2020
DOI: 10.1107/s1600576719015115
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IPCAS: a direct-method-based pipeline from phasing to model building and refinement for macromolecular structure determination

Abstract: A new version (2.0) of the pipeline IPCAS (Iterative Protein Crystal structure Automatic Solution) has been released, in which the program OASIS performs direct-method single-wavelength anomalous diffraction/single isomorphous replacement phasing and direct-method-aided partial-structure extension. IPCAS incorporates the widely used packages CCP4 and PHENIX for locating heavy atoms, density modification, molecular replacement, model building and refinement. Important extensions to the previous version of IPCAS… Show more

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Cited by 8 publications
(7 citation statements)
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References 50 publications
(46 reference statements)
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“…Specifically, we tested different combinations of predicted models by Alpha-Fold (Jumper et al, 2021) from CASP14 (Kryshtafovych, Schwede et al, 2021) in three cases: full-length model, multiple single-domain models and individual single-domain model. In this strategy, we performed MR using Phaser (McCoy et al, 2007) in CCP4 (Winn et al, 2011), followed by phases extension using OASIS (Zhang et al, 2010), density modification using DM (Cowtan, 1994) or Parrot (Cowtan, 2010), and alternative model building using Phenix.AutoBuild (Terwilliger et al, 2008) and Buccaneer (Cowtan, 2006) within the framework of IPCAS 2.0 (Ding et al, 2020). Our results demonstrate that our approach effectively corrects model bias introduced by the predicted models and improves the final structures.…”
Section: Introductionmentioning
confidence: 70%
See 1 more Smart Citation
“…Specifically, we tested different combinations of predicted models by Alpha-Fold (Jumper et al, 2021) from CASP14 (Kryshtafovych, Schwede et al, 2021) in three cases: full-length model, multiple single-domain models and individual single-domain model. In this strategy, we performed MR using Phaser (McCoy et al, 2007) in CCP4 (Winn et al, 2011), followed by phases extension using OASIS (Zhang et al, 2010), density modification using DM (Cowtan, 1994) or Parrot (Cowtan, 2010), and alternative model building using Phenix.AutoBuild (Terwilliger et al, 2008) and Buccaneer (Cowtan, 2006) within the framework of IPCAS 2.0 (Ding et al, 2020). Our results demonstrate that our approach effectively corrects model bias introduced by the predicted models and improves the final structures.…”
Section: Introductionmentioning
confidence: 70%
“…The incorrect placement of the D2 model directly resulted in a high phase error (74 ) of the MR structure in case 26. However, due to the unique NCS search function in IPCAS, the accurate NCS matrix was successfully obtained in the first cycle of the IPCAS iteration (Ding et al, 2020), and the missing part of model was completed in the third cycle, reducing the phase error to approximately 25 . The remaining three cases have a more ideal starting structure, so the correction in IPCAS also works well.…”
Section: Details Of Remarkable Casesmentioning
confidence: 99%
“…The initial phases had a figure of merit (FOM) of 0.444 in the resolution range 47.95-3.30 Å. The intrinsic phase ambiguity was broken by iterative direct-methods SAD phasing rooted in the pipeline Iterative Protein Crystal structure Automatic Solution (IPCAS) (Ding et al, 2020). The iteration control was set as OASIS-DM-AutoBuild/Buccaneer with 15 cycles.…”
Section: Data Collection Phasing and Structure Determinationmentioning
confidence: 99%
“…Until now, current IPA-based phasing algorithms have not been adopted for routine application in protein structure determination. Nevertheless, dualspace constraints have many applications in substructure determination (Weeks & Miller, 1999;Schneider & Sheldrick, 2002), phase extension (Ding et al, 2020) and density modification (Main, 1990;Rossmann, 1995). With regard to density constraints, solvent flattening (Wang, 1985), histogram matching (Zhang & Main, 1990) and NCS averaging (Bricogne, 1974) are the most common methods.…”
Section: Introductionmentioning
confidence: 99%