Recent News

Daniel Lambrecht receives a Chancellor’s Distinguished Teaching Award

  • By Huiling Shao
  • 19 February 2019

Prof. Daniel Lambrecht has been selected to receive a 2019 Chancellor's Distinguished Teaching Award. The Chancellor's Distinguished Teaching Award recognizes teaching excellence by members of the University of Pittsburgh's faculty. Teaching is defined broadly and includes all activities that faculty members engage in to facilitate learning by undergraduate, professional, or graduate students: lecturing; clinical teaching; conducting seminars, tutorials, or recitations; etc. This award consists of a cash prize to the faculty member and a grant to support the faculty member's teaching activities. Daniel will be publicly recognized at the 2019 Honors Convocation.

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Lillian Chong Presented Protein-protein Binding Pathway using Fully-continuous, Explicit-solvent Simulations

  • By Huiling Shao
  • 12 February 2019


The latest study by Lillian Chong and Ali Saglam in her group demonstrated the power of the weighted ensemble (WE) strategy in enabling explicit-solvent MD simulation of a protein–protein binding process.(Click here for the protein-protein binding simulation video) Their results provide a number of insights regarding the binding mechanism that cannot be obtained by laboratory experiments.

The research by Lillian Chong group appeared in the Royal Society of Chemistry journal Chemical Science (DOI: 10.1039/C8SC04811H). The WE strategy and others like it have great promise in providing insights involving binding kinetics for a variety of research areas, including biophysics, catalysis, protein engineering, and material design.


Peng Liu Awarded Maximizing Investigators' Research Award Grant from National Institutes of Health

  • By Huiling Shao
  • 5 February 2019

Peng Liu has been awarded a five-year Maximizing Investigators' Research Award (MIRA) grant from the National Institutes of Health (NIH). The five-year, $1.8 million grant will support Peng group's research in developing quantum mechanics based computational tools to study organic and organometallic reactions. They study how reactions occur, factors controlling rates and selectivity, and provide theoretical insights to help develop improved catalysts and reagents.