Literature DB >> 25664740

A fragmentation and reassembly method for ab initio phasing.

Rojan Shrestha1, Kam Y J Zhang1.   

Abstract

Ab initio phasing with de novo models has become a viable approach for structural solution from protein crystallographic diffraction data. This approach takes advantage of the known protein sequence information, predicts de novo models and uses them for structure determination by molecular replacement. However, even the current state-of-the-art de novo modelling method has a limit as to the accuracy of the model predicted, which is sometimes insufficient to be used as a template for successful molecular replacement. A fragment-assembly phasing method has been developed that starts from an ensemble of low-accuracy de novo models, disassembles them into fragments, places them independently in the crystallographic unit cell by molecular replacement and then reassembles them into a whole structure that can provide sufficient phase information to enable complete structure determination by automated model building. Tests on ten protein targets showed that the method could solve structures for eight of these targets, although the predicted de novo models cannot be used as templates for successful molecular replacement since the best model for each target is on average more than 4.0 Å away from the native structure. The method has extended the applicability of the ab initio phasing by de novo models approach. The method can be used to solve structures when the best de novo models are still of low accuracy.

Keywords:  ab initio phasing; de novo models; fragmentation; reassembly

Mesh:

Substances:

Year:  2015        PMID: 25664740     DOI: 10.1107/S1399004714025449

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


  8 in total

1.  MR-REX: molecular replacement by cooperative conformational search and occupancy optimization on low-accuracy protein models.

Authors:  Jouko J Virtanen; Yang Zhang
Journal:  Acta Crystallogr D Struct Biol       Date:  2018-06-08       Impact factor: 7.652

2.  Using iterative fragment assembly and progressive sequence truncation to facilitate phasing and crystal structure determination of distantly related proteins.

Authors:  Yan Wang; Jouko Virtanen; Zhidong Xue; John J G Tesmer; Yang Zhang
Journal:  Acta Crystallogr D Struct Biol       Date:  2016-04-26       Impact factor: 7.652

3.  Exploiting distant homologues for phasing through the generation of compact fragments, local fold refinement and partial solution combination.

Authors:  Claudia Millán; Massimo Domenico Sammito; Airlie J McCoy; Andrey F Ziem Nascimento; Giovanna Petrillo; Robert D Oeffner; Teresa Domínguez-Gil; Juan A Hermoso; Randy J Read; Isabel Usón
Journal:  Acta Crystallogr D Struct Biol       Date:  2018-04-03       Impact factor: 7.652

4.  ARCIMBOLDO on coiled coils.

Authors:  Iracema Caballero; Massimo Sammito; Claudia Millán; Andrey Lebedev; Nicolas Soler; Isabel Usón
Journal:  Acta Crystallogr D Struct Biol       Date:  2018-03-02       Impact factor: 7.652

5.  Fragon: rapid high-resolution structure determination from ideal protein fragments.

Authors:  Huw T Jenkins
Journal:  Acta Crystallogr D Struct Biol       Date:  2018-03-02       Impact factor: 7.652

6.  Approaches to ab initio molecular replacement of α-helical transmembrane proteins.

Authors:  Jens M H Thomas; Felix Simkovic; Ronan Keegan; Olga Mayans; Chengxin Zhang; Yang Zhang; Daniel J Rigden
Journal:  Acta Crystallogr D Struct Biol       Date:  2017-11-22       Impact factor: 7.652

7.  Fragger: a protein fragment picker for structural queries.

Authors:  Francois Berenger; David Simoncini; Arnout Voet; Rojan Shrestha; Kam Y J Zhang
Journal:  F1000Res       Date:  2017-09-22

8.  Fragment-based determination of a proteinase K structure from MicroED data using ARCIMBOLDO_SHREDDER.

Authors:  Logan S Richards; Claudia Millán; Jennifer Miao; Michael W Martynowycz; Michael R Sawaya; Tamir Gonen; Rafael J Borges; Isabel Usón; Jose A Rodriguez
Journal:  Acta Crystallogr D Struct Biol       Date:  2020-07-27       Impact factor: 7.652

  8 in total

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