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Cited by 624

The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.

Quest for Novel Chemical Entities through Incorporation of Silicon in Drug Scaffolds

Open access
Ramesh, Remya, Reddy, D. Srinivasa·2018·Journal of Medicinal Chemistry

Abstract

In order to optimize a lead molecule for further development, bioisosteric replacements are generally adopted as one of the strategies. Silicon appears to be the right choice as a carbon isostere because of the similarity in chemical properties. Silicon can be strategically introduced in a molecule to modulate its druglike properties, providing medicinal chemists with an unconventional strategy for replacing a carbon atom. Silicon can also be introduced to replace other heteroatoms and can act as a surrogate of functional groups such as olefin and amide as well. The present Perspective focuses on the opportunities that silicon incorporation offers in drug discovery, with an emphasis on case studies where introduction of silicon has created a benefit over its analog. We have tried to highlight all the recent developments in the field and briefly discuss the challenges associated with them.

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Crossref · 10.1021/acs.jmedchem.7b00718

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Metadata

Authors
Ramesh, R., & Reddy, D. S.
Venue
Journal of Medicinal Chemistry
Published
2017-10-17
Volume
61
Issue
9
Pages
3779-3798
ISSN
  • 0022-2623 (ISSN-L)
  • 1520-4804
OpenAlex
W2766720996
Cited by
624
References
74
FWCI
10.72
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Quest for Novel Chemical Entities through Incorporation of Silicon in Drug Scaffolds. https://app.cochat.ai/papers/10.1021/acs.jmedchem.7b00718
The paper
Ramesh, R., & Reddy, D. S. (2018). Quest for Novel Chemical Entities through Incorporation of Silicon in Drug Scaffolds. Journal of Medicinal Chemistry. https://doi.org/10.1021/acs.jmedchem.7b00718

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.