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Benchmarking deep generative models for diverse antibody sequence design

Benchmarking deep generative models for diverse antibody sequence design

Igor Melnyk
Payel Das
Vijil Chenthamarakshan
A. Lozano
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Papers citing "Benchmarking deep generative models for diverse antibody sequence design"

3 / 3 papers shown
Title
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
Iterative Refinement Graph Neural Network for Antibody Sequence-Structure Co-design
Wengong Jin
Jeremy Wohlwend
Regina Barzilay
Tommi Jaakkola
46
138
0
09 Oct 2021
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design
Yue Cao
Payel Das
Vijil Chenthamarakshan
Pin-Yu Chen
Igor Melnyk
Yang Shen
46
45
0
24 Jun 2021
Learning from Protein Structure with Geometric Vector Perceptrons
Learning from Protein Structure with Geometric Vector Perceptrons
Bowen Jing
Stephan Eismann
Patricia Suriana
Raphael J. L. Townshend
R. Dror
GNN
3DV
52
477
0
03 Sep 2020

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