N. Goldman

The paper identifies two highly conserved druggable sites in the SARS-CoV-2 replication-transcription complex as potential targets for broad-spectrum antiviral drugs.

The paper analyzes mutation rates and selection pressures in SARS-CoV-2 genomes, identifying elevated G→U and C→U mutations and challenging previous findings on synonymous site selection.

The paper uses genetic sequence data and patient metadata to analyze local influenza transmission dynamics in Basel, Switzerland, finding that temperature trends correlate with transmission and that elderly and school children drive different transmission networks.

This study maps influenza transmission in a city at high resolution, finding socioeconomic factors like income influence infection patterns and vaccination rates, independent of population density.

The paper compares two phylogeographic models, showing that sampling bias affects Brownian Motion Phylogeography (BMP) and that the spatial Lambda-Fleming-Viot process (LambdaFV) is more robust but applicable to different scenarios.

This paper shows how ambiguity coding in alignments allows accurate inference of evolutionary parameters like selection strength and ancestral structures from incomplete data.

The paper combines evolutionary and structural analysis to show that positive selection drives adaptation in immune response and metabolic enzymes.

The paper develops a structurally-aware substitution model for amino acid sequence evolution by incorporating side-chain conformational states, showing improved performance in divergence time estimation and tree inference.