Literature DB >> 16204887

Automated crystallographic ligand building using the medial axis transform of an electron-density isosurface.

Jun Aishima1, Daniel S Russel, Leonidas J Guibas, Paul D Adams, Axel T Brunger.   

Abstract

Automatic fitting methods that build molecules into electron-density maps usually fail below 3.5 A resolution. As a first step towards addressing this problem, an algorithm has been developed using an approximation of the medial axis to simplify an electron-density isosurface. This approximation captures the central axis of the isosurface with a graph which is then matched against a graph of the molecular model. One of the first applications of the medial axis to X-ray crystallography is presented here. When applied to ligand fitting, the method performs at least as well as methods based on selecting peaks in electron-density maps. Generalization of the method to recognition of common features across multiple contour levels could lead to powerful automatic fitting methods that perform well even at low resolution.

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Year:  2005        PMID: 16204887     DOI: 10.1107/S0907444905023152

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


  9 in total

1.  Models of protein-ligand crystal structures: trust, but verify.

Authors:  Marc C Deller; Bernhard Rupp
Journal:  J Comput Aided Mol Des       Date:  2015-02-10       Impact factor: 3.686

2.  Automatic recognition of ligands in electron density by machine learning.

Authors:  Marcin Kowiel; Dariusz Brzezinski; Przemyslaw J Porebski; Ivan G Shabalin; Mariusz Jaskolski; Wladek Minor
Journal:  Bioinformatics       Date:  2019-02-01       Impact factor: 6.937

3.  Fragmentation-tree density representation for crystallographic modelling of bound ligands.

Authors:  Gerrit G Langer; Guillaume X Evrard; Ciaran G Carolan; Victor S Lamzin
Journal:  J Mol Biol       Date:  2012-03-23       Impact factor: 5.469

4.  qFit-ligand Reveals Widespread Conformational Heterogeneity of Drug-Like Molecules in X-Ray Electron Density Maps.

Authors:  Gydo C P van Zundert; Brandi M Hudson; Saulo H P de Oliveira; Daniel A Keedy; Rasmus Fonseca; Amelie Heliou; Pooja Suresh; Kenneth Borrelli; Tyler Day; James S Fraser; Henry van den Bedem
Journal:  J Med Chem       Date:  2018-12-06       Impact factor: 7.446

5.  Automated ligand fitting by core-fragment fitting and extension into density.

Authors:  Thomas C Terwilliger; Herbert Klei; Paul D Adams; Nigel W Moriarty; Judith D Cohn
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2006-07-18

6.  Assisted assignment of ligands corresponding to unknown electron density.

Authors:  T Andrew Binkowski; Marianne Cuff; Boguslaw Nocek; Changsoo Chang; Andrzej Joachimiak
Journal:  J Struct Funct Genomics       Date:  2010-01-21

7.  Recognizing and validating ligands with CheckMyBlob.

Authors:  Dariusz Brzezinski; Przemyslaw J Porebski; Marcin Kowiel; Joanna M Macnar; Wladek Minor
Journal:  Nucleic Acids Res       Date:  2021-07-02       Impact factor: 16.971

8.  Assessment of automatic ligand building in ARP/wARP.

Authors:  Guillaume X Evrard; Gerrit G Langer; Anastassis Perrakis; Victor S Lamzin
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2006-12-13

9.  Automated identification of crystallographic ligands using sparse-density representations.

Authors:  C G Carolan; V S Lamzin
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  2014-06-29
  9 in total

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