MPBuilder: A PyMOL Plugin for Building and Refinement of Solubilized Membrane Proteins Against Small Angle X-ray Scattering Data.

Membrane proteins (MPs) are the target of numerous structural and functional studies in biological and medical/pharmaceutical sciences. Strategies for the high-throughput structural analysis of MPs and of their perturbations driven by ligands having potential therapeutic applications are uncommon, often requiring scaled up crystallization, electron microscopy, and nuclear magnetic resonance (NMR) efforts. Small-angle X-ray scattering (SAXS) provides a rapid means to study low resolution structures and conformational changes of native MPs in solution without cumbersome sample preparations/treatment. The method requires the MPs solubilized in an appropriate medium (eg. detergents, mixed micelles and nanodiscs) and reliable and robust models are needed to describe the relevant complexes. Here we present MPBuilder, a simple and versatile tool for the generation and refinement of all-atom MP systems in the popular software PyMOL, an environment familiar to most biologists. MPBuilder provides building capability for protein-detergent, bicelle, and lipid-scaffold (saposin nanoparticles, nanodiscs) complexes and links this to the ATSAS software package modules for model refinement and validation against the SAXS data.

ATSAS 2.8: a comprehensive data analysis suite for small-angle scattering from macromolecular solutions.

ATSAS is a comprehensive software suite for the analysis of small-angle scattering data from dilute solutions of biological macromolecules or nanoparticles. It contains applications for primary data processing and assessment, ab initio bead modelling, and model validation, as well as methods for the analysis of flexibility and mixtures. In addition, approaches are supported that utilize information from X-ray crystallography, nuclear magnetic resonance spectroscopy or atomistic homology modelling to construct hybrid models based on the scattering data. This article summarizes the progress made during the 2.5-2.8 ATSAS release series and highlights the latest developments. These include AMBIMETER, an assessment of the reconstruction ambiguity of experimental data; DATCLASS, a multiclass shape classification based on experimental data; SASRES, for estimating the resolution of ab initio model reconstructions; CHROMIXS, a convenient interface to analyse in-line size exclusion chromatography data; SHANUM, to evaluate the useful angular range in measured data; SREFLEX, to refine available high-resolution models using normal mode analysis; SUPALM for a rapid superposition of low- and high-resolution models; and SASPy, the ATSAS plugin for interactive modelling in PyMOL. All these features and other improvements are included in the ATSAS release 2.8, freely available for academic users from https://www.embl-hamburg.de/biosaxs/software.html.