Alexander D Goodson (Alex Goodson)

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 12

Top Topics

Machine Learning

Electron Microscopy

Top Venues

Science (New York, N.Y.)

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

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

Publications

Robbert J de Haas, Natalie Brunette, Alexander D Goodson, Justas Dauparas, Sue Y Yi, Erin C Yang, Quinton Dowling, Hannah Nguyen, Alex Kang, Asim K Bera, Banumathi Sankaran, Renko de Vries, Julien S Baker, Neil P King
Rapid and automated design of two-component protein nanomaterials using ProteinMPNN. Proceedings of the National Academy of Sciences of the United States of America 121 (13) (2024)
Robbert J de Haas, Natalie Brunette, Alexander D Goodson, Justas Dauparas, Sue Y Yi, Erin C Yang, Quinton Dowling, Hannah Nguyen, Alex Kang, Asim K Bera, Banumathi Sankaran, Renko de Vries, Julien S Baker, Neil P King
Rapid and automated design of two-component protein nanomaterials using ProteinMPNN. Proceedings of the National Academy of Sciences of the United States of America 121 (13) (2024)
Robbert J de Haas, Natalie Brunette, Alexander D Goodson, Justas Dauparas, Sue Y Yi, Erin C Yang, Quinton Dowling, Hannah Nguyen, Alex Kang, Asim K Bera, Banumathi Sankaran, Renko de Vries, Julien S Baker, Neil P King
Rapid and automated design of two-component protein nanomaterials using ProteinMPNN. Proceedings of the National Academy of Sciences of the United States of America 121 (13) (2024)
Robbert J de Haas, Natalie Brunette, Alexander D Goodson, Justas Dauparas, Sue Y Yi, Erin C Yang, Quinton Dowling, Hannah Nguyen, Alex Kang, Asim K Bera, Banumathi Sankaran, Renko de Vries, Julien S Baker, Neil P King
Rapid and automated design of two-component protein nanomaterials using ProteinMPNN. Proceedings of the National Academy of Sciences of the United States of America 121 (13) (2024)
Robbert J de Haas, Natalie Brunette, Alexander D Goodson, Justas Dauparas, Sue Y Yi, Erin C Yang, Quinton Dowling, Hannah Nguyen, Alex Kang, Asim K Bera, Banumathi Sankaran, Renko de Vries, Julien S Baker, Neil P King
Rapid and automated design of two-component protein nanomaterials using ProteinMPNN. Proceedings of the National Academy of Sciences of the United States of America 121 (13) (2024)
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)
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)
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)
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)