Literature DB >> 12398343

An efficient method for reconstructing protein backbones from alpha-carbon coordinates.

Yoriko Iwata1, Atsushi Kasuya, Shuichi Miyamoto.   

Abstract

We present an approach for building protein backbones from alpha-carbon (Calpha) coordinates. The approach is analytical and based on the information of favored regions in the Ramachandran map. The backbone construction consists of three parts: prediction of (phi, psi) angle pairs from the Calpha trace, generation of atomic coordinates with these (phi, psi) angles, and refinement by subsequent energy minimization. Tests on several known protein structures show that the root mean square deviations in reconstructed backbones are 0.25-0.48 A for coordinates and 14-34 degrees for phi and psi angles. The results indicate that our method is one of the best methods proposed in terms of accuracy. It has also been revealed that the approach is not only robust against errors in Calpha coordinates but is also capable of providing equivalent or more reasonable models compared to other known methods. Furthermore, backbone structures were found to be built accurately by using the (phi, psi) angles from a different structure of the same protein. This suggests that the approach could be effective and useful in homology modeling studies.

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Year:  2002        PMID: 12398343     DOI: 10.1016/s1093-3263(02)00142-0

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  4 in total

1.  Discrete restraint-based protein modeling and the Calpha-trace problem.

Authors:  Mark A DePristo; Paul I W De Bakker; Reshma P Shetty; Tom L Blundell
Journal:  Protein Sci       Date:  2003-09       Impact factor: 6.725

2.  SABBAC: online Structural Alphabet-based protein BackBone reconstruction from Alpha-Carbon trace.

Authors:  Julien Maupetit; R Gautier; Pierre Tufféry
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

3.  OPUS-CSF: A C-atom-based scoring function for ranking protein structural models.

Authors:  Gang Xu; Tianqi Ma; Tianwu Zang; Qinghua Wang; Jianpeng Ma
Journal:  Protein Sci       Date:  2017-11-06       Impact factor: 6.725

4.  DeepTracer for fast de novo cryo-EM protein structure modeling and special studies on CoV-related complexes.

Authors:  Jonas Pfab; Nhut Minh Phan; Dong Si
Journal:  Proc Natl Acad Sci U S A       Date:  2021-01-12       Impact factor: 11.205

  4 in total

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