Methods and systems for predicting proteins that can be secreted into bodily fluids

A technology for secreting proteins and proteins, which is applied in the field of computational analysis of human proteins, and can solve problems such as calculating protein secretion to body fluids

Inactive Publication Date: 2011-09-07
UNIV OF GEORGIA RES FOUND INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Traditional methods do not calculate the probability of protein secretion into body fluids based on protein characteristics

Method used

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  • Methods and systems for predicting proteins that can be secreted into bodily fluids
  • Methods and systems for predicting proteins that can be secreted into bodily fluids
  • Methods and systems for predicting proteins that can be secreted into bodily fluids

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Embodiment Construction

[0023] The present invention relates to methods, systems and computer program products for predicting whether a protein will be secreted into biological fluids such as but not limited to: saliva, blood, urine, spinal fluid, semen, vaginal fluid, and intraocular fluid . The present invention includes embodiments of systems, methods and computer program products for receiving one or more protein sequences and analyzing characteristics of the received protein sequences to determine the probability of secretion of the protein into a bodily fluid. Embodiments of the invention include a graphical user interface (GUI) that enables a user to provide multiple protein sequences and analyze the multiple sequences to predict whether the protein represented by the sequences will be secreted into the bloodstream.

[0024] Although this specification describes user-supplied protein sequences and user-input protein sequences, users can be humans, computer programs, application software, softw...

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Abstract

The present invention is directed to methods and systems for predicting protein secretion into bodily fluids. In an embodiment, a method uses a feature set comprising secretory properties of collected proteins to train a classifier, based on the feature set, to recognize protein features corresponding to proteins that are likely to be secreted into a biological fluid. Another method determines, using a trained classifier and identified features of a received protein sequence, the probability of the protein sequence being secreted into a biological fluid. In an embodiment, a system predicts the secretion of proteins into a biological fluid. The system comprises components configured to construct a protein feature set comprising properties of collected proteins, train a classifier to predict features of a protein that is likely to be secreted into the biological fluid, receive a protein sequence, and identify the received protein sequence as a secretory protein.

Description

[0001] Statement Regarding Federally Funded Research and Development [0002] Work performed in part during the development of this invention used US Government funding awarded by the National Science Foundation under NSF / ITR-IIS-0407204. Accordingly, the US Government has certain rights in this invention. technical field [0003] The present invention relates generally to computational analysis of human proteins, and more particularly to predicting secretion of proteins into bodily fluids, such as blood. Background technique [0004] Alterations in gene and protein expression provide important clues about the physiological state of a tissue or organ. In malignant transformation, genetic alterations in tumor cells can disrupt autocrine and paracrine signaling systems, resulting in the overexpression of some types of proteins (such as growth factors, cytokines, and hormones) that can be secreted outside the cancer cell (Hanahan and Weinberg, 2000; Sporn and Robers, 1985). ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N33/00G16B20/30G16B15/00G16B40/20
CPCG06F19/16G06F19/24G06F19/18G16B15/00G16B20/00G16B40/00G16B20/30G16B40/20
Inventor 崔娟大卫·普特徐鹰
Owner UNIV OF GEORGIA RES FOUND INC
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