1 citations · 1 across the 3 of their papers we have counts for
7 papers
A Birds-eye (Re)View of Acid-suppression Drugs, COVID-19, and the Highly Variable Literature
Cameron Mura, Saskia Preissner, Robert Preissner +1
We consider the recent surge of information on the potential benefits of acid-suppression drugs in the context of COVID-19, with an eye on the variability (and confusion) across th…
Deep Learning of Protein Structural Classes: Any Evidence for an 'Urfold'?
Menuka Jaiswal, Saad Saleem, Yonghyeon Kweon +4
Recent computational advances in the accurate prediction of protein three-dimensional (3D) structures from amino acid sequences now present a unique opportunity to decipher the int…
Machine Learning for Classification of Protein Helix Capping Motifs
Sean Mullane, Ruoyan Chen, Sri Vaishnavi Vemulapalli +4
The biological function of a protein stems from its 3-dimensional structure, which is thermodynamically determined by the energetics of interatomic forces between its amino acid bu…
Ten Quick Tips for Using a Raspberry Pi
Anthony C Fletcher, Cameron Mura
Much of biology (and, indeed, all of science) is becoming increasingly computational. We tend to think of this in regards to algorithmic approaches and software tools, as well as i…
Structural biology meets data science: Does anything change?
Cameron Mura, Eli J. Draizen, Philip E. Bourne
Data science has emerged from the proliferation of digital data, coupled with advances in algorithms, software and hardware (e.g., GPU computing). Innovations in structural biology…
Understanding the Results of Electrostatics Calculations: Visualizing Molecular 'Isopotential' Surfaces
Cameron Mura
This document attempts to clarify potential confusion regarding electrostatics calculations, specifically in the context of biomolecular structure and specifically as regards the u…