Engines to Track Impact of Unsung Heroes of Big Data Revolution, Data Creators
  • 批准号:
    1931895
  • 项目类别:
    Standard Grant
  • 资助金额:
    $15.45万
  • 财政年份:
    2018
  • 负责人:
    Adam Godzik
  • 依托单位:
EAGER: Using Search Engines to Track Impact of Unsung Heroes of Big Data Revolution, Data Creators
  • 批准号:
    1565233
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.0万
  • 财政年份:
    2015
  • 负责人:
    Adam Godzik
  • 依托单位:
I-Corps: Market Research, Customer Interviews, and Customer Discovery for Novel Cancer Biomarkers
  • 批准号:
    1559647
  • 项目类别:
    Standard Grant
  • 资助金额:
    $5.0万
  • 财政年份:
    2015
  • 负责人:
    Adam Godzik
  • 依托单位:
Flexible Protein Structure Alignment Program and Server
国内基金
海外基金
基于interaction和backbone的NP类MAS问题解集表示、复杂性统计与高效算法研究
  • 批准号:
    11201019
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    22.0万元
  • 批准年份:
    2012
  • 负责人:
    韦卫
  • 依托单位:
Reality-based Interaction用户界面模型和评估方法研究
  • 批准号:
    61170182
  • 项目类别:
    面上项目
  • 资助金额:
    57.0万元
  • 批准年份:
    2011
  • 负责人:
    田丰
  • 依托单位:
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data