SearcharxivSearch

arXiv subjects

R. B. Freedman

Publications and source records attributed to R. B. Freedman.

2 recordsLinked to original sources

Characterizing the folding core of the cyclophilin A - cyclosporin A complex I: hydrogen exchange data and rigidity analysis

The determination of a 'folding core' can help to provide insight into the structure, flexibility, mobility and dynamics, and hence, ultimately, function of a protein - a central concern of structural biology. Changes in the folding core upon ligand binding are of particular interest because they may be relevant to drug-induced functional changes. Cyclophilin A is a multi-functional ligand-binding protein and a significant drug target. It acts principally as an enzyme during protein folding, but also as the primary binding partner for the immunosuppressant drug cyclosporin A (CsA). Here, we have used hydrogen-deuterium exchange (HDX) NMR spectroscopy to determine the folding core of the CypA-CsA complex. We also use the rapid computational tool of rigidity analysis, implemented in FIRST, to determine a theoretical folding core of the complex. In addition we generate a theoretical folding core for the unbound protein and compare this with previously published HDX data. The FIRST method gives a good prediction of the HDX folding core, but we find that it is not yet sufficiently sensitive to predict the effects of ligand binding on CypA.

q-bio.BM

Rapid simulation of protein motion: merging flexibility, rigidity and normal mode analyses

Protein function frequently involves conformational changes with large amplitude on timescales which are difficult and computationally expensive to access using molecular dynamics. In this paper, we report on the combination of three computationally inexpensive simulation methods-normal mode analysis using the elastic network model, rigidity analysis using the pebble game algorithm, and geometric simulation of protein motion-to explore conformational change along normal mode eigenvectors. Using a combination of ELNEMO and FIRST/FRODA software, large-amplitude motions in proteins with hundreds or thousands of residues can be rapidly explored within minutes using desktop computing resources. We apply the method to a representative set of six proteins covering a range of sizes and structural characteristics and show that the method identifies specific types of motion in each case and determines their amplitude limits.

q-bio.BM