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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
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机译:全面预测肽和蛋白质之间的分子识别的计算分析
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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.
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