Literature DB >> 32011127

PyShifts: A PyMOL Plugin for Chemical Shift-Based Analysis of Biomolecular Ensembles.

Jingru Xie1, Kexin Zhang2, Aaron T Frank3.   

Abstract

Here, we present PyShifts-a PyMOL plugin for chemical shift-based analysis of biomolecular ensembles. With PyShifts, users can compare and visualize differences between experimentally measured and computationally predicted chemical shifts. When analyzing multiple conformations of a biomolecule with PyShifts, users can also sort a set of conformations based on chemical shift differences and identify the conformers that exhibit the best agreement between measured and predicted chemical shifts. Although we have integrated PyShifts with the chemical shift predictors LARMORD and LARMORCα, PyShifts can read in chemical shifts from any source, and so, users can employ PyShifts to analyze biomolecular structures using chemical shifts computed by any chemical shift predictor. We envision, therefore, that PyShifts (https://github.com/atfrank/PyShifts) will find utility as a general-purpose tool for exploring chemical shift-structure relationships in biomolecular ensembles.

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Year:  2020        PMID: 32011127     DOI: 10.1021/acs.jcim.9b01039

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  1 in total

1.  Crystal structures of bacterial small multidrug resistance transporter EmrE in complex with structurally diverse substrates.

Authors:  Ali A Kermani; Olive E Burata; B Ben Koff; Akiko Koide; Shohei Koide; Randy B Stockbridge
Journal:  Elife       Date:  2022-03-07       Impact factor: 8.713

  1 in total

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