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    • 1. 发明授权
    • Determining the functions and interactions of proteins by comparative analysis
    • 通过比较分析确定蛋白质的功能和相互作用
    • US06892139B2
    • 2005-05-10
    • US09712363
    • 2000-11-13
    • David EisenbergSergio H. RotsteinEdward M. Marcotte
    • David EisenbergSergio H. RotsteinEdward M. Marcotte
    • G06F19/00G01N33/48C12Q1/68G01N33/50
    • G06F19/18G06F19/22
    • The invention provides novel methods for characterizing the function of nucleic acids and polypeptides. The invention provides a novel method for identifying a nucleic acid or a polypeptide sequence that may be a target for a drug. The invention provides a novel method for identifying a nucleic acid or a polypeptide sequence that may be essential for the growth or viability of an organism. The characterization is based on use of methods of the invention comprising algorithms that can identify functional relationships between diverse sets of non-homologous nucleic acid and polypeptide sequences. The invention provides a computer program product, stored on a computer-readable medium, for identifying a nucleic acid or a polypeptide sequence that may be essential for the growth or viability of an organism. The invention provides a computer program product, stored on a computer-readable medium, for identifying a nucleic acid or a polypeptide sequence that may be a target for a drug. The invention provides a computer system, comprising a processor and a computer program product of the invention.
    • 本发明提供用于表征核酸和多肽的功能的新方法。 本发明提供了用于鉴定可能是药物靶标的核酸或多肽序列的新方法。 本发明提供了一种用于鉴定可能对生物体的生长或活力至关重要的核酸或多肽序列的新方法。 该表征基于本发明的方法的使用,其包括可以鉴定不同组非同源核酸和多肽序列之间的功能关系的算法。 本发明提供了一种计算机程序产品,其存储在计算机可读介质上,用于鉴定可能对生物体的生长或活力至关重要的核酸或多肽序列。 本发明提供了一种计算机程序产品,其存储在计算机可读介质上,用于鉴定可能是药物靶标的核酸或多肽序列。 本发明提供一种包括本发明的处理器和计算机程序产品的计算机系统。
    • 5. 发明授权
    • Protein fold recognition using sequence-derived predictions
    • 蛋白质折叠识别使用序列导出的预测
    • US06512981B1
    • 2003-01-28
    • US09071279
    • 1998-05-01
    • David EisenbergDaniel Fischer
    • David EisenbergDaniel Fischer
    • G06F1900
    • G06F19/16G01N33/6803
    • A computer-assisted method for assigning an amino acid probe sequence to a known three-dimensional protein structure. In particular, the invention includes a method for using the amino acid sequence of a probe plus sequence-derived properties of the probe in making fold assignments. The method includes inputting into a computer system a string p1, p2 . . . pn describing the amino acid sequence of the probe sequence and at least one sequence-derived property for the probe sequence; inputting into a computer system a string t1, t2 . . . tm of structural properties for each member of a library of known 3D structures; executing an alignment algorithm in the computer to compute an alignment score indicating the optimal alignment of the string p1, p2 . . . pn to each string t1, t2 . . . tm by applying a combined compatibility function g(pi, tj); determining the statistical significance of each alignment score to determine a best-fit alignment score; and applying the best-fit alignment score to indicate or select the corresponding 3D protein structure from the library for output to a user. The invention includes a computer program implementation of such a method.
    • 用于将氨基酸探针序列分配给已知的三维蛋白质结构的计算机辅助方法。 特别地,本发明包括使用探针的氨基酸序列加上探针的序列衍生性质进行折叠分配的方法。 该方法包括向计算机系统输入字符串p1,p2。 。 。 pn描述探针序列的氨基酸序列和探针序列的至少一个序列衍生性质; 向计算机系统输入字符串t1,t2。 。 。 已知3D结构库的每个成员的结构特性的tm; 在计算机中执行对准算法来计算指示字符串p1,p2的最佳对齐的对齐分数。 。 。 pn到每个字符串t1,t2。 。 。 通过应用组合的兼容性函数g(pi,tj); 确定每个比对得分的统计学显着性以确定最佳拟合比对得分; 并应用最佳拟合对准分数来指示或选择相应的3D蛋白质结构从库输出给用户。 本发明包括这种方法的计算机程序实现。