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Johns Hopkins University logoProgram in Molecular Biophysics
David ShortleShortle Lab

David Shortle

Professor
Department of Biological Chemistry
School of Medicine


B.S. 1970, Purdue University
M.D., Ph.D. 1979, Johns Hopkins University School of Medicine

dshortl1@jhmi.edu

513 Physiology Building
725 N. Wolfe Street
Baltimore, MD 21205

Office: 410-955-3738
Lab: 410-955-3738

 

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The principal research interest of the laboratory is protein folding -- how amino acid sequence information encodes three-dimensional structure.  A combined experimental and computational approach is being taken to this longstanding puzzle of fundamental biochemistry.  Several small proteins are being used as simple systems for characterizing the structure that persists in the unfolded (denatured) state, the starting point for folding both in the cell and in the test tube.  In addition, the laboratory is working to predict protein structure from sequence in ways that make the underlying physical chemistry transparent and the relative contributions of different interactions quantifiable.

After more than 15 years of characterization of the denatured state of staphylococcal nuclease, we now know that it retains a native-like topology; i.e., its ensemble-averaged structure at low resolution resembles a swollen form of the native structure. Application of a new NMR parameter, the residual dipolar coupling (RDC), to nuclease and eglin C suggests that most and perhaps all proteins unfold to a dynamic state that, on average, retains a spatial positioning of residues very similar to that observed in the folded state.  In collaboration with the laboratory of Dr. Joel Tolman in the Chemistry department, we are working to more precisely define this persistent long range structure in denatured nuclease, eglin C and the repeat protein N-ankyrin (5 domains).

To predict the structure of proteins, new conformations are generated to fit a protein sequence using a hierarchical strategy that begins with fragments of length 5 to 8 residues, has fragments of length 30-50 as an intermediate state, and then assembles them to yield a full length polypeptide chain. After selection of compact conformations without overlaps that place hydrophobic residues on the interior and charged residues on the outside, all atoms of the side chain atoms are added. In the final step, a simple genetic algorithm allows for efficient search of compact conformations for the one of lowest atomic energy and lowest solvation energy. 

A rather long list of statistical potentials is used a different steps in this procedure to optimize all of the interactions that appear optimized in high resolution crystal structures.  In order to assess our progress, every two years the laboratory enters the CASP international competition to predict protein structure blindly. In addition to ab initio or new fold prediction, we are working on improving the energy functions and sampling methods used to refine homology models. The CASP7 prediction season closed in August 2006, and the results became available in November. The laboratory entered models for approximately 35 target proteins considered to be “new folds” and 50 target proteins that have homologues of known structure, all constructed using our new cluster of 60 computer processors.


Selected Publications
Fang, Q., and D. Shortle. (2006) Protein refolding in silico with atom-based statistical potentials and conformational search using a simple genetic algorithm. J. Mol. Biol. 359:1456-67.

Gebel, E.B., K. Ruan, J.R. Tolman, and D. Shortle. (2006)  Multiple alignment tensors from a denatured protein. J. Am. Chem. Soc. J28:9310-9311.

Fang, Q., and D. Shortle. (2005) Enhanced sampling near the native conformation using statistical potentials for local side-chain and backbone interactions. Proteins 60:97-102.

Fang, Q., and D. Shortle. (2005) A consistent set of statistical potentials for quantifying local side-chain and backbone interactions. Proteins 60:90-96.

Ohnishi, S., A.L. Lee, M.H. Edgell, and D. Shortle. (2004) Direct demonstration of structural similarity between native and denatured eglin C. Biochemistry 43:4064-4070.

Shortle, D. (2003) Propensities, probabilities, and the Boltzmann hypothesis. Protein Sci. 12:1298-1302.

Fang, Q., and D. Shortle. (2003) Prediction of protein structure by emphasizing local side-chain/backbone interactions in ensembles of turn fragments. Proteins 53:486-490.

Ohnishi, S., and D. Shortle. (2003) Observation of residual dipolar couplings in short peptides. Proteins 50:546-51

Ackerman, M.S. and D. Shortle. (2002) Robustness of the long-range structure in denatured staphylococcal nuclease to changes in sequence. Biochemistry 41:13791-13797.

Shortle, D. (2002) The expanded denatured state: An ensemble of conformations trapped in a locally encoded topological space. Adv. Protein Chem. 62:1-23.

Shortle, D. (2002) Composites of local structural propensities: Evidence for local encoding of long range structure. Protein Sci. 11:18-26.

Shortle, D. and M.S. Ackerman. (2001) Persistance of native-like topology in a denatured protein in 8M urea. Science 293:487-489.

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