Classification of protein–protein association rates based on biophysical informatics
Abstract Background Proteins form various complexes to carry out their versatile functions in cells. The dynamic properties of protein complex formation are mainly characterized by the association rates which measures how fast these complexes can be formed. It was experimentally observed that the as...
Main Authors: | Kalyani Dhusia, Yinghao Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2021-08-01
|
Series: | BMC Bioinformatics |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12859-021-04323-0 |
Similar Items
-
Classification of protein–protein association rates based on biophysical informatics
by: Dhusia, K., et al.
Published: (2021) -
Using Coarse-Grained Simulations to Characterize the Mechanisms of Protein–Protein Association
by: Kalyani Dhusia, et al.
Published: (2020-07-01) -
Monte Carlo approaches to the protein folding problem
by: Stone, Matthew Thad
Published: (2008) -
Self-association features of NS1 proteins from different flaviviruses
by: Barroso da Silva, F.L, et al.
Published: (2022) -
Role of Protein Self-Association on DNA Condensation and Nucleoid Stability in a Bacterial Cell Model
by: Rita S. Dias
Published: (2019-06-01)