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Combining MONSSTER and LES/PME to predict protein structure from amino acid sequence: Application to the small protein CMTI-1

  • Carlos Simmerling
  • , Matthew R. Lee
  • , Angel R. Ortiz
  • , Andrzej Kolinski
  • , Jeffrey Skolnick
  • , Peter A. Kollman
  • University of California at San Francisco
  • Scripps Research Institute
  • Donald Danforth Plant Science Center

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

A combined method for the prediction of protein tertiary structures from sequence is presented. This multistep procedure initially uses a simplified approach to protein structure prediction, MONSSTER, that assembles structures from initial extended conformations and scores them. Then, using the lowest-energy low-resolution model as a starting conformation, a detailed atomic model is built and refined using molecular dynamics simulations that employ the locally enhanced sampling (LES) methodology with the particle mesh Ewald (PME) technique for calculation of long-range electrostatic interactions. The combined method is applied to a small disulfide-rich 29-residue protein CMTI-1, a trypsin inhibitor found in squash seeds. Starting with an initial low-resolution model from MONSSTER, which has an rmsd from the native conformation of 3.7 Å (5.0 Å) for Cα atoms (all heavy atoms), LES/PME refinement leads to a structure that is only 2.5 Å (3.3 Å) from native, with a Cα rmsd of only 1.7 Å for residues 5-29. These rmsd values should be compared to Cα rmsd values of 1.2 Å (all residues) or 0.8 Å (residues 5-29) found in PME molecular dynamics simulations that start with the native conformation.

Original languageEnglish
Pages (from-to)8392-8402
Number of pages11
JournalJournal of the American Chemical Society
Volume122
Issue number35
DOIs
StatePublished - Sep 6 2000

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