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Software tools for molecular microscopy.

Ross Smith1, Bridget Carragher

  • 1Department of Cell Biology, New York University School of Medicine, New York, NY, USA.

Journal of Structural Biology
|April 15, 2008
PubMed
Summary
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Software development for macromolecular structure determination has lagged behind hardware advancements. This review examines past progress and future challenges in computational biology software.

Area of Science:

  • Structural biology
  • Computational biology
  • Biophysics

Background:

  • Rapid advancements in computer hardware have significantly increased computational power.
  • This increased power is crucial for solving complex macromolecular structures.

Purpose of the Study:

  • To provide an overview of past developments in software tools for structural biology.
  • To discuss future prospects and challenges in this field.

Main Methods:

  • Review of historical software development trends.
  • Analysis of the relationship between hardware progress and software evolution.

Main Results:

  • Software development has not kept pace with hardware capabilities.
  • The creation of specialized analytical methods for macromolecular structures is complex and slow.

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Conclusions:

  • The field faces challenges in developing sophisticated software for structural biology.
  • Future efforts must address the complexity of specialized analytical methods to fully leverage computational power.