Oliver Brock

Modelling protein complexes with crosslinking mass spectrometry and deep learning

The paper improves deep learning-based structure modelling of protein complexes by integrating crosslinking mass spectrometry data, enhancing performance on challenging targets.

An Information Processing Pattern from Robotics Predicts Unknown Properties of the Human Visual System

This study uses a robotics-based algorithm, AICON, to model human visual illusions and validates its predictions through psychophysical experiments, revealing individual differences in visual processing.

DomainRank: Improving Biological Data Sets With Domain Knowledge and Google's PageRank

DomainRank improves biological data quality using domain knowledge and PageRank, enhancing interaction detection and contact prediction in proteomics and cross-linking experiments.

Blind testing cross-linking/mass spectrometry under the auspices of the 11th critical assessment of methods of protein structure prediction (CASP11)

This paper evaluates cross-linking/mass spectrometry for protein structure prediction through a blind test in CASP11, identifying limitations in link distribution and structural definition.