New Bioinformatics Findings from Northeastern University Reported (Biochemical Activity of 17 Cancer-associated Variants of Dna Polymerase Kappa Predicted By Electrostatic Properties).
In: Drug Week, 2023-12-08, S. 550-550
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Zugriff:
A recent report from Northeastern University in Boston, Massachusetts discusses the use of computational tools to predict the effects of genetic variations on the activity of a DNA polymerase called pol kappa, which is involved in DNA damage and repair. The researchers used a machine learning method called Partial Order Optimum Likelihood (POOL) along with other bioinformatic tools to identify which genetic variants are likely to impact the biochemical activity of pol kappa. They found that certain variants had lower activity compared to the wild-type pol kappa, while others had similar catalytic efficiency. The study concludes that these computational and bioinformatic tools can be used to identify genetic variants with deleterious effects and altered biochemical activity. [Extracted from the article]
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Titel: |
New Bioinformatics Findings from Northeastern University Reported (Biochemical Activity of 17 Cancer-associated Variants of Dna Polymerase Kappa Predicted By Electrostatic Properties).
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Zeitschrift: | Drug Week, 2023-12-08, S. 550-550 |
Veröffentlichung: | 2023 |
Medientyp: | serialPeriodical |
ISSN: | 1531-6440 (print) |
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