The importance of alignment accuracy for molecular replacement.
By R. Schwarzenbacher, Adam Godzik, Slawomir K. Grzechnik, Lukasz Jaroszewski. 2004
152 citations recorded by the source corpus.
Subfields: Materials Chemistry, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Materials Chemistry
- Yang Zhang
- Randy J. Read
- Paul D. Adams
- Ben M. Webb
- Andrej Sali
- Pavel V. Afonine
- David Baker
- T. C. Terwilliger
In Molecular Biology
- Yang Zhang
- Andrej Sali
- Randy J. Read
- Ben M. Webb
- David Baker
- Paul D. Adams
- Jinbo Xu
- T. C. Terwilliger
Citations in the corpus
- I-TASSER-MR: automated molecular replacement for distant-homology proteins using iterative fragment assembly and progressive sequence truncation (2017, methodology): “designed the JCSG MR pipeline according to their finding that the more sophisticated profile–profile alignment methods (FFAS) can improve distant-homology template detection and increase the success rate of MR in cases of low target-template similarity (8,9).”
- Improvement of molecular-replacement models with Sculptor (2011, methodology): “It has been established by Schwarzenbacher et al. (2004) that a correct alignment is very important for optimal modification.”
- Phaser crystallographic software (2007, methodology): “There are also various ways of editing structures before use as MR models (Schwarzenbacher et al., 2004).”
- Assessment of CASP7 predictions in the high accuracy template‐based modeling category (2007, background): “9 However, there have been signs that modeling algorithms have improved to the point that they can now be useful for molecular replacement.”
- Phaser.MRage: automated molecular replacement (2013, background): “…improvements in the accuracy of homology detection (Jaroszewski et al., 2005; Söding et al., 2005) and developments in model improvement (Schwarzenbacher et al., 2004; Bunkóczi & Read, 2011) have enabled the reliable identification of more distant homologues and improved their…”
- High resolution protein structure prediction and the crystallographic phase problem (2007, background): “from the NMR structure ensemble; (3) preparation of blind predictions; (4)”
- The Phenix Software for Automated Determination of Macromolecular Structures (2011, methodology): “The best strategy was to use sensitive profile-profile alignment techniques to determine which parts of the template would not be preserved, and then to trim off loops and sidechains[37].”
- Structures of bovine, equine and leporine serum albumin. (2012, methodology): “The amino-acid sequence was modified with the program CHAINSAW (Stein, 2008; Schwarzenbacher et al., 2004); the side chains were removed from the model, leaving only the part common to the sequence of the target protein.”
- Comparative Protein Structure Modeling Using MODELLER (2016, methodology): “Models with such high accuracy have been shown to be useful even for refining crystallographic structures by the method of molecular replacement (Howell et al., 1992; Baker and Sali, 2001; Jones, 2001; Claude et al., 2004; Schwarzenbacher et al., 2004).”
- phenix.mr_rosetta: molecular replacement and model rebuilding with Phenix and Rosetta (2012, methodology): “…starting templates for molecular replacement have been obtained by judicious pruning of parts of models that are less likely to be correct [5, 6, 7], by creating ensembles of templates [8, 9], using normal mode analysis [10, 11], and by systematic searches using many or all of the proteins in…”
- On the application of the expected log-likelihood gain to decision making in molecular replacement (2018, methodology): “…the Protein Data Bank prior to molecular replacement is a well established method for improving the signal, and often makes the difference between success and failure (Schwarzenbacher et al., 2004; Bunkóczi & 250 Oeffner et al. Expected LLG in decision making in molecular replacement Acta Cryst.”
- FFAS03: a server for profile–profile sequence alignments (2005, methodology): “Molecular replacement search models based on the FFAS alignments allowed determination of several protein structures impossible to solve with less accurate models (30).”
- Comparative Protein Structure Modeling Using Modeller (2006, methodology): “Models with such high accuracy have been shown to be useful even for refining crystallographic structures by the method of molecular replacement (Howell et al., 1992; Baker and Sali, 2001; Jones, 2001; Claude et al., 2004; Schwarzenbacher et al., 2004).”
- The utility of comparative models and the local model quality for protein crystal structure determination by Molecular Replacement (2012, methodology): “Finally, as shown by the Godzik group [8], the likelihood of solving the phase problem for a given protein increases for extensive MR searches using the population of alternative alignments.”
- MUSTANG: A multiple structural alignment algorithm (2006, background): “This is crucial for solving difficult MR problems where the sequence identity of available MR probes is low.(3) In addition, high-quality multiple alignments, based on structures, will improve the sensitivity of iterative database searching procedures such as PSI-BLAST.”
- Application of DEN refinement and automated model building to a difficult case of molecular-replacement phasing: the structure of a putative succinyl-diaminopimelate desuccinylase from Corynebacterium glutamicum (2012, methodology): “The success of molecular replacement depends on optimal sequence alignment between homologous structure and target sequence (Schwarzenbacher et al., 2004; Bunkóczi & Read, 2011).”