Literature DB >> 10631977

Structural determinants of trypsin affinity and specificity for cationic inhibitors.

F Polticelli1, P Ascenzi, M Bolognesi, B Honig.   

Abstract

The binding free energies of four inhibitors to bovine beta-trypsin are calculated. The inhibitors use either ornithine, lysine, or arginine to bind to the S1 specificity site. The electrostatic contribution to binding free energy is calculated by solving the finite difference Poisson-Boltzmann equation, the contribution of nonpolar interactions is calculated using a free energy-surface area relationship and the loss of conformational entropy is estimated both for trypsin and ligand side chains. Binding free energy values are of a reasonable magnitude and the relative affinity of the four inhibitors for trypsin is correctly predicted. Electrostatic interactions are found to oppose binding in all cases. However, in the case of ornithine- and lysine-based inhibitors, the salt bridge formed between their charged group and the partially buried carboxylate of Asp189 is found to stabilize the complex. Our analysis reveals how the molecular architecture of the trypsin binding site results in highly specific recognition of substrates and inhibitors. Specifically, partially burying Asp189 in the inhibitor-free enzyme decreases the penalty for desolvation of this group upon complexation. Water molecules trapped in the binding interface further stabilize the buried ion pair, resulting in a favorable electrostatic contribution of the ion pair formed with ornithine and lysine side chains. Moreover, all side chains that form the trypsin specificity site are partially buried, and hence, relatively immobile in the inhibitor-free state, thus reducing the entropic cost of complexation. The implications of the results for the general problem of recognition and binding are considered. A novel finding in this regard is that like charged molecules can have electrostatic contributions to binding that are more favorable than oppositely charged molecules due to enhanced interactions with the solvent in the highly charged complex that is formed.

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Year:  1999        PMID: 10631977      PMCID: PMC2144217          DOI: 10.1110/ps.8.12.2621

Source DB:  PubMed          Journal:  Protein Sci        ISSN: 0961-8368            Impact factor:   6.725


  35 in total

Review 1.  Natural protein proteinase inhibitors and their interaction with proteinases.

Authors:  W Bode; R Huber
Journal:  Eur J Biochem       Date:  1992-03-01

2.  Protein folding and association: insights from the interfacial and thermodynamic properties of hydrocarbons.

Authors:  A Nicholls; K A Sharp; B Honig
Journal:  Proteins       Date:  1991

3.  The Protein Data Bank: a computer-based archival file for macromolecular structures.

Authors:  F C Bernstein; T F Koetzle; G J Williams; E F Meyer; M D Brice; J R Rodgers; O Kennard; T Shimanouchi; M Tasumi
Journal:  J Mol Biol       Date:  1977-05-25       Impact factor: 5.469

4.  On the attribution of binding energy in antigen-antibody complexes McPC 603, D1.3, and HyHEL-5.

Authors:  J Novotny; R E Bruccoleri; F A Saul
Journal:  Biochemistry       Date:  1989-05-30       Impact factor: 3.162

5.  Calculation of the total electrostatic energy of a macromolecular system: solvation energies, binding energies, and conformational analysis.

Authors:  M K Gilson; B Honig
Journal:  Proteins       Date:  1988

6.  Trypsin-pancreatic trypsin inhibitor association. Dynamics of the interaction and role of disulfide bridges.

Authors:  J P Vincent; M Lazdunski
Journal:  Biochemistry       Date:  1972-08-01       Impact factor: 3.162

7.  On the calculation of electrostatic interactions in proteins.

Authors:  M K Gilson; A Rashin; R Fine; B Honig
Journal:  J Mol Biol       Date:  1985-08-05       Impact factor: 5.469

8.  Stability of "salt bridges" in membrane proteins.

Authors:  B H Honig; W L Hubbell
Journal:  Proc Natl Acad Sci U S A       Date:  1984-09       Impact factor: 11.205

9.  Reconciling the magnitude of the microscopic and macroscopic hydrophobic effects.

Authors:  K A Sharp; A Nicholls; R F Fine; B Honig
Journal:  Science       Date:  1991-04-05       Impact factor: 47.728

10.  Functional group contributions to drug-receptor interactions.

Authors:  P R Andrews; D J Craik; J L Martin
Journal:  J Med Chem       Date:  1984-12       Impact factor: 7.446

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