Sam Gallop
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Sam Gallop has a total of 14 co-authors. Here are the top co-authors by number of shared publications:
- Adeline Harant
The Sainsbury Laboratory, University of East Anglia, Norwich, UK
1 shared publication - AmirAli Toghani
The Sainsbury Laboratory, University of East Anglia, Norwich, UK
1 shared publication - Benjamin A. Seager
The Sainsbury Laboratory, University of East Anglia, Norwich Research Park, Norwich, UK
1 shared publication - Daniel Lüdke
The Sainsbury Laboratory
1 shared publication - Daniel MacLean
The Sainsbury Laboratory, University of East Anglia, Norwich Research Park, Norwich NR47UH, UK
1 shared publication - Ioanna Morianou
Affiliation Department of Life Sciences, Imperial College London, London, United Kingdom
1 shared publication
Latest Publications
- Open Access
AI-guided discovery of atypical protein assemblies
Artificial intelligence (AI) systems such as AlphaFold have transformed structural biology by enabling accurate prediction of protein structures. However, their capacity to uncover new classes of macromolecular assemblies remains largely untapped. We developed the Structural Novelty Index (SNI), a quantitative framework for identifying protein complexes that diverge from canonical architectures. As one implementation of SNI, we developed SNI NRC-Hexa , to identify unconventional resistosomes formed by nucleotide-binding, leucine-rich repeat immune receptors (NLRs). We used it to analyze AlphaFold 3 models of 637 non-redundant NRC proteins from 346 genomes representing 85 plant species. This analysis identified candidates with predicted architectures distinct from the canonical hexameric resistosomes of NRC proteins. Biochemical purification and negative-stain transmission electron microscopy of NRC7 orthologs from multiple species supported the SNI prediction and revealed an unexpected undecameric (11-mer) assembly. Our results establish SNI as a scalable approach for discovering atypical protein complexes.
Open AccessAI-guided discovery of atypical protein assemblies
Artificial intelligence (AI) systems such as AlphaFold have transformed structural biology by enabling accurate prediction of protein structures. However, their capacity to uncover new classes of macromolecular assemblies remains largely untapped. We developed the Structural Novelty Index (SNI), a quantitative framework for identifying protein complexes that diverge from canonical architectures. As one implementation of SNI, we developed SNI NRC-Hexa , to identify unconventional resistosomes formed by nucleotide-binding, leucine-rich repeat immune receptors (NLRs). We used it to analyze AlphaFold 3 models of 637 non-redundant NRC proteins from 346 genomes representing 85 plant species. This analysis identified candidates with predicted architectures distinct from the canonical hexameric resistosomes of NRC proteins. Biochemical purification and negative-stain transmission electron microscopy of NRC7 orthologs from multiple species supported the SNI prediction and revealed an unexpected undecameric (11-mer) assembly. Our results establish SNI as a scalable approach for discovering atypical protein complexes.