SIME: synthetic insight-based macrolide enumerator to generate the V1B library of 1 billion macrolides
Abstract We report on a new cheminformatics enumeration technology—SIME, synthetic insight-based macrolide enumerator—a new and improved software technology. SIME can enumerate fully assembled macrolides with synthetic feasibility by utilizing the constitutional and structural knowledge extracted fr...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
BMC
2020-04-01
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Series: | Journal of Cheminformatics |
Subjects: | |
Online Access: | http://link.springer.com/article/10.1186/s13321-020-00427-6 |