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Andrew J Borst

ORCID

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 25

Top Venues

Biochemistry

Science (New York, N.Y.)

Proceedings of the National Academy of Sciences of the United States of America

bioRxiv : the preprint server for biology

University of Washington

University of Washington (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

University of Washington Apr 1o 2011 - Aug 25o 2014

United States

Research Scientist/Engineer I :: Biochemistry

Education History

University of Washington Sep 23o 2014

United States

PHD :: Biochemistry

Publications

Joseph L Watson, David Juergens, Nathaniel R Bennett, Brian L Trippe, Jason Yim, Helen E Eisenach, Woody Ahern, Andrew J Borst, Robert J Ragotte, Lukas F Milles, Basile I M Wicky, Nikita Hanikel, Samuel J Pellock, Alexis Courbet, William Sheffler, Jue Wang, Preetham Venkatesh, Isaac Sappington, Susana Vázquez Torres, Anna Lauko, Valentin De Bortoli, Emile Mathieu, Sergey Ovchinnikov, Regina Barzilay, Tommi S Jaakkola, Frank DiMaio, Minkyung Baek, Julien S Baker
De novo design of protein structure and function with RFdiffusion. Nature (2023)
Alena Khmelinskaia, Neville P Bethel, Farzad Fatehi, Aleksandar Antanasijevic, Andrew J Borst, Szu-Hsueh Lai, Jing Yang John Wang, Bhoomika Basu Mallik, Marcos C Miranda, Andrew M Watkins, Cassandra Ogohara, Shane Caldwell, Mengyu Wu, Albert J R Heck, David Veesler, Andrew B Ward, David Baker, Reidun Twarock, Neil P King
Local structural flexibility drives oligomorphism in computationally designed protein assemblies. bioRxiv : the preprint server for biology (2023)
Isaac D Lutz, Shunzhi Wang, Christoffer H Norn, Alexis Courbet, Andrew J Borst, Yan Ting Zhao, Annie M Dosey, Longxing Cao, Jinwei Xu, Elizabeth M Leaf, Catherine Treichel, Patrisia Litvicov, Zhe Li, Alexander D Goodson, Paula Rivera-Sánchez, Ana-Maria Bratovianu, Minkyung Baek, Neil P King, Hannele Ruohola-Baker, Julien S Baker
Top-down design of protein architectures with reinforcement learning. Science (New York, N.Y.) 380 (6642) (2023)
Erin C Yang, Robby Divine, Marcos C Miranda, Andrew J Borst, William Sheffler, Jason Z Zhang, Justin Decarreau, Amijai Saragovi, Mohamad H Abedi, Nicolas Goldbach, Maggie Ahlrichs, Craig Dobbins, Alexis Hand, Suna Cheng, Mila Lamb, Paul M Levine, Sidney Chan, Rebecca Skotheim, Jorge Fallas, George Ueda, Joshua M Lubner, Masaharu Somiya, Alena Khmelinskaia, Neil P King, Julien S Baker
Computational design of non-porous, pH-responsive antibody nanoparticles. bioRxiv : the preprint server for biology (2023)
Zhe Li, Shunzhi Wang, Una Nattermann, Asim K Bera, Andrew J Borst, Muammer Y Yaman, Matthew J Bick, Erin C Yang, William Sheffler, Byeongdu Lee, Soenke Seifert, Greg L Hura, Hannah Nguyen, Alex Kang, Radhika Dalal, Joshua M Lubner, Yang Hsia, Hugh Haddox, Alexis Courbet, Quinton Dowling, Marcos C Miranda, Andrew Favor, Ali Etemadi, Natasha I Edman, Wei Yang, Connor Weidle, Banumathi Sankaran, Babak Negahdari, Michael B Ross, David S Ginger, Julien S Baker
Accurate computational design of three-dimensional protein crystals. Nature materials (2023)
Stacey R Gerben, Andrew J Borst, Derrick R Hicks, Isabelle Moczygemba, David Feldman, Brian Coventry, Wei Yang, Asim K Bera, Marcos C Miranda, Alex Kang, Hannah Nguyen, David Baker
Design of Diverse Asymmetric Pockets in De Novo Homo-oligomeric Proteins. Biochemistry 62 (2) (2023)
Stacey R Gerben, Andrew J Borst, Derrick R Hicks, Isabelle Moczygemba, David Feldman, Brian Coventry, Wei Yang, Asim K Bera, Marcos C Miranda, Alex Kang, Hannah Nguyen, David Baker
Design of Diverse Asymmetric Pockets in De Novo Homo-oligomeric Proteins. Biochemistry 62 (2) (2023)
Isaac D Lutz, Shunzhi Wang, Christoffer H Norn, Alexis Courbet, Andrew J Borst, Yan Ting Zhao, Annie M Dosey, Longxing Cao, Jinwei Xu, Elizabeth M Leaf, Catherine Treichel, Patrisia Litvicov, Zhe Li, Alexander D Goodson, Paula Rivera-Sánchez, Ana-Maria Bratovianu, Minkyung Baek, Neil P King, Hannele Ruohola-Baker, Julien S Baker
Top-down design of protein architectures with reinforcement learning. Science (New York, N.Y.) 380 (6642) (2023)
Stacey R Gerben, Andrew J Borst, Derrick R Hicks, Isabelle Moczygemba, David Feldman, Brian Coventry, Wei Yang, Asim K Bera, Marcos C Miranda, Alex Kang, Hannah Nguyen, David Baker
Design of Diverse Asymmetric Pockets in De Novo Homo-oligomeric Proteins. Biochemistry (2023)
Jing Yang John Wang, Alena Khmelinskaia, William Sheffler, Marcos C Miranda, Aleksandar Antanasijevic, Andrew J Borst, Susana V Torres, Chelsea Shu, Yang Hsia, Una Nattermann, Daniel Ellis, Carl Walkey, Maggie Ahlrichs, Sidney Chan, Alex Kang, Hannah Nguyen, Claire Sydeman, Banumathi Sankaran, Mengyu Wu, Asim K Bera, Lauren Carter, Brooke Fiala, Michael Murphy, Julien S Baker, Andrew B Ward, Neil P King
Improving the secretion of designed protein assemblies through negative design of cryptic transmembrane domains. Proceedings of the National Academy of Sciences of the United States of America 120 (11) (2023)
Jing Yang John Wang, Alena Khmelinskaia, William Sheffler, Marcos C Miranda, Aleksandar Antanasijevic, Andrew J Borst, Susana V Torres, Chelsea Shu, Yang Hsia, Una Nattermann, Daniel Ellis, Carl Walkey, Maggie Ahlrichs, Sidney Chan, Alex Kang, Hannah Nguyen, Claire Sydeman, Banumathi Sankaran, Mengyu Wu, Asim K Bera, Lauren Carter, Brooke Fiala, Michael Murphy, Julien S Baker, Andrew B Ward, Neil P King
Improving the secretion of designed protein assemblies through negative design of cryptic transmembrane domains. Proceedings of the National Academy of Sciences of the United States of America 120 (11) (2023)
Jing Yang John Wang, Alena Khmelinskaia, William Sheffler, Marcos C Miranda, Aleksandar Antanasijevic, Andrew J Borst, Susana V Torres, Chelsea Shu, Yang Hsia, Una Nattermann, Daniel Ellis, Carl Walkey, Maggie Ahlrichs, Sidney Chan, Alex Kang, Hannah Nguyen, Claire Sydeman, Banumathi Sankaran, Mengyu Wu, Asim K Bera, Lauren Carter, Brooke Fiala, Michael Murphy, Julien S Baker, Andrew B Ward, Neil P King
Improving the secretion of designed protein assemblies through negative design of cryptic transmembrane domains. Proceedings of the National Academy of Sciences of the United States of America 120 (11) (2023)
Jing Yang John Wang, Alena Khmelinskaia, William Sheffler, Marcos C Miranda, Aleksandar Antanasijevic, Andrew J Borst, Susana V Torres, Chelsea Shu, Yang Hsia, Una Nattermann, Daniel Ellis, Carl Walkey, Maggie Ahlrichs, Sidney Chan, Alex Kang, Hannah Nguyen, Claire Sydeman, Banumathi Sankaran, Mengyu Wu, Asim K Bera, Lauren Carter, Brooke Fiala, Michael Murphy, Julien S Baker, Andrew B Ward, Neil P King
Improving the secretion of designed protein assemblies through negative design of cryptic transmembrane domains. Proceedings of the National Academy of Sciences of the United States of America 120 (11) (2023)
Isaac D Lutz, Shunzhi Wang, Christoffer H Norn, Alexis Courbet, Andrew J Borst, Yan Ting Zhao, Annie M Dosey, Longxing Cao, Jinwei Xu, Elizabeth M Leaf, Catherine Treichel, Patrisia Litvicov, Zhe Li, Alexander D Goodson, Paula Rivera-Sánchez, Ana-Maria Bratovianu, Minkyung Baek, Neil P King, Hannele Ruohola-Baker, Julien S Baker
Top-down design of protein architectures with reinforcement learning. Science (New York, N.Y.) 380 (6642) (2023)
Stacey R Gerben, Andrew J Borst, Derrick R Hicks, Isabelle Moczygemba, David Feldman, Brian Coventry, Wei Yang, Asim K Bera, Marcos C Miranda, Alex Kang, Hannah Nguyen, David Baker
Design of Diverse Asymmetric Pockets in De Novo Homo-oligomeric Proteins. Biochemistry 62 (2) (2023)
Stacey R Gerben, Andrew J Borst, Derrick R Hicks, Isabelle Moczygemba, David Feldman, Brian Coventry, Wei Yang, Asim K Bera, Marcos C Miranda, Alex Kang, Hannah Nguyen, David Baker
Design of Diverse Asymmetric Pockets in De Novo Homo-oligomeric Proteins. Biochemistry 62 (2) (2023)
Stacey R Gerben, Andrew J Borst, Derrick R Hicks, Isabelle Moczygemba, David Feldman, Brian Coventry, Wei Yang, Asim K Bera, Marcos C Miranda, Alex Kang, Hannah Nguyen, David Baker
Design of Diverse Asymmetric Pockets in De Novo Homo-oligomeric Proteins. Biochemistry 62 (2) (2023)
Isaac D Lutz, Shunzhi Wang, Christoffer H Norn, Alexis Courbet, Andrew J Borst, Yan Ting Zhao, Annie M Dosey, Longxing Cao, Jinwei Xu, Elizabeth M Leaf, Catherine Treichel, Patrisia Litvicov, Zhe Li, Alexander D Goodson, Paula Rivera-Sánchez, Ana-Maria Bratovianu, Minkyung Baek, Neil P King, Hannele Ruohola-Baker, Julien S Baker
Top-down design of protein architectures with reinforcement learning. Science (New York, N.Y.) 380 (6642) (2023)
Isaac D Lutz, Shunzhi Wang, Christoffer H Norn, Alexis Courbet, Andrew J Borst, Yan Ting Zhao, Annie M Dosey, Longxing Cao, Jinwei Xu, Elizabeth M Leaf, Catherine Treichel, Patrisia Litvicov, Zhe Li, Alexander D Goodson, Paula Rivera-Sánchez, Ana-Maria Bratovianu, Minkyung Baek, Neil P King, Hannele Ruohola-Baker, Julien S Baker
Top-down design of protein architectures with reinforcement learning. Science (New York, N.Y.) 380 (6642) (2023)
Neville P Bethel, Andrew J Borst, Fabio Parmeggiani, Matthew J Bick, T J Brunette, Hannah Nguyen, Alex Kang, Asim K Bera, Lauren Carter, Marcos C Miranda, Ryan D Kibler, Mila Lamb, Xinting Li, Banumathi Sankaran, Julien S Baker
Precisely patterned nanofibres made from extendable protein multiplexes. Nature chemistry (2023)
Isaac D Lutz, Shunzhi Wang, Christoffer H Norn, Alexis Courbet, Andrew J Borst, Yan Ting Zhao, Annie M Dosey, Longxing Cao, Jinwei Xu, Elizabeth M Leaf, Catherine Treichel, Patrisia Litvicov, Zhe Li, Alexander D Goodson, Paula Rivera-Sánchez, Ana-Maria Bratovianu, Minkyung Baek, Neil P King, Hannele Ruohola-Baker, Julien S Baker
Top-down design of protein architectures with reinforcement learning. Science (New York, N.Y.) 380 (6642) (2023)
Isaac D Lutz, Shunzhi Wang, Christoffer H Norn, Alexis Courbet, Andrew J Borst, Yan Ting Zhao, Annie M Dosey, Longxing Cao, Jinwei Xu, Elizabeth M Leaf, Catherine Treichel, Patrisia Litvicov, Zhe Li, Alexander D Goodson, Paula Rivera-Sánchez, Ana-Maria Bratovianu, Minkyung Baek, Neil P King, Hannele Ruohola-Baker, Julien S Baker
Top-down design of protein architectures with reinforcement learning. Science (New York, N.Y.) 380 (6642) (2023)
Erin C Yang, Robby Divine, Marcos C Miranda, Andrew J Borst, William Sheffler, Jason Z Zhang, Justin Decarreau, Amijai Saragovi, Mohamad H Abedi, Nicolas Goldbach, Maggie Ahlrichs, Craig Dobbins, Alexis Hand, Suna Cheng, Mila Lamb, Paul M Levine, Sidney Chan, Rebecca Skotheim, Jorge Fallas, George Ueda, Joshua M Lubner, Masaharu Somiya, Alena Khmelinskaia, Neil P King, Julien S Baker
Computational design of non-porous, pH-responsive antibody nanoparticles. bioRxiv : the preprint server for biology (2023)
Stacey R Gerben, Andrew J Borst, Derrick R Hicks, Isabelle Moczygemba, David Feldman, Brian Coventry, Wei Yang, Asim K Bera, Marcos C Miranda, Alex Kang, Hannah Nguyen, David Baker
Design of Diverse Asymmetric Pockets in De Novo Homo-oligomeric Proteins. Biochemistry 62 (2) (2023)
Andrew J Borst, Connor E Weidle, Matthew D Gray, Brandon Frenz, Joost Snijder, M Gordon Joyce, Ivelin S Georgiev, Guillaume Be Stewart-Jones, Peter D Kwong, Andrew T McGuire, Frank DiMaio, Leonidas Stamatatos, Marie Pancera, David J Veesler
Germline VRC01 antibody recognition of a modified clade C HIV-1 envelope trimer and a glycosylated HIV-1 gp120 core. eLife 7 (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Andrew J Borst