Abstract: Methods and systems are described for identification and characterization of allosteric sites in proteins and enzyme molecules. The disclosed methods allow for identification of natural and true binding sites on surface regions of protein and enzyme molecules by following the pathways of energy flow between the activity center to the surface regions. Allosteric sites are identified and ranked for their effect on target activity of the protein using computational methods. Then chemical libraries are screened to find the best candidates for drug like molecules that affect target activity of the protein or enzyme.

Abstract: Methods and systems are provided for designing an allosteric modulator library begin with identifying a plurality of different allosteric sites on a plurality of different proteins. Biophysical information for each of the allosteric sites is recorded and structural, charge and other chemical properties at each of the allosteric sites are calculated. The biophysical information and calculated properties are analyzed to create a set of functional groups distribution in allosteric modulators. Using this information, existing chemical libraries and fragment libraries are screened for compounds that strongly interact with the set of residues in the allosteric sites. From that, a plurality of new chemical compounds are generated, evaluated and stored in a chemical library that is optimized for allosteric modulator discovery.

Abstract: The present disclosure is directed to methods and systems for identifying different parts of enzyme structure that can be engineered and/or assisted by engineered technologies to improve the speed and efficiency of the catalyzed chemical reactions. More specifically, the present disclosure is directed to identifying and modifying distal surface regions that affect catalytic activity. These surface regions are identified and ranked for the impact on enzyme activity, based on the transfer of energy from the surface regions to the active site. Methods are described for improving the catalytic efficiency by improving the energy transfer to overcome the activation energy barrier. The methods described are also applicable for improving the stability of enzymes and development of appropriate enzyme immobilization protocols.

Abstract: Methods and systems are provided for identifying positive allosteric modulators of proteins. Small compounds that enhance enzyme activity by binding to an allosteric site are identified, by analysis of biophysical and dynamics data for the target protein. More specifically, the present disclosure is directed to identifying and enhancing the dynamics and energetic behavior of distal surface regions that affect catalytic activity. These allosteric regions are identified and ranked for the impact on enzyme activity, based on the transfer of energy from the surface regions to the active site. Methods are described for computationally screening of chemical compounds to determine a binding energy between each chemical compound and each potential allosteric site. Modifications to the chemical compounds can be made to improve the binding energy, increasing the transfer of energy into the active site, and increasing the number of conformations in the functionally important conformations sub-states.

Abstract: Methods and systems are described for identification and characterization of allosteric sites in proteins and enzyme molecules. The disclosed methods allow for identification of natural and true binding sites on surface regions of protein and enzyme molecules by following the pathways of energy flow between the activity center to the surface regions. Allosteric sites are identified and ranked for their effect on target activity of the protein using computational methods. Then chemical libraries are screened to find the best candidates for drug like molecules that affect target activity of the protein or enzyme.

Abstract: A method for analysis, control, and manipulation for improvement of the chemical reaction rate of a protein-mediated reaction is provided. Enzymes, which typically comprise protein molecules, are very efficient catalysts that enhance chemical reaction rates by many orders of magnitude. Enzymes are widely used for a number of functions in chemical, biochemical, pharmaceutical, and other purposes. The method identifies key protein vibration modes that control the chemical reaction rate of the protein-mediated reaction, providing identification of the factors that enable the enzymes to achieve the high rate of reaction enhancement. By controlling these factors, the function of enzymes may be modulated, i.e., the activity can either be increased for faster enzyme reaction or it can be decreased when a slower enzyme is desired.

Abstract: A method for analysis, control, and manipulation for improvement of the chemical reaction rate of a protein-mediated reaction is provided. Enzymes, which typically comprise protein molecules, are very efficient catalysts that enhance chemical reaction rates by many orders of magnitude. Enzymes are widely used for a number of functions in chemical, biochemical, pharmaceutical, and other purposes. The method identifies key protein vibration modes that control the chemical reaction rate of the protein-mediated reaction, providing identification of the factors that enable the enzymes to achieve the high rate of reaction enhancement. By controlling these factors, the function of enzymes may be modulated, i.e., the activity can either be increased for faster enzyme reaction or it can be decreased when a slower enzyme is desired.

Abstract: A method for analysis, control, and manipulation for improvement of the chemical reaction rate of a protein-mediated reaction is provided. Enzymes, which typically comprise protein molecules, are very efficient catalysts that enhance chemical reaction rates by many orders of magnitude. Enzymes are widely used for a number of functions in chemical, biochemical, pharmaceutical, and other purposes. The method identifies key protein vibration modes that control the chemical reaction rate of the protein-mediated reaction, providing identification of the factors that enable the enzymes to achieve the high rate of reaction enhancement. By controlling these factors, the function of enzymes may be modulated, i.e., the activity can either be increased for faster enzyme reaction or it can be decreased when a slower enzyme is desired.

Abstract: A method for analysis, control, and manipulation for improvement of the chemical reaction rate of a protein-mediated reaction is provided. Enzymes, which typically comprise protein molecules, are very efficient catalysts that enhance chemical reaction rates by many orders of magnitude. Enzymes are widely used for a number of functions in chemical, biochemical, pharmaceutical, and other purposes. The method identifies key protein vibration modes that control the chemical reaction rate of the protein-mediated reaction, providing identification of the factors that enable the enzymes to achieve the high rate of reaction enhancement. By controlling these factors, the function of enzymes may be modulated, i.e., the activity can either be increased for faster enzyme reaction or it can be decreased when a slower enzyme is desired.