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FindEM--a fast, efficient program for automatic selection of particles from electron micrographs.

A M Roseman1

  • 1Medical Research Council-Laboratory of Molecular Biology, Hills Road, England, Cambridge CB2 2QH, UK. roseman@mrc-lmb.cam.ac.uk

Journal of Structural Biology
|April 7, 2004
PubMed
Summary
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The FindEM program effectively identifies particles for structural analysis. It offers two methods: one for refining known structures and another using multivariate statistical analysis for unknown structures, aiding in determining symmetry and oligomeric state.

Area of Science:

  • Cryo-electron microscopy
  • Structural biology
  • Computational biology

Background:

  • Accurate particle picking is crucial for single-particle analysis in cryo-electron microscopy.
  • The FindEM program is a tool designed for automated particle identification.

Purpose of the Study:

  • To evaluate the performance of the FindEM particle picking program on a standard dataset.
  • To demonstrate and compare two distinct approaches for utilizing FindEM in structural determination.

Main Methods:

  • Testing FindEM on the keyhole limpet hemocyanin (KLH) dataset.
  • Applying exhaustive projection matching with known views for high-resolution refinement.
  • Utilizing multivariate statistical analysis (MSA) to filter false positives from initial particle sets.

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Main Results:

  • Both tested methods provided valuable results for particle selection.
  • Exhaustive projection matching is suitable for extending known structures.
  • MSA-based filtering effectively identifies relevant particles for unknown structures, revealing symmetry and oligomeric state.

Conclusions:

  • FindEM is a versatile tool for particle picking in cryo-electron microscopy.
  • The choice of method depends on whether the target structure is known or unknown.
  • Further improvements in speed and accuracy are anticipated for FindEM.