Columbia University

Other

Institut Pasteur

Andrey Rzhetsky

Sergey M Kalachikov

Carol Friedman

Pauline Kra

Michael O Krauthammer

Charles W Roth

Marine Grailles

Paul T Brey

Inge Holm

The present invention also relates to natural language processing and extraction of relational information associated with genes and proteins that are found in genomics journal articles. To enable access to information in textual form, the natural language processing system of the present invention provides systems and methods for extracting and structuring information found in the literature in a form appropriate for subsequent applications.

Gene discovery through comparisons of networks of structural and functional relationships among known genes and proteins

The invention provides, inter alia, isolated nucleic acid molecules that comprise nucleic acids encoding multiple drug resistance proteins fromor, herein referred to as dMRP or gMRP, respectively, vectors encoding dMRP or gMRP, and host cells transformed with vectors containing these nucleic acids.

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The present invention relates to methods for identifying novel genes comprising: (i) generating one and/or more specialized databases containing information on gene/protein structure, function and/or regulatory interactions; and (ii) searching the specialized databases for homology or for a particular motif and thereby identifying a putative novel gene of interest. The invention may further comprise performing simulation and hypothesis testing to identify or confirm that the putative gene is a novel gene of interest. The present invention also relates to natural language processing and extraction of relational information associated with genes and proteins that are found in genomics journal articles. To enable access to information in textual form, the natural language processing system of the present invention provides a method for extracting and structuring information found in the literature in a form appropriate for subsequent applications.

Methods for extracting information on interactions between biological entities from natural language text data

The present invention relates to methods for identifying novel genes comprising: (i) generating one or more specialized databases containing information on gene/protein structure, function and/or regulatory interactions; and (ii) searching the specialized databases for homology or for a particular motif and thereby identifying a putative novel gene of interest. The invention may further comprise performing simulation and hypothesis testing to identify or confirm that the putative gene is a novel gene of interest.

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New York, NY, United States of America

Andrey Rzhetsky