Machine learning model for fast prediction of the natural frequencies of protein molecules
Natural vibrations and resonances are intrinsic features of protein structures and enable differentiation of one structure from another. These nanoscale features are important to help to understand the dynamics of a protein molecule and identify the effects of small sequence or other geometric alter...
Main Authors: | Qin, Zhao, Yu, Qingyi, Buehler, Markus J |
---|---|
Other Authors: | Massachusetts Institute of Technology. Laboratory for Atomistic and Molecular Mechanics |
Format: | Article |
Language: | English |
Published: |
Royal Society of Chemistry (RSC)
2020
|
Online Access: | https://hdl.handle.net/1721.1/126049 |
Similar Items
-
Rapid prediction of protein natural frequencies using graph neural networks
by: Guo, Kai, et al.
Published: (2022) -
ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning
by: Ghafarollahi, Alireza, et al.
Published: (2024) -
Molecular biomechanics of collagen molecules
by: Chang, Shu-Wei, et al.
Published: (2014) -
Learning from nature by leveraging integrative biomateriomics modeling toward adaptive and functional materials
by: Arevalo, Sofia E., et al.
Published: (2023) -
Sonification based de novo protein design using artificial intelligence, structure prediction, and analysis using molecular modeling
by: Yu, Chi Hua, et al.
Published: (2021)