Abstract

The ability to precisely visualize the atomic geometry of the interactions between a drug and its protein target in structural models is critical in predicting the correct modifications in previously identified inhibitors to create more effective next generation drugs. It is currently common practice among medicinal chemists while attempting the above to access the information contained in three-dimensional structures by using two-dimensional projections, which can preclude disclosure of useful features. A more accessible and intuitive visualization of the three-dimensional configuration of the atomic geometry in the models can be achieved through the implementation of immersive virtual reality (VR). While bespoke commercial VR suites are available, in this work, we present a freely available software pipeline for visualising protein structures through VR. New consumer hardware, such as the HTC Vive and the Oculus Rift utilized in this study, are available at reasonable prices. As an instructive example, we have combined VR visualization with fast algorithms for simulating intramolecular motions of protein flexibility, in an effort to further improve structure-led drug design by exposing molecular interactions that might be hidden in the less informative static models. This is a paradigmatic test case scenario for many similar applications in computer-aided molecular studies and design.

Highlights

  • Proteins are three-dimensional (3D) objects [1] and, for the last century, spatially-resolved structural models of proteins and other biologically relevant molecules have been provided by various experimental techniques

  • E.g., antimicrobial resistance (AMR) context, viewing protein structures and their dynamics and understanding how mutations can lead to conformational changes and, changes in binding regions that are relevant to AMR, is essential

  • We present a way to visualise and interact with both static structure and dynamics of proteins by using virtual reality (VR)

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Summary

Introduction

Proteins are three-dimensional (3D) objects [1] and, for the last century, spatially-resolved structural models of proteins and other biologically relevant molecules have been provided by various experimental techniques. X-ray crystallography was instrumental in this revolution [2] with the very first structure of a protein resolved by this method in the 1950s [3]. One of the ways we could potentially access this information is by interacting with, manipulating and visualising static and dynamic models of such proteins in 3D. These might be constructed as real objects or exist in a virtual reality (VR) environment. E.g., AMR context, viewing protein structures and their dynamics and understanding how mutations can lead to conformational changes and, changes in binding regions that are relevant to AMR, is essential

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