JOURNAL ARTICLE

Single-Molecule Biophysics: Probing Biological Processes at the Nanoscale.

  • Published In: Biophysical Reviews & Letters, 2025, v. 20, n. 1. P. 13 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Uzorka, Afam 3 of 3

Abstract

Single-molecule biophysics has become a ground-breaking field that enables scientists to precisely study biological processes at the nanoscale. This review examines the most current developments and uses of single-molecule methods for studying biomolecular interactions, DNA mechanics, protein folding, and cellular dynamics, such as fluorescence microscopy and force spectroscopy. The behavior and functions of individual biomolecules within intricate biological settings are better understood by researchers through the study of individual biomolecules. Additionally, the study of cellular machines, the development of molecular motors, and the creation of synthetic biomolecules have all been made possible by the intriguing applications of single-molecule biophysics in cellular and synthetic biology. The incorporation of single-molecule biophysics into these fields creates new opportunities for comprehending basic biological processes and utilizing biomolecular engineering for a wide range of biotechnology and medical applications. More fundamental secrets of life will be revealed as this subject develops, opening the door for ground-breaking discoveries across a range of scientific and medical fields. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Biophysical Reviews & Letters. 2025/03, Vol. 20, Issue 1, p13
  • Document Type:Literature Review
  • Subject Area:Physics
  • Publication Date:2025
  • ISSN:1793-0480
  • DOI:10.1142/S1793048025300014
  • Accession Number:185366801
  • Copyright Statement:Copyright of Biophysical Reviews & Letters is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.