Literature DB >> 15299364

Using genetic algorithms for solving heavy-atom sites.

G Chang1, M Lewis.   

Abstract

A novel procedure has been developed for locating heavy-atom positions in crystals of macromolecules. This method used genetic algorithms (GA's) to search for heavy-atom sites that are consistent with an observed difference Patterson function. The procedure is straightforward to apply, space-group independent, and particularly powerful for cases involving non-crystallographic symmetry of multiple heavy atoms in the asymmetric unit. In this paper, we introduce how GA's are used for determining the heavy-atom positions and show how this method is more efficient than a sequential search.

Entities:  

Year:  1994        PMID: 15299364     DOI: 10.1107/S0907444994000727

Source DB:  PubMed          Journal:  Acta Crystallogr D Biol Crystallogr        ISSN: 0907-4449


  5 in total

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Authors:  D E Clark; D R Westhead
Journal:  J Comput Aided Mol Des       Date:  1996-08       Impact factor: 3.686

2.  Automated MAD and MIR structure solution.

Authors:  T C Terwilliger; J Berendzen
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  1999-04

3.  Discrimination of solvent from protein regions in native Fouriers as a means of evaluating heavy-atom solutions in the MIR and MAD methods.

Authors:  T C Terwilliger; J Berendzen
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  1999-02

4.  Evaluation of macromolecular electron-density map quality using the correlation of local r.m.s. density.

Authors:  T C Terwilliger; J Berendzen
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  1999-11

5.  Merging of synchrotron serial crystallographic data by a genetic algorithm.

Authors:  Ulrich Zander; Michele Cianci; Nicolas Foos; Catarina S Silva; Luca Mazzei; Chloe Zubieta; Alejandro de Maria; Max H Nanao
Journal:  Acta Crystallogr D Struct Biol       Date:  2016-08-18       Impact factor: 7.652

  5 in total

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