2L-PCA: a two-level principal component analyzer for quantitative drug design and its applications Article Swipe
Qi-Shi Du
,
Shuqing Wang
,
Nengzhong Xie
,
Qingyan Wang
,
Ri‐Bo Huang
,
Kuo‐Chen Chou
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.18632/oncotarget.19757
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.18632/oncotarget.19757
A two-level principal component predictor (2L-PCA) was proposed based on the principal component analysis (PCA) approach. It can be used to quantitatively analyze various compounds and peptides about their functions or potentials to become useful drugs. One level is for dealing with the physicochemical properties of drug molecules, while the other level is for dealing with their structural fragments. The predictor has the self-learning and feedback features to automatically improve its accuracy. It is anticipated that 2L-PCA will become a very useful tool for timely providing various useful clues during the process of drug development.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.18632/oncotarget.19757
- http://www.oncotarget.com/index.php?journal=oncotarget&page=article&op=download&path%5B%5D=19757&path%5B%5D=63105
- OA Status
- diamond
- Cited By
- 24
- References
- 97
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2741312552
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2741312552Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.18632/oncotarget.19757Digital Object Identifier
- Title
-
2L-PCA: a two-level principal component analyzer for quantitative drug design and its applicationsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2017Year of publication
- Publication date
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2017-08-01Full publication date if available
- Authors
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Qi-Shi Du, Shuqing Wang, Nengzhong Xie, Qingyan Wang, Ri‐Bo Huang, Kuo‐Chen ChouList of authors in order
- Landing page
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https://doi.org/10.18632/oncotarget.19757Publisher landing page
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https://www.oncotarget.com/index.php?journal=oncotarget&page=article&op=download&path%5B%5D=19757&path%5B%5D=63105Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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-
diamondOpen access status per OpenAlex
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https://www.oncotarget.com/index.php?journal=oncotarget&page=article&op=download&path%5B%5D=19757&path%5B%5D=63105Direct OA link when available
- Concepts
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Principal component analysis, Computer science, Drug, Component (thermodynamics), Principal (computer security), Drug development, Process (computing), Pattern recognition (psychology), Artificial intelligence, Data mining, Medicine, Pharmacology, Thermodynamics, Operating system, PhysicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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24Total citation count in OpenAlex
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2022: 1, 2021: 1, 2020: 6, 2019: 4, 2018: 6Per-year citation counts (last 5 years)
- References (count)
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97Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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