John Moult

Template-based RNA structure prediction advanced through a blind code competition

The paper describes a Kaggle competition for RNA 3D structure prediction, showing that template-based methods can outperform deep learning approaches.

Modeling Alternative Conformational States in CASP16

This paper evaluates methods for modeling multi-state protein and RNA systems in CASP16, finding improved accuracy for some targets but persistent challenges in capturing structural details for others.

Functional relevance of CASP16 nucleic acid predictions as evaluated by structure providers

Structure providers for 18 CASP16 nucleic acid targets find blind predictions capture secondary structure but miss non-canonical interactions, backbone kinks, ligand sites, and intermolecular interfaces.

MecCog: A knowledge representation framework for genetic disease mechanism

MecCog provides a framework to structure and integrate genetic disease mechanisms from diverse sources, enabling the creation and sharing of mechanism schemas.

Matching whole genomes to rare genetic disorders: Identification of potential causative variants using phenotype-weighted knowledge in the CAGI SickKids5 clinical genomes challenge

The paper identifies potential causative variants in rare genetic disorders using a gene-centric approach and phenotype-weighted scoring, achieving partial success in matching genomes to clinical profiles.

Characterizing and comparing missense variants in monogenic disease and in cancer

This paper compares missense variants in monogenic diseases and cancer, finding similarities and differences in their structural and functional impacts.

Harnessing formal concepts of biological mechanism to analyze human disease

This paper introduces a formal framework for representing biological mechanisms and applies it to analyze human genetic disease mechanisms.