Harutyun Sahakyan

This study uses computational simulations to show that short random peptides enhance RNA evolution and structural diversity, suggesting an RNA-peptide world in early life.

The paper identifies YprA family helicases as a missing link connecting DISARM and Druantia immune systems in prokaryotes, revealing new defense classes and their antiviral mechanisms.

The paper uses machine learning to estimate Aedes mosquito habitability globally, showing increasing risk in temperate regions and decreasing risk near the equator due to climate change.

The paper shows that structure alignment algorithms overestimate significance and introduces a new method for accurate statistical significance estimation.

This study uses a computational simulator to show how globular protein folds can evolve from random sequences, finding that stable folds emerge with 3-8 amino acid replacements per site.

The paper uses protein structure prediction to analyze dark matter proteins in Orthornavirae, identifying new domains and highlighting the prevalence of disordered regions.

This study identifies thousands of bacterial microproteins from Enterobacteriaceae genomes, revealing lineage-specific families and potential regulatory roles under stress.

The paper identifies and characterizes CoCoNuTs, a new subclass of Type IV restriction systems that target RNA, with additional potential DNA targeting capabilities and regulatory mechanisms.