An Introduction to Biomolecular Graphics. - Cameron Mura; Colin M. McCrimmon; Jason Vertrees; Michael R. Sawaya (PLoS Comput. Biol., 2010)

A lightweight, flow-based toolkit for parallel and distributed bioinformatics pipelines. - Marcin Cieslik; Cameron Mura (BMC Bioinform., 2011)

Abstractions, Algorithms and Data Structures for Structural Bioinformatics in PyCogent. - Marcin Cieslik; Zygmunt Derewenda; Cameron Mura (CoRR, 2014)

PaPy: Parallel and Distributed Data-processing Pipelines in Python. - Marcin Cieslik; Cameron Mura (CoRR, 2014)

Ten Simple Rules for Creating Biomolecular Graphics. - Cameron Mura (CoRR, 2014)

Development & Implementation of a PyMOL 'putty' Representation. - Cameron Mura (CoRR, 2014)

An Introduction to Programming for Bioscientists: A Python-Based Primer. - Berk Ekmekci; Charles E. McAnany; Cameron Mura (PLoS Comput. Biol., 2016)

Ten Simple Rules for Using a Raspberry Pi. - Anthony C. Fletcher; Cameron Mura (CoRR, 2018)

Machine Learning for Classification of Protein Helix Capping Motifs. - Sean Mullane; Ruoyan Chen; Sri Vaishnavi Vemulapalli; Eli J. Draizen; Ke Wang; Cameron Mura; Philip E. Bourne (CoRR, 2019)

Ten quick tips for using a Raspberry Pi. - Anthony C. Fletcher; Cameron Mura (PLoS Comput. Biol., 2019)

Ten simple rules for starting research in your late teens. - Cameron Mura; Mike Chalupa; Abigail M. Newbury; Jack Chalupa; Philip E. Bourne (PLoS Comput. Biol., 2020)

Exploration of Dark Chemical Genomics Space via Portal Learning: Applied to Targeting the Undruggable Genome and COVID-19 Anti-Infective Polypharmacology. - Tian Cai; Li Xie 002; Muge Chen; Yang Liu; Di He 003; Shuo Zhang 010; Cameron Mura; Philip E. Bourne; Lei Xie 006 (CoRR, 2021)

Combining Machine Learning and Agent-Based Modeling to Study Biomedical Systems. - Nikita Sivakumar; Cameron Mura; Shayn M. Peirce (CoRR, 2022)

Prop3D-20. - Eli J. Draizen; Cameron Mura; Philip E. Bourne (Zenodo, 2022)

DeepUrfold Supplemental Material. - Eli J. Draizen; Stella Veretnik; Cameron Mura; Philip E. Bourne (Zenodo, 2022)

End-to-end sequence-structure-function meta-learning predicts genome-wide chemical-protein interactions for dark proteins. - Tian Cai; Li Xie 002; Shuo Zhang 010; Muge Chen; Di He 003; Amitesh Badkul; Yang Liu; Hari Krishna Namballa; Michael Dorogan; Wayne W. Harding; Cameron Mura; Philip E. Bourne; et al. (PLoS Comput. Biol., 2023)

Ten simple rules for serving as an editor. - Cameron Mura; Philip E. Bourne (PLoS Comput. Biol., 2023)

Supplemental Material for 'Deep Generative Models of Protein Structure Uncover Distant Relationships Across a Continuous Fold Space' and DeepUrfold. - Eli J. Draizen; Stella Veretnik; Cameron Mura; Philip E. Bourne (Zenodo, 2024)

Prop3D: A flexible, Python-based platform for machine learning with protein structural properties and biophysical data. - Eli J. Draizen; John Readey; Cameron Mura; Philip E. Bourne (BMC Bioinform., 2024)