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Simons Center for Computational Physical Chemistry

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Posters

This list will be updated as additional presenters are confirmed.

Atanu Acharya, Syracuse University    
  Building Cheaper Computational Tools to Model Electron Transfer Processes in Biochemistry    
     
Miro Astore, Flatiron Institute    
  Probing conformational heterogeneity of TRPV1: A comparison of state-of-the-art methods in cryo-EM    
       
Alexander Bryer, University of Delaware
   
  Human factors modulate the HIV-1 capsid mechanoelastic properties during nuclear import.    
       
Lorenzo Casalino, University of California, San Diego    
  Harnessing molecular simulations to design stabilized SARS-CoV-2 S2 antigens    
     
Hemani Chhabra, University of Illinois at Urbana-Champaign    
  Strand stories – Understanding ssDNA dynamics using all-atom MD simulations guided via high throughput FRET.    
     
Eric Chen, New York University    
  Conformational Selection for Allosteric Docking: Case Study with CDK2    
       
Vinicius Contessoto, Rice University    
  Interphase chromosomes of the Aedes aegypti mosquito are liquid crystalline and can sense mechanical cues    
     
Flavia Maria Galeazzi, Brown University    
  Rapid prediction of protein tyrosine kinase conformational ensembles by combining machine learning predictions with enhanced sampling simulations    
     
Julie Gardella, New York University    
  Estimating the transplacental transfer of plastic production chemicals using machine learning and in vitro assays with human trophoblast cells to understand toxicity    
     
Kuntal Ghosh, University of Chicago    
  Embedding quantum mechanics and neural network based force fields into a coarse-grained environment    
     
Alan Ianeselli, Yale University    
  A novel Discard-and-Restart MD algorithm for the efficient sampling of realistic protein transition states and enhance structure based drug discovery    
     
Charlotte Infante, New York University    
  Unifying pKa and Protonation Prediction with T5Chem-pKa    
     
Lauren Intravaia, University of Massachusetts Chan Medical School    
  Elucidating complex mechanisms of HIV-1 protease inhibition and resistance with molecular dynamics and machine learning    
     
Yeonji Ji, City University of New York    
  Solvation Thermodynamics Barriers to Binding Site Formation    
       
Shintaroh Kubo, University of Tokyo
   
  Investigating Rotational Symmetry Discrepancies between FO and F1 in FOF1 ATPase: A Coarse-Grained MD Simulation Approach    
       
Zilong Li, New York University
   
  Hi-BDiSCO: Folding 3D Mesoscale Genome Structures from Hi-C Data using Brownian Dynamics    
       
Zhuoyi Liu, Yale University    
  The minimum and optimal restraints in FRET-assisted protein structural modeling    
       
Zhuoran Long, Yale University
   
  Dynamic Structures and Functional Roles of Water in Photosystem II Water Channels Investigated with Molecular Dynamics    
       
Sheeba Malik, University of Tennessee/Oak Ridge National Laboratory    
  Decoding Anomalous Diffusion in Frequency Space: Insights into Bilayer Phase Transitions    
       
Federica Maschietto, New York University
   
  Mapping Allosteric Signals to Manipulate Catalytic Activity    
       
Gabriel Monteiro da Silva, Brown University
   
  Accelerating Convergence in Enhanced Sampling Simulations by Predicting Protein Conformational Ensembles    
       
Myongin Oh, Weill Cornell Medicine    
  Deciphering the molecular mechanisms of STRA6-mediated retinol transport    
       
Rutika Patel, Graduate Center, City University of New York    
  Conformational dynamics of Histone H2B tails using molecular dynamics simulation and Markov state model    
       
Stephanie Portillo, New York University
   
  Implicit Modeling of Protein Binding to Chromatin Fibers    
       
Maria Margarida Rosa, Weill Cornell Medicine    
  Automating Collective Variable Discovery from Molecular Dynamics Simulations using Machine Learning    
       
Subarna Sasmal, New York University    
  Quantifying Unbiased Conformational Ensembles from Biased Simulations Using ShapeGMM    
       
Mohamed Shehata, University of California, San Diego    
  Navigating Protein Design with Confidence: Leveraging Alchemical Free Energy Calculations    
       
Arjun Singh, Rutgers University, New Brunswick    
  Proteins in Phase: Unveiling the Role of IDPs and Structured Proteins in Biomolecular Condensates    
       
Yudan Shi, University of Tennessee, Knoxville    
  A Comparative Analysis of TCR Structure Prediction Tools    
       
Md. Raihan Uddin, City College of New York
   
  Using Monte Carlo Microstates to Follow Proton Transport in Complex I    
       
Christina Vilchez, North Carolina State University
   
  Molecular Modeling of Self-assembly of Nucleic Acid NanoParticles (NANPs)    
       
Yang Wang, Boston College    
  Interplay of steric and diffuse ion effects regulates the final stages of aminoacyl-tRNA
accommodation
   
       
Song Xia, New York University    
  Normalized Protein-Ligand Distance Likelihood Score Incorporating Explicit Metal Ions and Ligand Conformation Stability    
       
Dariia Yehorova, Georgia Institute of Technology
   
  Key Interaction Networks (KIN): Unveiling Evolutionarily Conserved Interactions in Beta-Lactamases    
       
Yan Yu, Oak Ridge National Laboratory
   
  Enhanced biomass pellet properties upon deep eutectic solvent pretreatment and their molecular origins    

 

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Kathleen Conlon Hinge
Program Administrator
Simons Center for Computational Physical Chemistry

SimonsCenter@nyu.edu

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We gratefully acknowledge generous funding from the Simons Foundation.