SEED Grant Winners 2003

Wei Huang, Department of Radiology, SBU
Charles Springer, Chemistry Department, BNL
Luminita A. Tudorica, Department of Radiology, SBU
Thomas Yankeelov, Chemistry Department, BNL

"Quantitative MRI Contrast Reagent Bolus-Tracking Studies for Improved Specificity in Breast Cancer Diagnosis"

Abstract:

This proposal hypothesizes that the quantitative contrast reagent bolus-tracking MRI method, BOLERO, will provide accurate measurements of tumor perfusion and tumor vascular permeability in breast lesions, significantly improving specificity in detection of breast malignancy and reducing unnecessary biopsies.

 


Manuel Lerdau, Department of Ecology and Evolution, SBU
Richard Ferrieri, Chemistry Department, BNL
Alistair Rogers, Environmental Sciences, BNL

"Nitrogen Fixation in Plants: Physiological Studies using Short-lived Isotopes"

Abstract:

This proposal aims to improve understanding of plant responses to environmental stress to allow for the realization of the Green Revolution in developing crops with the potential to enhance productivity in agricultural systems by using a complementary approach that addresses the integration of physiological processes with visualization and quantification of molecular movement and disposition across the scale of the entire plant.

 


Benjamin Luft, Department of Medicine, SBU
John Dunn, Department of Biology, BNL
Subramanyam Swaminathan, Department of Biology, BNL

"Development of New Inhibitors of Botulinum Toxin"

Abstract:

The purpose of this work is to understand the structure-function relationship of botulinum neurotoxins leading to a structure based rational drug design for the treatment of botulism, with the concern that the use of toxins produced by Clostridium botulinum will be introduced to populations as a method of biowarfare terror.

 


Steven Skiena, Department of Computer Science, SBU
Daniel van der Lelie, Department of Biology, BNL
Sean McCorkle, Department of Biology, BNL

"Computational Analysis of Genomic Sequence Tags"

Abstract:

The aim of this proposal is to provide a method of computational analysis that will support the genomic sequence tag in studying the structure, functional roles, and diversity of complex communities of microbes, previously indescribable as vast types of microorganisms cannot exist under laboratory conditions for examination.

 


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