Witten Lab
  • Home
  • Research
  • People
  • Publications
  • News
  • Join
ESC

Searching...

No results found

↑↓ Navigate ↵ Select
Powered by Hugo Blox
  • News
    • Welcome Shashi Singh to the Lab
    • Welcome Peng Ning to the Lab
    • Lab Opening at Case Western Reserve University
  • Publications
    • index
    • Biotechnology in Materials Science: A Storied Past and a Bold Future
    • Lipid Nanoparticle Database towards structure-function modeling and data-driven design for nucleic acid delivery
    • NumSimEX: A Method Using EXX Hydrogen Exchange Mass Spectrometry to Map the Energetics of Protein Folding Landscapes
    • Artificial intelligence-guided design of lipid nanoparticles for pulmonary gene therapy
    • Recent advances in nanoparticulate RNA delivery systems
    • Inhalable Dry Powders for Lung mRNA Delivery
    • Zwitterionic Polymer-Functionalized Lipid Nanoparticles for the Nebulized Delivery of mRNA
    • A comparison of the physicochemical properties of native mucus and reconstituted mucin gels
    • Combinatorial development of nebulized mRNA delivery formulations for the lungs
    • Enhancing the immunogenicity of lipid-nanoparticle mRNA vaccines by adjuvanting the ionizable lipid and the mRNA
    • Spatial configuration of charge and hydrophobicity tune particle transport through mucus
    • Deep learning regression model for antimicrobial peptide design
    • Molecular characterization of mucus binding
    • Computational Insights into Avidity of Polymeric Multivalent Binders
    • Mucus and mucin environments reduce the efficacy of polymyxin and fluoroquinolone antibiotics
    • Selective permeability of mucus barriers
    • The particle in the spider's web: transport through biological hydrogels
    • Charge influences substrate recognition and self-assembly of hydrophobic FG sequences
    • Probing the potential of mucus permeability to signify preterm birth risk
    • Mapping Protein Conformational Landscapes under Strongly Native Conditions with Hydrogen Exchange Mass Spectrometry
    • Micro-heterogeneity metrics for diffusion in soft matter
    • Preparation of two novel monobrominated 2-(2',4'-dihydroxybenzoyl)-3,4,5,6-tetrachlorobenzoic acids and their separation from crude synthetic mixtures using vortex counter-current chromatography
    • Vortex Counter-Current Chromatography: Performance of a New Preparative Column
  • Join the Lab
  • People
  • Research

Deep learning regression model for antimicrobial peptide design

Jul 1, 2019·
J. Witten
,
Z. Witten
· 0 min read
DOI
Abstract
Deep learning regression model for designing antimicrobial peptides.
Type
Preprint
Publication
bioRxiv
publications
Last updated on Jul 1, 2019
Deep Learning Antimicrobial Peptides Preprint
← Spatial configuration of charge and hydrophobicity tune particle transport through mucus Jan 1, 2022
Molecular characterization of mucus binding Apr 1, 2019 →

© 2026 Witten Lab, Case Western Reserve University

Made with Hugo Blox — Open Source. Build yours →