Danish Memon

The paper constructs a tissue-specific protein interaction atlas using proteomic data from 11 human tissues, identifying key drivers of inter-tissue variation and prioritizing disease genes in brain disorders.

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

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.

The paper systematically maps the functional role of phosphorylation by analyzing phospho-deficient mutants in yeast and linking yeast phenotypes to human functional relevance.

The paper identifies copy number aberrations that alter kinase signaling and highlights potential therapeutic targets by integrating genomic and proteomic data across cancer samples.

The paper benchmarks variant effect predictors and analyzes SNVs in H. sapiens, S. cerevisiae, and E. coli to predict molecular effects and generate protein complex burden scores.