Join the Springer Nature Biophysics Webinar Series

Stay at the forefront of discovery with the Springer Nature Biophysics Seminars—a free, global webinar series designed for researchers

Published in Physics

Join the Springer Nature Biophysics Webinar Series
Like

Share this post

Choose a social network to share with, or copy the URL to share elsewhere

This is a representation of how your post may appear on social media. The actual post will vary between social networks

Join the Springer Nature Biophysics Webinar Series 

Why join?

  • Always free to attend
  • Fully recorded — watch live or on your schedule
  • Citable with a DOI — get academic credit and share your engagement
  • Connect with leading researchers, important global societies in biophysics, emerging voices, and cutting-edge tools shaping modern biophysics

Whether you're exploring molecular mechanisms, developing new analytical approaches, or seeking interdisciplinary insight, this series delivers high-impact science in an accessible format. Our webinars span all elements of biophysics including techniques/approaches, fluorescence spectroscopy, NMR spectroscopy, membrane biology, bioenergetics, mechanobiology, structural biology and more 

⭐ Featured Webinars 

🧬 Molecular-scale data, tools & infrastructure (MOSBRI)

Explore the future of molecular biophysics research with insights into the Molecular Biophysics Database (MBDB) and the eSPC analysis suite—tools that enable cross-technique data analysis (including MST, DSF, DLS, CD, BLI, and more). Get real insights into how these techniques can enhance and streamline your work into structural biology. 

👉 Ideal for: researchers working with biomolecular interactions, structural biology, or multi-method datasets. https://cassyni.com/events/WDEKqUE7E9UHZGf7kgHVgh?cb=0.12cl


🚀 Future Leaders of Biophysics

Discover the next generation of scientific leaders as early-career researchers present cutting-edge work and emerging ideas shaping the field. See how you can submit to Springer Nature journals and have your work showcased and explored by other biophysicists. 
👉 Ideal for: staying ahead of trends, networking, and identifying collaborators or rising talent. https://cassyni.com/events/F1vuBGPCVdQ3jeEZrSyqEV?cb=0.tj2f


🌍 Latin American Federation of Biophysical Societies: Special Collection in Biophysical Reviews 

A special edition of the Biophysics Webinars showcasing research deriving from Latin American countries. Presentations on  molecular modelling, antimicrobial peptides in the context of membrane biology, and more 

👉 Ideal for: researchers in  health biophysics, those interested in broadening their world outlook within biophysics 

https://cassyni.com/events/UVut4UyuPK2fNyaqekJRuX?cb=0.vw0u


📅 Be part of the community

From quantum biology to advanced imaging metamaterials and global research initiatives, this series brings together diverse perspectives across biophysics.

👉 Subscribe and start watching today:
https://cassyni.com/s/springer-nature-biophysics

Please sign in or register for FREE

If you are a registered user on Research Communities by Springer Nature, please sign in

Follow the Topic

Biophysics
Physical Sciences > Physics and Astronomy > Biophysics
Membrane Biophysics
Physical Sciences > Physics and Astronomy > Biophysics > Membrane Biophysics
Molecular Biophysics
Physical Sciences > Physics and Astronomy > Biophysics > Molecular Biophysics
Nanoscale Biophysics
Physical Sciences > Physics and Astronomy > Biophysics > Nanoscale Biophysics
Single-Molecule Biophysics
Physical Sciences > Physics and Astronomy > Biophysics > Single-Molecule Biophysics

Related Collections

With Collections, you can get published faster and increase your visibility.

Special Issue: "Modern Biophysical Methods: Insights from the Russian Autumn School on Biophysics in Kazan 2024"

We announce сall for papers for a special issue of Biophysical Reviews associated with the Russian Autumn School in Biophysics held in Kazan, Russia, 11-14 November 2024. The Autumn School was focused on modern biophysical methods and approaches to study living and model biological systems. It was the most important biophysical meeting within 2024 in Russia, organized for the first time with perspectives to make it regular. The Special issue accepts reviews on comprehensive analysis of experimental and computational methods currently used to study the dynamical structure of biological systems at all levels of living matter organization - from submolecular, molecular and supramolecular model systems to cells and whole organisms. Here we describe main themes and sections, types of papers and key dates for the journal issue.

Publishing Model: Hybrid

Deadline: Ongoing

Transport across Biomembranes in Metabolism and Disease

The proposal for a special issue on transport processes across biomembranes is both timely and relevant due the rapid and multi-faceted expansion in our understanding of integral membrane proteins involved in active or passive transport of metabolites required for normal physiology of both prokaryotic and eukaryotic cells. Numerous compounds including ions, sugars, amino acids, amino acid derivates, neurotransmitters and osmolytes are transported through specific gating processing involving ion or ATP coupled energy gradients. Channels on the other hand facilitate movement of ions along their concentration gradients. These multispan integral membrane proteins are influenced by their environment in the lipid bilayer where multiple phospholipids or sterols interact with the protein surface to specifically modulate their conformation and kinetics. In addition to their roles in cellular physiology, transporters and channels are targets for numerous pharmacophores that yield therapeutic outcomes. Besides the substrate specificity demonstrated by these systems, they can also be promiscuous to carry diverse substrate types depending on the charge and size of the individual substrates. Blocking transport has been a major pharmacological strategy, albeit underexplored due to limitations on fundamental insights into structures, interaction sites and models of transporters. With the advent of accurate deep learning tools like Alphafold2, RFdiffusion, high-resolution cryoEM structures, advanced light microscopy and extensive biochemical studies, these issues are being circumvented. These molecular machines have also been a focus for synthetic biology to allow specific release of metabolic end products outside the cell as part of biosynthetic applications.

Publishing Model: Hybrid

Deadline: Nov 30, 2026