Ravi Iyengar | |
---|---|
Alma mater | University of Mumbai, University of Houston |
Scientific career | |
Fields | Biochemistry |
Institutions | Mount Sinai Medical Center |
Ravi Iyengar, is a principal investigator at The Mount Sinai Medical Center. [1] [2]
Trained as a biochemist, Iyengar studies cellular signaling networks using both experiments and computer simulations. His laboratory focuses on how cell signals are routed and processed through cellular signaling networks within cells to discover new drug targets for complex diseases. [3] [4] [5] He has published more than 100 primary papers, 92 reviews and is the editor of 6 books.
Iyengar earned both an undergraduate degree in Chemistry and Physics in 1971 and a master's degree in Biophysics in 1973 from the University of Mumbai in India. He completed his Ph.D. in Biophysical Sciences at the University of Houston in 1977. He joined Baylor College of Medicine in 1977 as a postdoctoral fellow and rose to assistant and then associate professor. In 1986, he joined the Department of Pharmacology at The Mount Sinai Medical Center as an associate professor. In 1999, he was appointed chairman of the Department of Pharmacology at Mount Sinai, and in 2001 he was named Mount Sinai's Dorothy H. and Lewis Rosenstiel Professor and chair of the Department of Pharmacology and Biological Chemistry. He stepped down from his position as chair in January 2014.
Iyengar served as the dean of research for The Mount Sinai School of Medicine from 2002 to 2004.
In 2004, Iyengar was elected fellow of the American Association for the Advancement of Science. [6] Additional honors include:
Iyengar holds Patent No. 20080261820: Methods to Analyze Biological Networks. [7]
Partial list:
GTPases are a large family of hydrolase enzymes that bind to the nucleotide guanosine triphosphate (GTP) and hydrolyze it to guanosine diphosphate (GDP). The GTP binding and hydrolysis takes place in the highly conserved G domain common to many GTPases.
Ribonucleic acid (RNA) is a polymeric molecule essential in various biological roles in coding, decoding, regulation and expression of genes. RNA and deoxyribonucleic acid (DNA) are nucleic acids. Along with lipids, proteins, and carbohydrates, nucleic acids constitute one of the four major macromolecules essential for all known forms of life. Like DNA, RNA is assembled as a chain of nucleotides, but unlike DNA, RNA is found in nature as a single strand folded onto itself, rather than a paired double strand. Cellular organisms use messenger RNA (mRNA) to convey genetic information that directs synthesis of specific proteins. Many viruses encode their genetic information using an RNA genome.
A generegulatory network (GRN) is a collection of molecular regulators that interact with each other and with other substances in the cell to govern the gene expression levels of mRNA and proteins which, in turn, determine the function of the cell. GRN also play a central role in morphogenesis, the creation of body structures, which in turn is central to evolutionary developmental biology (evo-devo).
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Alfred Goodman Gilman was an American pharmacologist and biochemist. He and Martin Rodbell shared the 1994 Nobel Prize in Physiology or Medicine "for their discovery of G-proteins and the role of these proteins in signal transduction in cells."
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Dr1-associated corepressor is a protein that in humans is encoded by the DRAP1 gene.
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Michael B. Elowitz is a biologist and professor of Biology, Bioengineering, and Applied Physics at the California Institute of Technology, and investigator at the Howard Hughes Medical Institute. In 2007 he was the recipient of the Genius grant, better known as the MacArthur Fellows Program for the design of a synthetic gene regulatory network, the Repressilator, which helped initiate the field of synthetic biology. In addition, he showed, for the first time, how inherently random effects, or 'noise', in gene expression could be detected and quantified in living cells, leading to a growing recognition of the many roles that noise plays in living cells. His work in Synthetic Biology and Noise represent two foundations of the field of Systems Biology.
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