Machine Learning Guides Peptide Nucleic Acid Flow Synthesis and Sequence Design

Machine Learning Guides Peptide Nucleic Acid Flow Synthesis and Sequence Design

Abstract Peptide nucleic acids (PNAs) are potential antisense therapies for genetic, acquired, and viral diseases. Efficiently selecting candidate PNA sequences for synthesis and evaluation from a genome containing hundreds to thousands of options can be challenging. To facilitate this process, this...

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Bibliographic Details
Main Authors: Chengxi Li, Genwei Zhang, Somesh Mohapatra, Alex J. Callahan, Andrei Loas, Rafael Gómez‐Bombarelli, Bradley L. Pentelute
Format: Article
Language:English
Published: Wiley 2022-12-01
Series:Advanced Science
Subjects:
automated synthesis
drug design
machine learning
peptide nucleic acid
yield prediction
Online Access:https://doi.org/10.1002/advs.202201988

Internet

https://doi.org/10.1002/advs.202201988

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