Global dynamics of proteins: bridging between structure and function.
By Ivet Bahar, Timothy R. Lezon, Lee-Wei Yang, Eran Eyal. 2010
588 citations recorded by the source corpus.
Subfields: Cell Biology, Materials Chemistry, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cell Biology
In Materials Chemistry
- Matthieu Wyart
- Le Yan
- Carolina Brito
- Sidney R. Nagel
- Andrea J. Liu
- Nidhi Pashine
- Carl P. Goodrich
- Irmgard Bischofberger
In Molecular Biology
- Matthieu Wyart
- Carolina Brito
- Riccardo Ravasio
- Debashish Chowdhury
- Anne-Florence Bitbol
- Dima Kozakov
- Holger Flechsig
- John Karanicolas
Citations in the corpus
- Revealing evolutionary constraints on proteins through sequence analysis (2018, methodology): “Every pair of carbons within a cutoff distance dc is then connected with a harmonic spring [11].”
- Designing allostery-inspired response in mechanical networks (2016, background): “In fact, folded proteins have long been modeled as elastic networks (13), and the response to localized forces in the resulting networks has been studied (14).”
- Design of Elastic Networks with Evolutionary Optimized Long-Range Communication as Mechanical Models of Allosteric Proteins (2017, background): “Despite their approximate nature, such simplified descriptions have significantly contributed to understanding the mechanistic underpinnings of allostery in proteins (27,28).”
- Allostery in Its Many Disguises: From Theory to Applications (2019, background): “As seen above, such soft modes may be readily described by coarsegrained models like those Bahar et al. (2010) and others (Hawkins and McLeish, 2004; Zhu et al., 2011).”
- Stochastic mechano-chemical kinetics of molecular motors: A multidisciplinary enterprise from a physicist’s perspective (2012, background): “Insight into the actual kinetics of the motor can be gained by carrying normal mode analysis (NMA) which yields the spectrum of collective modes of the elastic network [393, 394, 395, 396, 397, 398, 399, 400].”