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Loop-Diffusion: an equivariant diffusion model for designing and scoring
  protein loops

Loop-Diffusion: an equivariant diffusion model for designing and scoring protein loops

26 September 2024
Kevin Borisiak
Gian Marco Visani
Armita Nourmohammad
    DiffM
ArXiv (abs)PDFHTML

Papers citing "Loop-Diffusion: an equivariant diffusion model for designing and scoring protein loops"

5 / 5 papers shown
Title
Learning the shape of protein micro-environments with a holographic
  convolutional neural network
Learning the shape of protein micro-environments with a holographic convolutional neural network
Michael N. Pun
Andrew Ivanov
Quinn Bellamy
Zachary Montague
Colin H. LaMont
P. Bradley
J. Otwinowski
Armita Nourmohammad
44
12
0
05 Nov 2022
e3nn: Euclidean Neural Networks
e3nn: Euclidean Neural Networks
Mario Geiger
Tess E. Smidt
75
182
0
18 Jul 2022
Generative Modeling by Estimating Gradients of the Data Distribution
Generative Modeling by Estimating Gradients of the Data Distribution
Yang Song
Stefano Ermon
SyDaDiffM
258
3,916
0
12 Jul 2019
ProteinNet: a standardized data set for machine learning of protein
  structure
ProteinNet: a standardized data set for machine learning of protein structure
Mohammed AlQuraishi
PINN
45
137
0
01 Feb 2019
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional
  Neural Network
Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network
Risi Kondor
Zhen Lin
Shubhendu Trivedi
79
271
0
24 Jun 2018
1