All papers authored by Justas Dauparas
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2023
Florian Praetorius 
,
Philip J. Y. Leung ,
Maxx H. Tessmer ,
Adam Broerman ,
Cullen Demakis ,
Acacia F. Dishman ,
Arvind Pillai ,
Abbas Idris ,
David Juergens ,
Justas Dauparas ,
Xinting Li ,
Paul M. Levine ,
Mila Lamb ,
Ryanne K. Ballard ,
Stacey R. Gerben
and 8 other authors
,
Philip J. Y. Leung ,
Maxx H. Tessmer ,
Adam Broerman ,
Cullen Demakis ,
Acacia F. Dishman ,
Arvind Pillai ,
Abbas Idris ,
David Juergens ,
Justas Dauparas ,
Xinting Li ,
Paul M. Levine ,
Mila Lamb ,
Ryanne K. Ballard ,
Stacey R. Gerben
and 8 other authors
Design of stimulus-responsive two-state hinge proteins
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Robbert J. de Haas ,
Natalie Brunette ,
Alex Goodson ,
Justas Dauparas ,
Sue Y. Yi,
Erin C. Yang,
Quinton Dowling ,
Hannah Nguyen ,
Alex Kang ,
Asim K. Bera ,
Banumathi Sankaran,
Renko de Vries,
David Baker ,
Neil P. King
,
Natalie Brunette ,
Alex Goodson ,
Justas Dauparas ,
Sue Y. Yi,
Erin C. Yang,
Quinton Dowling ,
Hannah Nguyen ,
Alex Kang ,
Asim K. Bera ,
Banumathi Sankaran,
Renko de Vries,
David Baker ,
Neil P. King
Rapid and automated design of two-component protein nanomaterials using ProteinMPNN
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Nathaniel R. Bennett ,
Brian Coventry,
Inna Goreshnik,
Buwei Huang,
Aza Allen ,
Dionne Vafeados ,
Ying Po Peng,
Justas Dauparas ,
Minkyung Baek ,
Lance Stewart ,
Frank DiMaio,
Steven De Munck ,
Savvas N. Savvides ,
David Baker
,
Brian Coventry,
Inna Goreshnik,
Buwei Huang,
Aza Allen ,
Dionne Vafeados ,
Ying Po Peng,
Justas Dauparas ,
Minkyung Baek ,
Lance Stewart ,
Frank DiMaio,
Steven De Munck ,
Savvas N. Savvides ,
David Baker
Improving de novo protein binder design with deep learning
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2022
B. I. M. Wicky ,
L. F. Milles ,
A. Courbet ,
R. J. Ragotte ,
J. Dauparas ,
E. Kinfu ,
S. Tipps ,
R. D. Kibler ,
M. Baek ,
F. DiMaio ,
X. Li ,
L. Carter ,
A. Kang ,
H. Nguyen ,
A. K. Bera
and 1 other authors
,
L. F. Milles ,
A. Courbet ,
R. J. Ragotte ,
J. Dauparas ,
E. Kinfu ,
S. Tipps ,
R. D. Kibler ,
M. Baek ,
F. DiMaio ,
X. Li ,
L. Carter ,
A. Kang ,
H. Nguyen ,
A. K. Bera
and 1 other authors
Hallucinating symmetric protein assemblies
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J. Dauparas ,
I. Anishchenko ,
N. Bennett ,
H. Bai ,
R. J. Ragotte ,
L. F. Milles ,
B. I. M. Wicky ,
A. Courbet ,
R. J. de Haas ,
N. Bethel ,
P. J. Y. Leung,
T. F. Huddy ,
S. Pellock,
D. Tischer ,
F. Chan
and 7 other authors
,
I. Anishchenko ,
N. Bennett ,
H. Bai ,
R. J. Ragotte ,
L. F. Milles ,
B. I. M. Wicky ,
A. Courbet ,
R. J. de Haas ,
N. Bethel ,
P. J. Y. Leung,
T. F. Huddy ,
S. Pellock,
D. Tischer ,
F. Chan
and 7 other authors
Robust deep learning–based protein sequence design using ProteinMPNN
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2021
Minkyung Baek ,
Baek M.,
Jue Wang ,
Alberdina A. van Dijk,
Calvin K. Yip ,
Frank DiMaio ,
DiMaio F.,
Ivan Anishchenko ,
Anishchenko I.,
Justas Dauparas ,
Dauparas J.,
Sergey Ovchinnikov ,
Ovchinnikov S.,
Lee Gr,
Gyu Rie Lee
and 49 other authors
,
Baek M.,
Jue Wang ,
Alberdina A. van Dijk,
Calvin K. Yip ,
Frank DiMaio ,
DiMaio F.,
Ivan Anishchenko ,
Anishchenko I.,
Justas Dauparas ,
Dauparas J.,
Sergey Ovchinnikov ,
Ovchinnikov S.,
Lee Gr,
Gyu Rie Lee
and 49 other authors
Accurate prediction of protein structures and interactions using a three-track neural network
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