dc.contributor.author |
Geronikaki, Athina |
|
dc.contributor.author |
Dubey, Gurudutt |
|
dc.contributor.author |
Petrou, Anthi |
|
dc.contributor.author |
Kirubakaran, Sivapriya |
|
dc.contributor.other |
Cheminformatics, QSAR and machine learning applications for novel drug development |
|
dc.coverage.spatial |
Netherlands |
|
dc.date.accessioned |
2023-07-04T07:45:09Z |
|
dc.date.available |
2023-07-04T07:45:09Z |
|
dc.date.issued |
2023-06 |
|
dc.identifier.citation |
Geronikaki, Athina; Dubey, Gurudutt; Petrou, Anthi and Kirubakaran, Sivapriya, "Computer-aided drug design: an overview", in Cheminformatics, QSAR and machine learning applications for novel drug development, DOI: 10.1016/B978-0-443-18638-7.00024-4, Amsterdam: Elsevier, pp. 39-68, Jun. 2023, ISBN: 9780443186387. |
|
dc.identifier.isbn |
9780443186387 |
|
dc.identifier.uri |
https://doi.org/10.1016/B978-0-443-18638-7.00024-4 |
|
dc.identifier.uri |
https://repository.iitgn.ac.in/handle/123456789/8905 |
|
dc.description.abstract |
Computer-aided drug discovery (CADD) methods have substantially assisted in producing therapeutically important small compounds for over three decades. These techniques can be categorized as structure-based or ligand-based. In theory, high-throughput screening and structure-based approaches are similar. De novo ligand design, molecular docking, and molecular dynamic simulations are examples of structure-based techniques. The theory behind the most effective techniques and current productive implementations are explained in this chapter. The ligand information is used in ligand-based techniques to predict activity based on how closely related or different a ligand is from known active ligands. We have discussed popular ligand-based techniques such as quantitative structure-activity correlations and molecular descriptors, structure-based drug design, and a few significant case studies that successfully implemented the CADD. |
|
dc.description.statementofresponsibility |
by Athina Geronikaki, Gurudutt Dubey, Anthi Petrou and Sivapriya Kirubakaran |
|
dc.format.extent |
pp. 39-68 |
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dc.language.iso |
en_US |
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dc.publisher |
Elsevier |
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dc.subject |
CADD |
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dc.subject |
Drug discovery |
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dc.subject |
Molecular docking |
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dc.subject |
Molecular dynamic simulations |
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dc.subject |
Molecular descriptors |
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dc.title |
Computer-aided drug design: an overview |
|
dc.type |
Book chapters |
|