Abstract Submission

Abstract format:

In order to submit your abstract for NanoBioCoM2025, you have to:

1. Download the template: Download the preformatted abstract template (MS word) provide here

2. Prepare your abstract:

Type your abstract into the preformatted document following the instruction as below:

  • Title (Font Times New Roman, Bold, size 14)
  • Author names (Font Times New Roman, size 10)
  • Affiliation (Font Times New Roman, size 10)
  • Corresponding author's email (Font Times New Roman, size 10)
  • Abstract content (Font Times, size 12, line spacing: 1.5)
  • Keywords (Font Times New Roman, italic, size 10, at least 5 words)
  • Abstract content is limited to 500 words.

Submission

Please send your abstract to email: vietbiophysics@gmail.com with email tittle is "Abstract-NanoBioCoM" - Your Name

Abstract submission deadline extended to August 15th, 2025

Scientific sessions

You can choose the topic that refers to the main subject of the abstract. The scientific committee reserves the right to re-categorize the abstract:

1. Nano Biotechnology in life science

  • Characterization of nanomaterials (HS-AFM, FM-AFM, SICM, TEM, SEM, Cryo-EM, NMR, optical microscopies etc.)
  • Nanomaterials in biology, medicine, food, and agriculture
  • Nanomedicine in diagnostics, imaging, therapy and drug development
  • Nanotechnology in the agri-food industry
  • Nano-Bioconjugation
  • Nanotoxicology
  • Bioink/Bioprinting
  • Origin of Life: From Fundamental to Integrated Techniques

2. Biophysics

  • Structural Biophysics
  • Molecular Biophysics
  • Cell Biophysics
  • Membrane Biophysics
  • Biomechanics
  • Bioenergetics
  • Neurobiophysics
  • Systems Biophysics
  • Biophysical Chemistry
  • Quantitative Biology
  • Biosensor
  • Biomaterials
  • The mysteries of protein folding and function

3. Computation in life science

  • MD simulations, Coarse-grained simulations, Normal Mode Analysis
  • Whole-cell and multiscale simulations
  • Monte carlo and stochastic simulations in a cell
  • Data mining and visualization
  • Deep-learning and AI in Biology, Medicine and Agriculture
  • Metagenome analyses
  • Computational drug design
  • Molecular informatics
  • Pharmacoinformatics
  • In-silico metabolomics
  • Proteomics and bioinformatics
  • Multi-omics methods
  • DeepAFM, DeepEM, Deep-STORM, DeepLoco, ANNA-PALM
  • Computer Graphics
  • Biological Intelligence vs. Artificial Intelligence
  • Large Language Models in Biology (LLMs)
  • Creating artificial intelligence with biological learning capabilities