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Protein structure: what is it possible to predict now?

A V Finkelstein1

  • 1Institute of Protein Research, Russian Academy of Sciences, 142292 Pushchino, Moscow Region, Russia. afinkel@sun.ipr.serpukhov.su

Current Opinion in Structural Biology
|February 1, 1997
PubMed
Summary

Computational protein folding prediction is advancing, but precise energy calculations and utilizing all interactions remain challenging. Employing distant homologues can generalize folding patterns, reducing errors in structure prediction.

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Area of Science:

  • * Computational biology
  • * Structural bioinformatics
  • * Protein folding

Background:

  • * Protein fold prediction techniques, including dynamic programming and self-consistent field theory, are no longer the primary limitation.
  • * Current protein structure prediction methods utilize only a subset of intra-chain interactions, and their energies are not precisely known.
  • * Inaccurate energy estimations and incomplete interaction utilization are the principal sources of errors in protein structure prediction.

Purpose of the Study:

  • * To identify the primary sources of errors in current protein structure prediction methods.
  • * To explore strategies for reducing errors in protein folding predictions.
  • * To investigate the potential of using distant homologues for improved protein structure prediction.

Main Methods:

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  • * Analysis of existing computational techniques for protein fold recognition and prediction.
  • * Evaluation of the impact of interaction energies on prediction accuracy.
  • * Application of comparative analysis using multiple distant protein homologues.

Main Results:

  • * Computational methods for sorting protein folds are no longer the bottleneck.
  • * The main source of errors stems from incomplete use of interactions and imprecise energy calculations.
  • * Utilizing numerous distant homologues can reduce errors but may lead to generalized folding patterns instead of specific details.

Conclusions:

  • * Addressing inaccuracies in interaction energies and utilizing all operative interactions are crucial for improving protein structure prediction.
  • * Employing a large set of distant homologues offers a viable strategy for error reduction and generalized folding pattern prediction.