Breaking free from the crystal lattice: Structural biology in solution to study protein degraders

Haubrich, Kevin; Spiteri, Valentina A.; Farnaby, William; Sobott, Frank; Ciulli, Alessio

doi:10.1016/j.sbi.2023.102534

Cited by 5 publications

(1 citation statement)

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“…Other methods, such as structural MS and atomicforce microscopy (AFM), go a step further, by physically sorting particles and assessing their individual properties, being intrinsically free from averaging shortcomings. Structural MS includes different strategies (Haubrich et al, 2023). Native MS provides species distributions of conformers and supramolecular complexes upon gentle desolvation and ionization, yielding values of stoichiometry and solvent accessible surface area (Tamara et al, 2022).…”

Section: Methodological Approachesmentioning

confidence: 99%

Protein structure and dynamics in the era of integrative structural biology

Grandori

2023

Front. Biophys.

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Proteins carry out their biological activity as dynamic structures and populate in solution or in biological membranes structural distributions with different degrees of heterogeneity. The central challenge in structural biology is to capture protein structural dynamics under equilibrium or kinetic conditions shifting from single, static pictures to movies of conformational ensembles. Ideally, this task should be pursued both in vitro and in vivo, under the influence of the native environment. The last decade has seen a tremendous development of biophysical methods for the investigation of protein structure and dynamics. However, each method has specific limitations and no single approach offers such a complex level of description. Nonetheless, the combination of experimental and computational, complementary methods is opening promising new avenues. Also the ambition of implementing structural studies on an “omic” scale is becoming more and more realistic. In spite of still major limitations, integrative structural biology is bringing dynamics into structural proteomics, with exciting perspectives for basic and applied sciences.

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Section: Methodological Approachesmentioning

confidence: 99%