Jason W. Labonte

Ensuring scientific reproducibility in bio-macromolecular modeling via extensive, automated benchmarks

The paper presents a framework for ensuring reproducibility in bio-macromolecular modeling through automated benchmarks and a test server, demonstrating its utility for Rosetta and other tools.

Growing Glycans in Rosetta: Accurate de novo glycan modeling, density fitting, and rational sequon design

This paper expands the Rosetta software suite with tools for glycan modeling, density fitting, and rational sequon design, achieving high accuracy in predicting and building glycan structures.

Shotgun scanning glycomutagenesis: a simple and efficient strategy for constructing and characterizing neoglycoproteins

This paper introduces a method to construct and analyze neoglycoproteins by systematically modifying glycosylation sites in proteins and assessing the effects of glycan addition.