Category: Publishing

  • Synthetic Antibiotic Derived from Sequences Encrypted in a Protein from Human Plasma

    Synthetic Antibiotic Derived from Sequences Encrypted in a Protein from Human Plasma

    Presidential Assistant Professor Cesar de la Fuente, has a new paper out in ACS Nano. Abstract: Encrypted peptides have been recently found in the human proteome and represent a potential class of antibiotics. Here we report three peptides derived from the human apolipoprotein B (residues 887–922) that exhibited potent antimicrobial activity against drug-resistant Klebsiella pneumoniae, Acinetobacter baumannii, and Staphylococci both in…

  • “Quantifying the compressibility of complex networks”

    “Quantifying the compressibility of complex networks”

    Danielle Basset has a new paper out in PNAS! Abstract Many complex networks depend upon biological entities for their preservation. Such entities, from human cognition to evolution, must first encode and then replicate those networks under marked resource constraints. Networks that survive are those that are amenable to constrained encoding—or, in other words, are compressible.…

  • “Fracture of model end-linked networks”

    “Fracture of model end-linked networks”

    The Riggleman Group has published a new study in PNAS! Abstract Advances in polymer chemistry over the last decade have enabled the synthesis of molecularly precise polymer networks that exhibit homogeneous structure. These precise polymer gels create the opportunity to establish true multiscale, molecular to macroscopic, relationships that define their elastic and failure properties. In…

  • Learning Operators with Coupled Attention

    Learning Operators with Coupled Attention

    The Perdikaris Group has a new paper available at arxiv.org/abs/2201.01032 Abstract: Supervised operator learning is an emerging machine learning paradigm with applications to modeling the evolution of spatio-temporal dynamical systems and approximating general black-box relationships between functional data. We propose a novel operator learning method, LOCA (Learning Operators with Coupled Attention), motivated from the recent…

  • Samaneh Farokhirad and the members of the Radhakrishnan lab make the cover of Advanced Materials Interfaces

    Samaneh Farokhirad and the members of the Radhakrishnan lab make the cover of Advanced Materials Interfaces

    Abstract Flexible Polymeric Nanoparticles In article number 2101290, Samaneh Farokhirad, Ravi Radhakrishnan, and co-workers explore the biophysical principles behind the effect of shape, chemistry, and flexibility of nanoparticles on multivalent ligand–receptor-mediated avidity and cellular uptake. The findings help establish rational design principles that confer tension, membrane excess area, and cytoskeletal sensing properties to the nanoparticles, which…

  • “Mining for encrypted peptide antibiotics in the human proteome”

    “Mining for encrypted peptide antibiotics in the human proteome”

     César de la Fuente, Presidential Assistant Professor in Bioengineering, Microbiology, Psychiatry, and Chemical and Biomolecular Engineering, and his group have a new paper out in Nature Methods. Abstract The emergence of drug-resistant bacteria calls for the discovery of new antibiotics. Yet, for decades, traditional discovery strategies have not yielded new classes of antimicrobial. Here, by…

  • “Load-bearing entanglements in polymer glasses”

    “Load-bearing entanglements in polymer glasses”

    Robert Riggleman, Associate Professor of Chemical and Biomolecular Engineering, and members of his group have published a new paper in Science Advances. Abstract Through a combined approach of experiment and simulation, this study quantifies the role of entanglements in determining the mechanical properties of glassy polymer blends. Uniaxial extension experiments on 100-nm films containing a bidisperse…

  • “Biophysical Considerations in the Rational Design and Cellular Targeting of Flexible Polymeric Nanoparticles”

    “Biophysical Considerations in the Rational Design and Cellular Targeting of Flexible Polymeric Nanoparticles”

    Professor Ravi Radhakrishnan, Department Chair for BioEngineering and Professor Chemical and Biological Engineering, has a new paper available on Research Square. Abstract: It is becoming evident that engineered physicochemical characteristics of nanoparticles (NPs) are essential to improve their biological function for their cellular delivery and uptake. How NP mechanical properties impact multivalent ligand-receptor mediated binding…

  • “Minute-scale detection of SARS-CoV-2 using a low-cost biosensor composed of pencil graphite electrodes”

    “Minute-scale detection of SARS-CoV-2 using a low-cost biosensor composed of pencil graphite electrodes”

    Professor César de la Fuente, Presidential Assistant Professor Bioengineering, Chemical and Biomolecular Engineering, Microbiology and Psychiatry, has a new paper which discusses a diagnostic test that detects SARS-CoV-2 within 6.5 min and costs $1.50 per unit to produce.

  • “On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks”

    “On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks”

    Professor Paris Perdikaris, Assistant ProfessorMechanical Engineering and Applied Mechanics, has a new paper out in Computer Methods in Applied Mechanics and Engineering. Abstract: Physics-informed neural networks (PINNs) are demonstrating remarkable promise in integrating physical models with gappy and noisy observational data, but they still struggle in cases where the target functions to be approximated exhibit high-frequency or multi-scale…