Details of Single-Molecule Force Spectroscopy Data Decoded by a Network-Based Automatic Clustering Algorithm-Reference-Cited by-同舟云学术

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Details of Single-Molecule Force Spectroscopy Data Decoded by a Network-Based Automatic Clustering Algorithm

Published:2021-08-23 Issue:34 Volume:125 Page:9660-9667
ISSN:1520-6106
Container-title:The Journal of Physical Chemistry B
language:en
Short-container-title:J. Phys. Chem. B

Author:

Cheng Huimin¹,Yu Jun²,Wang Zhen¹,Ma Ping¹,Guo Cunlan³⁴^ORCID,Wang Bin⁴,Zhong Wenxuan¹,Xu Bingqian⁴^ORCID

Affiliation:

1. Big Data Analytics Lab, Department of Statistics, University of Georgia, Athens, Georgia 30602, United States

2. School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, P. R. China

3. College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, P. R. China

4. Single Molecule Study Laboratory, College of Engineering, University of Georgia, Athens, Georgia 30602, United States

Funder

Division of Mathematical Sciences

Division of Electrical, Communications and Cyber Systems

National Natural Science Foundation of China

National Institute of General Medical Sciences

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Surfaces, Coatings and Films,Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcb.1c03552

Reference46 articles.

1. Direct Measurement of the Forces Between Complementary Strands of DNA

2. Intermolecular Forces and Energies Between Ligands and Receptors

3. Single Molecule Force Spectroscopy on Polysaccharides by Atomic Force Microscopy

4. Unfolding Pathways of Individual Bacteriorhodopsins

5. Detection and localization of single molecular recognition events using atomic force microscopy

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1. Atomic Force Microscopy as a Tool to Study Transport Phenomena in Biological Systems;Processes;2023-08-12

2. Novel perspective for protein–drug interaction analysis: atomic force microscope;The Analyst;2023

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