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Mykhaylyk, V.

Publications and source records attributed to Mykhaylyk, V..

2 recordsLinked to original sources

High-confidence placement of difficult-to-fit fragments into electron density by using anomalous signals - a case study using hits targeting SARS-CoV-2 non-structural protein 1

The identification of multiple simultaneous orientations of small molecule inhibitors binding to a protein target is a common challenge. It has recently been reported that the conformational heterogeneity of ligands is widely underreported in the Protein Data Bank, which is likely to impede optimal exploitation to improve affinity of these ligands1. Significantly less is even known about multiple binding orientations for fragments (< 300 Da) although this information would be essential for subsequent fragment optimisation using growing, linking or merging and rational structure-based design. Here we use recently reported fragment hits for the SARS-CoV-2 non-structural protein 1 (nsp1) N-terminal domain to propose a general procedure for unambiguously identifying binding orientations of 2-dimensional fragments containing either sulphur or chloro substituents within the wavelength range of most tunable beamlines. By measuring datasets at two energies, using a tuneable beamline operating in vacuum and optimised for data collection at very low X-ray energies, we show that the anomalous signal can be used to identify multiple orientations in small fragments containing sulphur and/or chloro substituents or to verify recently reported conformations. Although in this specific case we identified the positions of sulphur and chlorine in fragments bound to their protein target, we are confident that this work can be further expanded to additional atoms or ions which often occur in fragments. Finally, our improvements in the understanding of binding orientations will also serve to advance the rational optimisation of SARS-CoV-2 nsp1 targeting fragment hits.

biochemistry↗

Identifying dynamic, partially occupied residues using anomalous scattering

X-ray crystallography is generally used to take single snapshots of a proteins conformation. The important but difficult task of characterizing structural ensembles in crystals is typically limited to small conformational changes, such as multiple side-chain conformations. A crystallographic method was recently introduced that utilizes Residual Anomalous and Electron Density (READ) to characterize structural ensembles encompassing large-scale structural changes. Key to this method is an ability to accurately measure anomalous signals and distinguish them from noise or other anomalous scatterers. This report presents an optimized data collection and analysis strategy for partially occupied iodine anomalous signals. Using the long wavelength-optimized beamline I23 at Diamond Light Source, the ability to accurately distinguish the positions of anomalous scatterers with as low as ~12% occupancy is demonstrated. The number and position of these anomalous scatterers are consistent with previous biophysical, kinetic and structural data that suggest the protein Im7 binds to the chaperone Spy in multiple partially occupied conformations. This study shows that a long-wavelength beamline results in easily validated anomalous signals that are strong enough to be used to detect and characterize highly dynamic sections of crystal structures.\n\nSynopsisStructural studies on partially occupied, dynamic protein systems by crystallography are difficult. We present methods here for detecting these states in crystals.

biophysics↗