Payam Kelich Profile Pic

Payam Kelich

Postdoctoral Research Associate

University of Illinois Urbana-Champaign

Publications

Selected papers and ongoing projects in molecular simulations, machine learning, and cheminformatics.

Publications on Google Scholar.

Published Papers:

  1. Cover image for THz hydration publication
    Fluorescence Changes in Carbon Nanotube Sensors Correlate with THz Absorption of Hydration.
    S. S. Nalige, P. Galonska, Kelich, P., L. Sistemich, C. Herrmann, L. Vukovic, S. Kruss, M. Havenith.
    Nature Communication
  2. Cover image for serotonin sensor spectra publication
    Serotonin Detection with DNA-Carbon Nanotube Sensors Across Multiple Spectral Wavelengths.
    Kelich, P., J. Adams, S. Jeong, N. Navarro, M. P. Landry, L. Vukovic
    Journal of Chemical Information and Modeling
  3. Cover image for directed evolution publication
    Directed Evolution of Near-infrared Serotonin Nanosensors with Machine Learning-based Screening.
    S. An, Y. Suh, Kelich, P., D. Lee, L. Vukovic, S. Jeong.
    Nanomaterials
  4. Cover image for perfluoroaryl macrocycles publication
    Genetically-Encoded Discovery of Perfluoroaryl-Macrocycles that Bind to Albumin and Exhibit Extended Circulation in-vivo.
    Wong, J.YK., Kirberger, S.E., Qiu, R., Ekanayake, A.I., Kelich, P., Sarkar, S., Alvizo-Paez, E.R., Miao, J., Kalhor-Monfared, S., Dwyer, J.J., Nuss, J.M., Lin, Y.S., Macauley, M.S., Vukovic, L., Pomerantz, W.CK., & Derda, R.
    Nature Communication
  5. Cover image for BinderSpace publication
    BinderSpace: A Package for Sequence Space Analyses for Datasets of Affinity-Selected Oligonucleotides and Peptide-Based Molecules.
    Kelich, P., Zhao, H., & Vukovic, L.
    Journal of Computational Chemistry
  6. Cover image for antimicrobial discovery publication
    Characterizing the Interactions of Cell Membrane-Disrupting Peptides with Lipid-Functionalized Single-Walled Carbon Nanotube Systems for Antimicrobial Discovery.
    Yadav, A., Kelich, P.*, Kallmyer, N.E., Reuel, N.F., & Vukovic, L. (* co-first author)
    ACS Applied Materials & Interfaces
  7. Cover image for serotonin discovery publication
    Discovery of DNA-Carbon Nanotube Sensors for Serotonin with Machine Learning and Near-infrared Fluorescence Spectroscopy
    Kelich, P., Jeong, S., Navarro, N., Adams, J., Sun, X., Zhao, H., Landry, M.P., & Vukovic, L.
    ACS Nano
  8. Cover image for antiviral nanoparticles publication
    Computational Modeling of the Virucidal Inhibition Mechanism for Broad-Spectrum Antiviral Nanoparticles and HPV16 Capsid Segments.
    Chaturvedi, P., Kelich, P., Nikita, T.A., & Vukovic, L.
    The Journal of Physical Chemistry B
  9. Cover image for macrocyclic libraries publication
    Genetically Encoded Fragment-Based Discovery from Phage-Displayed Macrocyclic Libraries with Genetically Encoded Unnatural Pharmacophores.
    Ekanayake, A.I., Sobze, L., Kelich, P., Youk, J., Bennett, N.J., Mukherjee, R., Bhardwaj, A., Wuest, F., & Vukovic, L., Derda, R.
    Journal of the American Chemical Society
  10. Cover image for polymer brush simulation publication
    Molecular simulation study on brushes of poly (2-ethyl-2-oxazoline).
    Kelich, P., & Asadinezhad, A.
    Materials Today Communications
  11. Cover image for PTT nanofiller publication
    Effects of Carbon nanofiller Characteristics on PTT Chain Conformation and Dynamics: A Computational Study.
    Asadinezhad, A., & Kelich, P.
    Applied Surface Science
  12. Cover image for graphene nanosheets publication
    Adsorption of Poly(Ethylene Succinate) Chain onto Graphene Nanosheets: A Molecular Simulation.
    Kelich, P., & Asadinezhad, A.
    Journal of Molecular Graphics and Modelling
  13. Cover image for carbon nanotube surface publication
    Molecular Dynamics Insights into Behavior of Poly(ethylene succinate) Single Chain on Carbon Nanotube Surface.
    Kelich, P., & Asadinezhad, A.
    The Journal of Physical Chemistry C

Papers in preparation:

  1. Discovery of DNA-Carbon Nanotube Sensors for Oxytocin Detection Through Machine Learning, Generative Models, and Near-Infrared Fluorescence Spectroscopy
    Kelich, P., J. Adams, M.P. Landry, L. Vukovic.
  2. Machine Learning Models for Predicting the Subcellular Localization of Small Molecules
    Kelich, P., A. Yadav, Md Nurunnabi, L. Vukovic.