Liquified protein vibrations, classification and cross-paradigm de novo image generation using deep neural networks
© 2020 IOP Publishing Ltd. In recent work we reported the vibrational spectrum of more than 100 000 known protein structures, and a self-consistent sonification method to render the spectrum in the audible range of frequencies (Qin and Buehler 2019 Extreme Mech. Lett. 100460). Here we present a meth...
Main Author: | Buehler, Markus J |
---|---|
Other Authors: | Massachusetts Institute of Technology. Laboratory for Atomistic and Molecular Mechanics |
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2021
|
Online Access: | https://hdl.handle.net/1721.1/132720 |
Similar Items
-
Generative discovery of de novo chemical designs using diffusion modeling and transformer deep neural networks with application to deep eutectic solvents
by: Luu, Rachel K, et al.
Published: (2024) -
Words to Matter: De novo Architected Materials Design Using Transformer Neural Networks
by: Yang, Zhenze, et al.
Published: (2021) -
Sonification based de novo protein design using artificial intelligence, structure prediction, and analysis using molecular modeling
by: Yu, Chi Hua, et al.
Published: (2021) -
De novo-designed β-sheet heme proteins
by: D'Souza, Areetha, et al.
Published: (2021) -
Capsid catalysis : de novo enzymes on viral proteins
by: Casey, John P., Jr
Published: (2015)