publications

Publications by categories in reversed chronological order.

For more up-to-date publications, please visit my Google Scholar profile: link

2024

  1. Cell Syst.
    Deep-learning-based design of synthetic orthologs of SH3 signaling domains
    Xinran Lian, Nikša Praljak, Subu K Subramanian, and 3 more authors
    Cell Systems, 2024

2023

  1. ACS Synth. Biol.
    ProtWave-VAE: Integrating autoregressive sampling with latent-based inference for data-driven protein design
    Niksa Praljak, Xinran Lian, Rama Ranganathan, and 1 more author
    ACS synthetic biology, 2023

2022

  1. Auto-regressive WaveNet Variational Autoencoders for Alignment-free Generative Protein Design and Fitness Prediction
    Niksa Praljak, and Andrew Ferguson
    In ICLR2022 Machine Learning for Drug Discovery, 2022

2021

  1. PLoS Comput. Biol.
    Integrating deep learning with microfluidics for biophysical classification of sickle red blood cells adhered to laminin
    Niksa Praljak, Shamreen Iram, Utku Goreke, and 4 more authors
    PLOS Computational Biology, 2021

2020

  1. A Deep Learning Framework for Sickle Cell Disease Microfluidic Biomarker Assays
    Niksa Praljak, Brandon Shipley, Ayesha Gonzales, and 6 more authors
    Blood, 2020

2019

  1. Pulsatile flow through idealized renal tubules: Fluid-structure interaction and dynamic pathologies
    Niksa Praljak, Shawn D Ryan, and Andrew Resnick
    Mathematical biosciences and engineering: MBE, 2019