Literature DB >> 11536361

Coordination topology and stability for the native and binding conformers of chymotrypsin inhibitor 2.

C Baysal1, A R Atilgan.   

Abstract

We demonstrate that the stabilization of the binding region is accomplished at the expense of a loss in the stability of the rest of the protein. A novel molecular mechanics (MM) approach is introduced to distinguish residue stabilities of proteins in a given conformation. As an example, the relative stabilities of folded chymotrypsin inhibitor 2 (CI2) in unbound form, and CI2 in complex with subtilisin novo is investigated. The conformation of the molecule in the two states is almost identical, with an approximately 0.6-A root-mean-square deviation (RMSD) of the Calpha atoms. On binding, the packing density changes only at the binding loop. However, residue fluctuations in the rest of the protein are greatly altered solely due to those contacts, indicating the effective propagation of perturbation and the presence of remotely controlling residues. To quantify the interplay between packing density, packing order, residue fluctuations, and residue stability, we adopt an MM approach whereby small displacements are inserted at selected residues, followed by energy minimization; the displacement of each residue in response to such perturbations are organized in a perturbation-response matrix L. We define residue stability lambda(i) = summation operator((j)L(ij))/ summation operator((j) L(ji)) as the ratio of the amount of change to which the residue is amenable, to the ability of a given residue to induce change. We then define the free energy associated with residue stability, DeltaG(lambda) = -RT ln lambda. DeltaG(lambda) intrinsically selects the residues that are in the folding core. Upon complexation, the binding loop becomes more resistant to perturbation, in contrast to the alpha-helix that favors change. Although the two forms of CI2 are structurally similar, residue fluctuations differ vastly, and the stability of many residues is altered upon binding. The decrease in entropy introduced by binding is thus compensated by these changes. Copyright 2001 Wiley-Liss, Inc.

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Year:  2001        PMID: 11536361     DOI: 10.1002/prot.1124

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  11 in total

1.  Small-world communication of residues and significance for protein dynamics.

Authors:  Ali Rana Atilgan; Pelin Akan; Canan Baysal
Journal:  Biophys J       Date:  2004-01       Impact factor: 4.033

2.  Relaxation kinetics and the glassiness of proteins: the case of bovine pancreatic trypsin inhibitor.

Authors:  Canan Baysal; Ali Rana Atilgan
Journal:  Biophys J       Date:  2002-08       Impact factor: 4.033

3.  Manipulation of conformational change in proteins by single-residue perturbations.

Authors:  C Atilgan; Z N Gerek; S B Ozkan; A R Atilgan
Journal:  Biophys J       Date:  2010-08-04       Impact factor: 4.033

4.  Relaxation kinetics and the glassiness of native proteins: coupling of timescales.

Authors:  Canan Baysal; Ali Rana Atilgan
Journal:  Biophys J       Date:  2004-12-13       Impact factor: 4.033

5.  Screened nonbonded interactions in native proteins manipulate optimal paths for robust residue communication.

Authors:  Ali Rana Atilgan; Deniz Turgut; Canan Atilgan
Journal:  Biophys J       Date:  2007-02-09       Impact factor: 4.033

6.  A new peptide docking strategy using a mean field technique with mutually orthogonal Latin square sampling.

Authors:  P Arun Prasad; N Gautham
Journal:  J Comput Aided Mol Des       Date:  2008-05-09       Impact factor: 3.686

7.  Monitoring aromatic picosecond to nanosecond dynamics in proteins via 13C relaxation: expanding perturbation mapping of the rigidifying core mutation, V54A, in eglin c.

Authors:  Joshua A Boyer; Andrew L Lee
Journal:  Biochemistry       Date:  2008-04-05       Impact factor: 3.162

8.  The gaussian network model: precise prediction of residue fluctuations and application to binding problems.

Authors:  Burak Erman
Journal:  Biophys J       Date:  2006-08-25       Impact factor: 4.033

9.  Assortative mixing in close-packed spatial networks.

Authors:  Deniz Turgut; Ali Rana Atilgan; Canan Atilgan
Journal:  PLoS One       Date:  2010-12-16       Impact factor: 3.240

10.  Perturbation-response scanning reveals ligand entry-exit mechanisms of ferric binding protein.

Authors:  Canan Atilgan; Ali Rana Atilgan
Journal:  PLoS Comput Biol       Date:  2009-10-23       Impact factor: 4.475

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