Sharon M. Loverde, Ph.D.

  • Professor of Chemistry, College of Staten Island, CUNY
  • Doctoral Faculty, CUNY Graduate Center
  • Affiliate Faculty, Nanoscience Initiative

Affiliation

College of Staten Island (Profile)

Research Interests

The Loverde Laboratory uses molecular dynamics simulations, from all-atom to coarse-grained, to study the structure and dynamics of nucleosomes and chromatin, peptide-based condensates and polyelectrolyte complexes, and other soft biological materials. We develop and apply computational tools, including kinetic network methods and multiscale modeling, to connect molecular motions to biological function.

Job History

  • 2023 – present: Professor of Chemistry, College of Staten Island
  • 2018 – 2023: Associate Professor of Chemistry, College of Staten Island
  • 2012 – 2018: Assistant Professor of Chemistry, College of Staten Island
  • 2007 – 2012: NIH NRSA Postdoctoral Fellow, University of Pennsylvania
  • 2001 – 2007: Ph.D., Materials Science and Engineering, Northwestern University

Publications

Sequence dependence in nucleosome dynamics
P. Khatua, P. Tang, A. Ghosh Moulick, R. Patel, A. Manandhar, S. M. Loverde. Sequence dependence in nucleosome dynamics. J. Phys. Chem. B, 2024.

Conformational dynamics of the nucleosomal histone H2B tails revealed by molecular dynamics simulations
R. Patel, A. Onyema, P. Tang, S. M. Loverde. Conformational dynamics of the nucleosomal histone H2B tails revealed by molecular dynamics simulations. J. Chem. Inf. Model., 2024.

Unveiling nucleosome dynamics: a comparative study using all-atom and coarse-grained simulations enhanced by principal component analysis
Ghosh Moulick, R. Patel, A. Onyema, S. M. Loverde. Unveiling nucleosome dynamics: a comparative study using all-atom and coarse-grained simulations enhanced by principal component analysis. J. Chem. Phys. 162, 065101, 2025.

The need to implement FAIR principles in biomolecular simulations
R. E. Amaro et al., including S. M. Loverde. The need to implement FAIR principles in biomolecular simulations. Nature Methods 22, 641-645, 2025.

Unveiling the conformational dynamics of the histone tails using Markov state modeling
R. Patel, S. M. Loverde. Unveiling the conformational dynamics of the histone tails using Markov state modeling. J. Chem. Theory Comput., 2025.

Structural and thermodynamic impact of oncogenic mutations on the nucleosome core particle
A. Onyema, C. DiForte, R. Patel, S. Poget, S. M. Loverde. Structural and thermodynamic impact of oncogenic mutations on the nucleosome core particle. Biophysical Journal, 2025.

Mapping allosteric communication in the nucleosome with conditional activity
Onyema, C. Dikeocha, R. Patel, J. Moussa, S. M. Loverde. Mapping allosteric communication in the nucleosome with conditional activity. J. Chem. Inf. Model., 2026.

H2A.Z facilitates Sox2-nucleosome interaction by promoting DNA and histone H3 tail mobility
Moos, R. Patel, S. Flaherty, S. M. Loverde, E. Nikolova. H2A.Z facilitates Sox2-nucleosome interaction by promoting DNA and histone H3 tail mobility. Nucleic Acids Research, 2026.

DNA sequence and histone variant H2A.Z jointly govern nucleosome unwrapping pathways
Ghosh Moulick, R. Patel, T. Rajpersaud, E. N. Nikolova, S. M. Loverde. DNA sequence and histone variant H2A.Z jointly govern nucleosome unwrapping pathways. bioRxiv (preprint).

Chiral patterning drives peptide coacervate formation in coarse-grained SIRAH simulations
T. Rajpersaud, T. Ateeq, L. Leon, S. Pantano, S. M. Loverde. Chiral patterning drives peptide coacervate formation in coarse-grained SIRAH simulations. ChemRxiv (preprint).