News & Events


Bruce Berne to give the 33rd Friedman Lecture at Brooklyn College

posted Mar 27, 2018, 11:24 AM by Emilio Gallicchio   [ updated Mar 27, 2018, 11:26 AM ]

Professor Bruce Berne, Columbia University, who graduated from Brooklyn College in 1961, will be honored as the host of the 2018 Friedman Lecture at Brooklyn College on April 19th. The annual Friedman Lecture, organized by the Department of Chemistry, is a long-standing tradition at Brooklyn College. Noble laureates such as Hoffman, Taube, Anfinsen, Corey, and Molina are among past honorees. 

Bruce J. Berne was born in Brooklyn, NY. He received his BS in Chemistry from CUNY Brooklyn College in 1961 and his Ph.D. in Chemical Physics from the University of Chicago in 1964. He is currently the Higgins Professor of Chemistry at Columbia University and a member of the National Academy of Sciences. He is known worldwide as one of the pioneers of computer simulations of molecular systems, which are now an integral part of modern Chemical research and the Chemistry curriculum.

The lecture will be held from 1 pm to 2 pm on April 19th, 2018, in the Tanger Auditorium in the Brooklyn College Library building.

https://drive.google.com/open?id=0B6VXyZtFVHc0U0hSUk1GNktZSzVIc1FLNVVyU3o0ZXdEaWUw


A Step Closer to Reliable Modeling of Protein-Peptide Binding

posted Mar 17, 2018, 9:26 PM by Emilio Gallicchio   [ updated Mar 17, 2018, 9:28 PM ]

Congratulations to Denise Kilburg for her paper in Frontiers Molecular Bioscience: Molecular Recognition:



This work moves the field a bit closer to making alchemical calculations of the absolute binding free energies of protein-peptide complexes a reality. It is not at all easy. The first ingredient is to know when things go wrong. And they do ...

Journal Cover of Organic & Biomolecular Chemistry

posted Jan 4, 2018, 7:46 AM by Emilio Gallicchio

Congratulations to students Danielle Hirsch and Rajat Pal whose paper and artistic rendering of an hydroxytropolone bound to an enzyme of the herpes simplex virus has made the journal cover of Organic & Biomolecular Chemistry

http://dx.doi.org/10.1039/C7OB02453C

Release of the AGBNP1 OpenMM Plugin for GPUs

posted Oct 27, 2017, 11:37 AM by Emilio Gallicchio   [ updated Oct 27, 2017, 11:46 AM ]

The AGBNP (Analytic Generalized Born plus Non-Polar) implicit solvent model is our main solvation force field for alchemical binding free energy calculations. Following the development of the GaussVol algorithm for GPUs, we have just completed the implementation of the AGBNP model version 1 on GPUs as part of the OpenMM library. As we reported earlier, the GPU code is up to 100 times faster than our best CPU implementation. While lacking some of the advanced features of AGBNP2 (solvent-excluded volume representation and hydration sites), this milestone moves us closer to a full port of our alchemical binding free energy software stack to GPU devices. The GPU port of AGBNP2 is underway. 


Support from the National Science Foundation is gratefully acknowledged


Prof. Emilio Gallicchio presents at the Henry Wasser Award ceremony..!!

posted Sep 27, 2017, 7:49 AM by Rajat Kumar Pal   [ updated Oct 23, 2017, 11:29 AM ]

Prof. Emilio Gallicchio, the recipient of the Henry Wasser Award from CUNY will be presenting at the award ceremony at the CUNY Graduate Center, NY on Friday, October 20, 2017..!!
Congratulations!

After the award ceremony on Oct 20, 2017!
In the picture : On the left, Dr. Richard Magliozzo, in the middle, Dr. Emilio Gallicchio and to the right , Dr. Manfred Phillip

NVIDIA Award!

posted Aug 23, 2017, 3:14 PM by Emilio Gallicchio   [ updated Aug 24, 2017, 6:34 AM ]

The Computers in Chemistry Division of the American Chemical Society awarded Prof. Emilio Gallicchio of Brooklyn College the NVIDIA GPU Best Poster Award at the 254th ACS National Meeting & Exposition in Washington DC. Prof. Gallicchio's poster is entitled "Efficient GPU/OpenMM implementation of the AGBNP solvation model for macromolecular binding"

poster

Emilio Gallicchio, egallicchio@brooklyn.cuny.edu, Denise Kilburg, Baofeng Zhang
Brooklyn College, Brooklyn, NY, and Doctoral Programs in Chemistry and Biochemistry, Graduate Center of the City University of New York, New York, NY

The poster describes the GPU implementation of the Analytic Generalized Born plus Non-Polar implicit solvent model (AGBNP) for the OpenMM molecular simulation package. As part of this work, novel recursive computational geometry algorithms have been developed to estimate volumes and surface areas of macromolecules. The Generalized Born pairwise descreening algorithm has been formulated to take advantage of the GPU architecture. The GPU implementation is 50 to 100 times faster than our best CPU implementation. Illustrative applications to binding free energy calculations are presented. OpenMM plugin: github.com/egallicc/openmm_gaussvol_plugin

The generous donation of an impressive Titan Xp GPU by NVIDIA is greatly appreciated. We will put it to good use!
 

Professor Gallicchio is awarded the Henry Wasser Award from CUNY!

posted Jul 6, 2017, 2:28 PM by Rajat Kumar Pal   [ updated Jul 6, 2017, 2:29 PM ]

Professor Gallicchio is the recipient of the 2017 Henry Wasser award from the CUNY Academy. This award is given to outstanding CUNY Assistant Professors by the CUNY Academy for the Humanities and Sciences. Congratulations Dr. Gallicchio!

Presentation on Analytic Model of Binding @CECAM

posted Jun 19, 2017, 2:44 PM by Emilio Gallicchio

I have had the opportunity to present our recent development of an analytic probabilistic model of alchemical binding at the "Beyond Kd's" CECAM conference organized by Sereina Riniker, Lyna Luo, and Chris Chipot at Lausanne in Switzerland. One of the aims of this project is to extract physical parameters such as the volume of the binding site and the local dielectric constant of the binding site from binding free energy profiles. 

Click below to view the slides of the presentation. Feedback is welcome.

https://drive.google.com/file/d/0B6VXyZtFVHc0ZWplNVkzS3oxbUE/view?usp=sharing

A Novel Surface Area Algorithm for GPUs added to OpenMM

posted Jan 8, 2017, 8:08 AM by Emilio Gallicchio   [ updated Jan 8, 2017, 9:30 AM ]

Surface area of a moleculeAfter a year-long effort, we finally developed an efficient implementation of the Gaussian-based volume and surface area model for GPUs. The work, performed in collaboration with Peter Eastman Vijay Pande at Stanford University, is described in a recent publication to appear in the Journal of Computational Chemistry: 

Baofeng Zhang, Denise Kilburg, Peter Eastman, Vijay S. Pande, Emilio Gallicchio. Efficient Gaussian Density Formulation of Volume and Surface Areas of Macromolecules on Graphical Processing Units. J. Comp. Chem. (2017). pdf of submitted manuscript

Volume and surface area of macromolecules are employed in medicinal chemistry to measure structural similarity and complementarity of compounds. They are also the basis of many implicit models of non-polar solvation, which is our primary interest.

With this algorithm we were able to achieve a 50- to 100-fold speed-up on GPU's relative to our best CPU implementation. more ->

The GaussVol code is freely available on github as a plugin of the OpenMM molecular mechanics package.

Support from the National Science Foundation is gratefully acknowledged




Publication on binding free energy study of RNase H inhibitors

posted Sep 18, 2016, 8:16 AM by Emilio Gallicchio   [ updated Sep 18, 2016, 8:25 AM ]

Our collaboration with the group of Ryan Murelli here at Brooklyn College, and John A Beutler and Stuart F Le Grice at NCI, aimed at identifying  α-hydroxytropolones derivatives capable of inhibiting the RNase H enzyme of the HIV virus is now described in two recent publications (below).

The computational work has been made possible by the WEB computational grid at Brooklyn College maintained by the ITS office at Brooklyn College. Additional computing has been performed on the NSF XSEDE SuperMIC cluster at LSU. Thanks!

Good job done! to Baofeng Zhang who completed his postdoctoral residency in the lab.


Baofeng Zhang, Michael P. D'Erasmo, Ryan P. Murelli, Emilio Gallicchio. Free Energy-Based Virtual Screening and Optimization of RNase H Inhibitors of HIV-1 Reverse Transcriptase. ACS Omega. 2016. pdf of submitted manuscript

Ryan P Murelli, Michael P D'Erasmo, Danielle R Hirsch, C Meck, T Masaoka, JA Wilson, Baofeng Zhang, Rajat K Pal, Emilio Gallicchio, John A Beutler, Stuart F Le Grice. Synthetic α-hydroxytropolones as inhibitors of HIV reverse transcriptase ribonuclease H activity. MedChemComm. 2016. doi:10.1039/C6MD00238B

  
Support from the National Science Foundation is gratefully acknowledged

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