首页> 外国专利> COMPUTATIONAL ANALYSIS TO COMPREHENSIVELY PREDICT AND DESIGN MOLECULAR RECOGNITION BETWEEN PEPTIDES AND PROTEINS

COMPUTATIONAL ANALYSIS TO COMPREHENSIVELY PREDICT AND DESIGN MOLECULAR RECOGNITION BETWEEN PEPTIDES AND PROTEINS

机译:全面预测肽和蛋白质之间的分子识别的计算分析

摘要

Methods and systems, including those employing machine learning, utilizing one or more algorithms for relating the structure of a molecule in a library to its function are described. Embodiments described herein relate structure to function by considering the covalent structure of the molecule, the components of that structure that are common to many molecules in the library, and the properties of those components as they relate to the function in question. Applications include, for example, enhancement and amplification of the diagnostic and prognostic signals provided by peptide arrays for use in analyzing the profile of antibodies in the blood produced in response to a disease, condition or treatment.
机译:描述了方法和系统,包括采用机器学习的方法和系统,这些方法和系统利用一种或多种算法将文库中分子的结构与其功能相关联。本文所述的实施方案通过考虑分子的共价结构,文库中许多分子共有的该结构的组分以及与所讨论的功能有关的那些组分的性质来使结构与功能相关。应用包括,例如,增强和放大由肽阵列提供的诊断和预后信号,用于分析响应疾病,病症或治疗而产生的血液中抗体的概况。

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