Evidence for a New Theory of Allostery Andrew Michaelson Northeastern University

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Evidence for a New Theory of Allostery Andrew Michaelson Northeastern University Professor Mary Jo Ondrechen. Why Do We Want to Do This?. New Drugs Design of new sites Design of new effectors - PowerPoint PPT Presentation

Transcript of Evidence for a New Theory of Allostery Andrew Michaelson Northeastern University

  • Evidence for a New Theory of Allostery

    Andrew MichaelsonNortheastern UniversityProfessor Mary Jo OndrechenEvidence for a New Theory of Allostery

    Andrew MichaelsonNortheastern UniversityProfessor Mary Jo Ondrechen

  • Why Do We Want to Do This?

    New DrugsDesign of new sitesDesign of new effectors(Understanding allosteric effects may be lead us to design allosteric sites and effectors for non-allosteric enzymes)

  • Current Theory of Allostery

    Concerted Model

    Sequential Model

  • A Classic Example

  • Uracil PhosphribosyltransferaseWhat does it do?

    Why is this important?

  • MethodsTHEMATICS

    PropKa

    Motif

  • Uracil Phosphoribosyltransferase(Inactive Form)

  • Uracil Phosphoribosyltransferase(Active Form)

  • But Are They Different?(0.679 Angstroms)

  • Uracil Phosphoribosyltransferase(Inactive Form)

  • Uracil Phosphoribosyltransferase(Active Form)

  • And How Are They Different?(1.743 Angstroms)

  • Results

  • Results

  • Results

  • Analysis

  • Results

  • Analysis

  • Conclusions

  • AcknowledgmentsI would like to thank Professor OndrechenI would like to thank the Ondrechen Group.I would like to thank all the other people working on the Allostery project as well.

  • References1. YASARA Biosciences (2007) YASARA: Yet another scientific artificial reality application. Available: http://www.yasara.org/. Accessed 13 April 2010.

    2. Bioinformatics-Biostatistics & Computational Biology Greece. YASARA the absolute structure viewer. Triantafillos Paparountas. Available: http://bio-informatics.gr/content/view/45/26/ . Accessed 12 March 2010.

  • References3. Mary Jo Ondrechen, James G. Clifton, Dagmar Ringe, (2001) THEMATICS: A simple computational predictor of enzyme function from structure, PNAS.

    4. 1XTU. F.C.Bernstein, T.F.Koetzle, G.J.Williams, E.E.Meyer Jr., M.D.Brice, J.R.Rodgers, O.Kennard, T.Shimanouchi, M.Tasumi, "The Protein Data Bank: A Computer-based Archival File For Macromolecular Structures," J. of. Mol. Biol., 112 (1977): 535.

  • References5. 1XTT. F.C.Bernstein, T.F.Koetzle, G.J.Williams, E.E.Meyer Jr., M.D.Brice, J.R.Rodgers, O.Kennard, T.Shimanouchi, M.Tasumi, "The Protein Data Bank:

    6. Hui Li, Andrew D. Robertson, and Jan H. Jensen "Very Fast Empirical Prediction and Interpretation of Protein pKa Values" Proteins, 2005, 61, 704-721.

  • References7. Delphine C. Bas, David M. Rogers, and Jan H. Jensen "Very Fast Prediction and Rationalization of pKa Values for Protein-Ligand Complexes" Proteins, 2008, 73, 765-783.

    8. Freeman and Company L Stryer, WH "Biochemistry Fifth Edition" - New York, 1995