Open-Source Approach to GPU-Accelerated Substructure Search

Chemical substructure search is a critical task in medicinal chemistry and small-molecule drug discovery, enabling the retrieval of molecules from databases based on specific chemical features. While systems exist for this purpose, the challenge of efficient and swift searching persists, particularly as data storage migrates to the cloud, introducing new complexities. This study provides a comprehensive analysis of chemical substructure searches, showcasing the benefits of graphics processing unit-accelerated fingerprint screening. The research highlights strategies for optimizing performance, making significant advancements in substructure searching, a pivotal aspect of drug discovery and molecular research. The accessible and scalable nature of the proposed approach makes it a valuable resource for scientists aiming to enhance their substructure search capabilities.

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Publication Details

Journal
Journal of Chemical Information and Modeling
Published
2024-09-03
DOI
https://doi.org/10.1021/acs.jcim.4c00679
Citations
2
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.36
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article

Open-Source Approach to GPU-Accelerated Substructure Search

E Dauger Dean, Natalja Kurbatova, Melchor Sánchez-Martínez, Andrew J. Whitehouse et al.
2 citations
Journal of Chemical Information and Modeling
Computational Drug Discovery Methods
0.36
article

Open-Source Approach to GPU-Accelerated Substructure Search

E Dauger Dean, Natalja Kurbatova, Melchor Sánchez-Martínez, Andrew J. Whitehouse, Seyedeh Maryam Salehi
article en
2 citations

Abstract

Chemical substructure search is a critical task in medicinal chemistry and small-molecule drug discovery, enabling the retrieval of molecules from databases based on specific chemical features. While systems exist for this purpose, the challenge of efficient and swift searching persists, particularly as data storage migrates to the cloud, introducing new complexities. This study provides a comprehensive analysis of chemical substructure searches, showcasing the benefits of graphics processing unit-accelerated fingerprint screening. The research highlights strategies for optimizing performance, making significant advancements in substructure searching, a pivotal aspect of drug discovery and molecular research. The accessible and scalable nature of the proposed approach makes it a valuable resource for scientists aiming to enhance their substructure search capabilities.

Journal of Chemical Information and ModelingVol. 64(18)
Merseytravel (GB)
Openalex Percentile: Top 37%
Computational Drug Discovery Methods
0.36
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