Inigo Barrio‐Hernandez

Unifying the genetic landscape of common and rare diseases via latent neighborhoods

This paper develops a deep-learning method to unify genetic evidence from common and rare diseases by integrating diverse data sources and identifying shared genetic mechanisms.

Genetic interaction library screening with a next-generation dual guide CRISPR system

The paper introduces a next-generation dual guide CRISPR system for efficient genetic interaction screening, achieving low undesired guide pairs and balanced expression, and demonstrates its application in colorectal cancer cells.

Mapping the functional importance of site-specific ubiquitination across the human proteome

The paper maps the functional importance of site-specific ubiquitination across the human proteome by analyzing conservation, perturbation, and machine learning scores.

Predicting the natural yeast phenotypic landscape with machine learning

This study uses machine learning to predict yeast phenotypes from genotypes, finding gradient boosting machines perform best and accessory genome contributes significantly.

Systematic identification of structure-specific protein-protein interactions

This study systematically identifies structure-specific protein-protein interactions using LiP-MS, demonstrating its application to alpha-synuclein in Parkinson's disease.

Clustering predicted structures at the scale of the known protein universe

A Foldseek-based linear-time structural clustering groups 52 million AlphaFold DB representatives into 2.27 million non-singleton clusters; 31% lack known structural or domain annotation.

Network expansion of genetic associations defines a pleiotropy map of human cell biology

The paper uses network-based expansion of GWAS results to identify pleiotropic gene modules linked to multiple traits and demonstrates their application in studying inflammatory bowel disease.

Towards a structurally resolved human protein interaction network

The paper uses AlphaFold2 to predict structures for 65,484 human protein interactions, identifying high confidence models and disease-related mutations.

Genome-wide meta-analysis, fine-mapping, and integrative prioritization identify new Alzheimer's disease risk genes

Meta-analysing UK Biobank family-history GWAS with diagnosed-AD GWAS yields 37 loci, four novel (NCK2, TSPAN14, SPRED2, CCDC6); fine-mapping, colocalisation and network scoring prioritize causal genes.

A SARS-CoV-2-Human Protein-Protein Interaction Map Reveals Drug Targets and Potential Drug-Repurposing

Affinity-purification mass spectrometry of 26 SARS-CoV-2 proteins in HEK293T cells yields 332 high-confidence host interactions and 67 druggable human proteins with known compounds.