基本信息:
- 专利标题: METHOD FOR ASSESSING SIGNIFICANCE OF PROTEIN IDENTIFICATION
- 专利标题(中):评估蛋白质鉴定意义的方法
- 申请号:PCT/US0016638 申请日:2000-06-15
- 公开(公告)号:WO0077712A9 公开(公告)日:2002-07-11
- 发明人: ERIKSSON JAN , FENYOE DAVID , CHAIT BRIAN T
- 申请人: UNIV ROCKEFELLER , ERIKSSON JAN , FENYOE DAVID , CHAIT BRIAN T
- 专利权人: UNIV ROCKEFELLER,ERIKSSON JAN,FENYOE DAVID,CHAIT BRIAN T
- 当前专利权人: UNIV ROCKEFELLER,ERIKSSON JAN,FENYOE DAVID,CHAIT BRIAN T
- 优先权: US33372699 1999-06-15
- 主分类号: C07K1/00
- IPC分类号: C07K1/00 ; C07K1/04 ; G01N33/68 ; G06F19/18 ; G06F19/00
摘要:
A method of generating a frequency distribution of scores for a particular experimental condition, wherein the scores relate to random identifications of biological molecules, the method comprising: a) generating mass data for the particular experimental condition for known biological molecules in a biological molecule database; b) generating mass data of a hypothetical biological molecule for the experimental condition; c) comparing the data generated in step (b) with the data generated for each known biological molecule in step (a); d) calculating a score for each comparison in step (c), wherein the score is a function of similarity between the data generated in step (a), which corresponds to a particular known biological molecule, and the data generated in step (b); e) selecting a score from the scores calculated in step (d), wherein the selected score corresponds to the comparison which denotes a high degree of similarity between the data generated in step (a) and the data generated in step (b); f) repeating steps (b) through (e) with different hypothetical biological molecules until a sufficient quantity of scores are selected; and g) determining the frequency of selecting each score and generating therefrom a frequency distribution of scores.
摘要(中):
一种生成特定实验条件的分数的频率分布的方法,其中所述分数涉及生物分子的随机标识,所述方法包括:a)产生生物分子数据库中已知生物分子的特定实验条件的质量数据; b)为实验条件产生假设生物分子的质量数据; c)将步骤(b)中产生的数据与在步骤(a)中为每个已知生物分子生成的数据进行比较; d)计算步骤(c)中每个比较的得分,其中所述得分是步骤(a)中生成的数据(其对应于特定已知生物分子)与步骤(b)中生成的数据之间的相似性的函数, ; e)从步骤(d)中计算的分数中选择分数,其中所选分数对应于表示步骤(a)中生成的数据与步骤(b)中生成的数据之间的高度相似度的比较; f)用不同的假设生物分子重复步骤(b)至(e),直到选择足够数量的分数; 以及g)确定选择每个分数的频率并由此产生分数的频率分布。