Protein:Ligand binding free energies: A stringent test for computational protein design

J Comput Chem. 2016 Feb 5;37(4):404-15. doi: 10.1002/jcc.24230. Epub 2015 Oct 27.

Abstract

A computational protein design method is extended to allow Monte Carlo simulations where two ligands are titrated into a protein binding pocket, yielding binding free energy differences. These provide a stringent test of the physical model, including the energy surface and sidechain rotamer definition. As a test, we consider tyrosyl-tRNA synthetase (TyrRS), which has been extensively redesigned experimentally. We consider its specificity for its substrate l-tyrosine (l-Tyr), compared to the analogs d-Tyr, p-acetyl-, and p-azido-phenylalanine (ac-Phe, az-Phe). We simulate l- and d-Tyr binding to TyrRS and six mutants, and compare the structures and binding free energies to a more rigorous "MD/GBSA" procedure: molecular dynamics with explicit solvent for structures and a Generalized Born + Surface Area model for binding free energies. Next, we consider l-Tyr, ac- and az-Phe binding to six other TyrRS variants. The titration results are sensitive to the precise rotamer definition, which involves a short energy minimization for each sidechain pair to help relax bad contacts induced by the discrete rotamer set. However, when designed mutant structures are rescored with a standard GBSA energy model, results agree well with the more rigorous MD/GBSA. As a third test, we redesign three amino acid positions in the substrate coordination sphere, with either l-Tyr or d-Tyr as the ligand. For two, we obtain good agreement with experiment, recovering the wildtype residue when l-Tyr is the ligand and a d-Tyr specific mutant when d-Tyr is the ligand. For the third, we recover His with either ligand, instead of wildtype Gln.

Keywords: aminoacyl-tRNA synthetase; continuum electrostatics; molecular dynamics.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Binding Sites / drug effects
  • Ligands
  • Molecular Dynamics Simulation
  • Monte Carlo Method
  • Mutant Proteins / chemistry
  • Mutant Proteins / genetics
  • Mutant Proteins / metabolism
  • Protein Binding
  • Thermodynamics*
  • Tyrosine / chemistry*
  • Tyrosine / metabolism*
  • Tyrosine-tRNA Ligase / chemistry*
  • Tyrosine-tRNA Ligase / genetics
  • Tyrosine-tRNA Ligase / metabolism*

Substances

  • Ligands
  • Mutant Proteins
  • Tyrosine
  • Tyrosine-tRNA Ligase