Ishwar Chandramouliswaran - Silver Spring MD, US Qi Zhao - Gaithersburg MD, US Karen Ketchum - Germantown MD, US Valentina Di Francesco - Rockville MD, US Ellen Beasley - Darnestown MD, US
The present invention provides amino acid sequences of peptides that are encoded by genes within the Human genome, the GPCR peptides of the present invention. The present invention specifically provides isolated peptide and nucleic acid molecules, methods of identifying orthologs and paralogs of the GPCR peptides and methods of identifying modulators of the GPCR peptides.
Isolated Human G-Protein Coupled Receptors, Nucleic Acid Molecules Encoding Human Gpcr Proteins, And Uses Thereof
Ming-Hui Wei - Germantown MD, US Wei Shao - Frederick MD, US Qi Zhao - Gaithersburg MD, US Valentina Di Francesco - Rockville MD, US Ellen Beasley - Darnestown MD, US
The present invention provides amino acid sequences of peptides that are encoded by genes within the Human genome, the GPCR peptides of the present invention. The present invention specifically provides isolated peptide and nucleic acid molecules, methods of identifying orthologs and paralogs of the GPCR peptides and methods of identifying modulators of the GPCR peptides.
Isolated Human G-Protein Coupled Receptors, Nucleic Acid Molecules Encoding Human Gpcr Proteins, And Uses Thereof
Ming-Hui Wei - Germantown MD, US Qi Zhao - Gaithersburg MD, US Anibal Cravchik - Gaithersburg MD, US Valentina Di Francesco - Rockville MD, US Ellen Beasley - Darnestown MD, US
The present invention provides amino acid sequences of peptides that are encoded by genes within the Human genome, the GPCR peptides of the present invention. The present invention specifically provides isolated peptide and nucleic acid molecules, methods of identifying orthologs and paralogs of the GPCR peptides and methods of identifying modulators of the GPCR peptides.
Isolated Human G-Protein Coupled Receptors, Nucleic Acid Molecules Encoding Human Gpcr Proteins, And Uses Thereof
Ming-Hui Wei - Germantown MD, US Wei Shao - Frederick MD, US Qi Zhao - Gaithersburg MD, US Valentina Di Francesco - Rockville MD, US Ellen Beasley - Darnestown MD, US
The present invention provides amino acid sequences of peptides that are encoded by genes within the Human genome, the GPCR peptides of the present invention. The present invention specifically provides isolated peptide and nucleic acid molecules, methods of identifying orthologs and paralogs of the GPCR peptides and methods of identifying modulators of the GPCR peptides.
Isolated Human G-Protein Coupled Receptors, Nucleic Acid Molecules Encoding Human Gpcr Proteins, And Uses Thereof
Ishwar Chandramouliswaran - Silver Spring MD, US Qi Zhao - Gaithersburg MD, US Karen Ketchum - Germantown MD, US Valentina Di Francesco - Rockville MD, US Ellen Beasley - Darnestown MD, US
The present invention provides amino acid sequences of peptides that are encoded by genes within the Human genome, the GPCR peptides of the present invention. The present invention specifically provides isolated peptide and nucleic acid molecules, methods of identifying orthologs and paralogs of the GPCR peptides and methods of identifying modulators of the GPCR peptides.
Isolated Human G-Protein Coupled Receptors, Nucleic Acid Molecules Encoding Human Gpcr Proteins, And Uses Thereof
Ming-Hui Wei - Rockville MD, US Qi Zhao - Rockville MD, US Trevor Woodage - Rockville MD, US Valentina Di Francesco - Rockville MD, US Ellen Beasley - Rockville MD, US
The present invention provides amino acid sequences of peptides that are encoded by genes within the Human genome, the GPCR peptides of the present invention. The present invention specifically provides isolated peptide and nucleic acid molecules, methods of identifying orthologs and paralogs of the GPCR peptides and methods of identifying modulators of the GPCR peptides.
Human Monoclonal Antibodies That Bind Insulin-Like Growth Factor (Igf) I And Ii
Disclosed herein are human monoclonal antibodies that specifically bind both IGF-I and IGF-II with picomolar affinity and potently inhibit the IGF-IR signal transduction function. These antibodies are active in both an IgG and a scFv format. Bispecific forms of these antibodies are also disclosed. Nucleic acids encoding these antibodies, vectors including these nucleic acids, and host cells transformed with these vectors are also disclosed herein. Also disclosed are pharmaceutical compositions including these antibodies. Methods are provided for treating a subject with cancer and for inhibiting phosphorylation of the insulin-like growth factor-I receptor. Methods are also provided for diagnosing cancer.
Methods for training a generative adversarial network (GAN) in conjunction with a convolutional neural network (CNN) are disclosed. The GAN and the CNN can be trained using biological data, such as protein interaction data. The CNN can be used for identifying new data as positive or negative. Methods are disclosed for synthesizing a polypeptide associated with new protein interaction data identified as positive.
Kenyon & Kenyon
Associate Patent Attorney
Icahn School of Medicine at Mount Sinai Aug 2003 - Jul 2007
Postdoctoral Fellow
Aug 2003 - Jul 2007
Georgetown University Law Center
Education:
Peking University
University of Illinois at Chicago
Doctorates, Doctor of Philosophy, Pharmacology
Georgetown University Law Center
Doctor of Jurisprudence, Doctorates, Law
Regeneron Pharmaceuticals, Inc.
Fellow-Bioinformatics, Group Leader
Ludwig Collaborative Laboratory Department of Neurosurgery Johns Hopkins University School of Med Sep 2010 - Aug 2014
Assistant Professor
J. Craig Venter Institute Sep 2008 - Sep 2010
Assistant Professor
Tigr Mar 2004 - Aug 2008
Senior Bioinformatics Scientist
Celera Corporation May 1999 - Feb 2004
Senior Scientist
Education:
The University of Texas Health Science Center at Houston Jan 1, 1991 - Dec 31, 1996
The University of Texas M.d. Anderson Cancer Center 1991 - 1996
Doctorates, Doctor of Philosophy, Genetics
Fudan University
Bachelors, Bachelor of Science, Biochemistry
Skills:
Genomics Bioinformatics Genetics Sequencing Cancer Genomics Biomarkers Computational Biology Cancer Molecular Biology Sequence Analysis Transcriptomics Dna Sequencing Technology Transfer Lifesciences