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    Papers and codes

  • Data-Mining unveils structure–property–activity correlation of viral infectivity enhancing self-assembling peptides
    Kaygisiz et al. (2023) (journal, pdf, code)
  • Inverse design of viral infectivity-enhancing peptides fibrils from continuous protein-vector embeddings
    Kaygisiz et al. (2023) (journal, pdf, code)
  • Identification of potential selective autophagy receptors from protein-content profiling of autophagosomes
    Cristiani et al. (2023) (journal, pdf)
  • Technology licensing and collusion
    Sen et al. (2023) (journal)
  • Identifying sequential residue patterns in bitter and umami peptides
    Dutta et al. (2022) (journal, pdf, code)
  • Data-driven equation for drug–membrane permeability across drugs and membranes
    Dutta et al. (2021) (journal, pdf, input script)
  • Inserting small molecules across membrane mixtures: Insight from the potential of mean force
    Centi et al. (2020) (journal, pdf)
  • Sequence-optimized peptide nanofibers as growth stimulators for regeneration of peripheral neurons
    Schilling et al. (2019) (journal)
    Featured in the Highlights from the Yearbook 2019 from the Max Planck Society
  • Stationary mass distribution and non-locality in models of coalescence and shattering
    Connaughton et al. (2018) (journal)
  • Universality properties of steady driven coagulation with collisional evaporation
    Connaughton et al. (2017) (journal)
  • Holographic entanglement entropy in imbalanced superconductors
    Dutta and Modak (2014) (journal, pdf)
  • Dynamical structure factor of Fulde–Ferrell–Larkin–Ovchinnikov superconductors
    Dutta and Bhattacharjee (2013) (journal)
  • Lifshitz tricritical point and its relation to the FFLO superconducting state
    Dutta and Bhattacharjee (2013) (journal)
  • Competing order parameters and a tricritical point with a difference
    Dutta and Bhattacharjee (2012) (journal)