Memory augmented recurrent neural networks for de-novo drug design

Naveen Suresh; Neelesh Chinnakonda Ashok Kumar; Srikumar Subramanian; Gowri Srinivasa

doi:10.1371/journal.pone.0269461

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Peer-reviewed

Research Article

Memory augmented recurrent neural networks for de-novo drug design

Naveen Suresh ,

Contributed equally to this work with: Naveen Suresh, Neelesh Chinnakonda Ashok Kumar, Srikumar Subramanian

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliation PES Center for Pattern Recognition and Department of Computer Science and Engineering, PES University, Bengaluru, Karnataka, India
⨯
Neelesh Chinnakonda Ashok Kumar ,

Contributed equally to this work with: Naveen Suresh, Neelesh Chinnakonda Ashok Kumar, Srikumar Subramanian

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliation PES Center for Pattern Recognition and Department of Computer Science and Engineering, PES University, Bengaluru, Karnataka, India
⨯
Srikumar Subramanian ,

Contributed equally to this work with: Naveen Suresh, Neelesh Chinnakonda Ashok Kumar, Srikumar Subramanian

Roles Conceptualization, Data curation, Formal analysis, Methodology, Software, Validation, Visualization, Writing – original draft

Affiliation PES Center for Pattern Recognition and Department of Computer Science and Engineering, PES University, Bengaluru, Karnataka, India
⨯
Gowri Srinivasa

Roles Conceptualization, Formal analysis, Methodology, Project administration, Supervision, Validation, Visualization, Writing – review & editing

* E-mail: gsrinivasa@pes.edu

Affiliation PES Center for Pattern Recognition and Department of Computer Science and Engineering, PES University, Bengaluru, Karnataka, India

https://orcid.org/0000-0002-3568-6749

⨯

Memory augmented recurrent neural networks for de-novo drug design

Naveen Suresh,
Neelesh Chinnakonda Ashok Kumar,
Srikumar Subramanian,
Gowri Srinivasa

Published: June 23, 2022
https://doi.org/10.1371/journal.pone.0269461

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