Princeton University

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Christodoulos A Floudas

Matthew Cooper

Trent Martin Woodruff

Ronald D Gorham, Jr

Dimitrios Morikis

John Klepeis

Herschel A Rabitz

Richard A Yetter

Peter N Monk

Meghan L Bellows-Peterson

Dimitrios Monikis

George A Khoury

Georgios Archontis

M M Faruque Hasan

Phanourios Tamamis

Daniel E Croker

Eric L First

A method of selectively modulating the activity of C5a receptor 2 (C5aR2). The method includes exposing the receptor to a compound that selectively modulates C5aR2 compared to C5a receptor 1 (C5aR1). In some cases, the compound is peptide P32 or P59. Methods of recruiting &#x3b2;-arrestin 2 in a cell, modulating C5a-induced ERK1/2 activation in a macrophage, selectively inhibiting the release of IL-6 from a macrophage, are also provided.

Discovery of the first selective C5A receptor 2 (C5L2/C5AR2) ligands

Disclosed herein are new methods, machines, processes, and systems for separating molecules by determining better materials and process optimization conditions. As a result of these advances, this disclosure provides improved carbon dioxide capture, better flue gas treatments, and more efficient methods of purifying gases have been developed. Optimal sorbents can be obtained by using a computational screening method that selects microporous structures (e.g. zeolites and metal-organic frameworks) from a database of materials with the greatest potential for cost-effective separations. The disclosed methods are the first to consider both the size and shape of the adsorbent material. This is also the first disclosure to consider the process application and cost when selecting which material to use.

Methods of separating molecules

The disclosure describes compstatin analogs and methods of using such analogs for the treatment of complement-related disease and disorder.

Compstatin analogs

The present invention provides a novel four stage ab initio approach for predicting the tertiary structure of polypeptides. The methods of the invention combine the classical and modern views of protein folding, while using free energy calculations and integer linear optimization to predict helical and &bgr;-sheet structures. Derivation of restraints, detailed atomistic modeling, and a deterministic global optimization method, &agr;BB, coupled with torsion angle dynamics, form the basis for the final tertiary structure prediction. The performance of the methods of the invention is illustrated using several different polypeptides.

Methods of ab initio prediction of &agr; helices, &bgr; sheets, and polypeptide tertiary structures

A flow reactor providing a high degree of selectivity in the reaction of a feedstock to produce one or more end product compounds, which includes: side walls defining an elongated reactor unit having a length dimension along which the feedstock is reacted under varying conditions of energy and chemical flux effective to produce the one or more end product compounds; a plurality of devices for supplying energy or chemical flux through the side walls and positioned to distribute the energy and chemical flux along the length of the reactor unit so as to optimize a property of the one or more end product compounds; devices for measuring a property of the end product compounds; and an adaptive feedback control system to determine, establish and maintain the optimum energy and chemical flux distribution along the length of the reactor based on the end product property measurement.

Adaptive feedback control flow reactor

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Princeton, NJ, United States of America

Christodoulos A Floudas