Universal descriptors to predict interactions of inorganic nanoparticles with proteins
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)
Link
https://www.nature.com/articles/s43588-022-00230-3.pdf
Reference5 articles.
1. Li, Z. L. & Buck, M. Modified Potential functions result in enhanced predictions of a protein complex by all-atom molecular dynamics simulations, confirming a stepwise association process for native protein–protein interactions. J. Chem. Theory Comput. 15, 4318–4331 (2019). This paper reports MD simulations of protein complex formation with a timescale of 2 μs.
2. Liu, Y. et al. A compact biosensor for binding kinetics analysis of protein–protein interaction. IEEE Sens. J. 19, 11955–11960 (2019). This paper reports that protein–protein interaction processes in real-time can occur on a timescale of up to several minutes.
3. Moscetti, I., Cannistraro, S. & Bizzarri, A. R. Surface plasmon resonance sensing of biorecognition interactions within the tumor suppressor p53 network. Sensors 17, 2680 (2017). This paper reports that the NP and protein interaction process in real-time can occur on a timescale of up to several minutes.
4. Silvera Batista, C. A., Larson, R. G. & Kotov, N. A. Nonadditivity of nanoparticle interactions. Science. 350, 1242477 (2015). This paper dissects the complexity of nanoscale macromolecules, including proteins and NPs.
5. Kotov, N. A. Inorganic nanoparticles as protein mimics. Science. 330, 188–189 (2010). A foundational perspective article that presents inorganic NPs as protein mimics.
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