Exact(60)
We used the SVM, MLR, and BNT approaches as activity prediction models to predict the bioactivity of the TCM compounds.
Interestingly, some of the compounds show activity against JAK2 by PASS biological activity prediction.
Solar activity prediction methods have been wide-ranging, mostly numerical, and essentially curve fitting.
This paper presents a new approach based on kernel functions to solve activity prediction problem for chemical compounds.
Lastly, the development of powerful computer-based software permits complex QSAR analysis, molecular modelling, activity prediction and analogue design.
The antimicrobial activity prediction tools aim to help the novel antimicrobial peptides (AMP) sequences discovery, utilizing machine learning methods.
For ANN model, weight analysis is carried out to analyze the role of various descriptors in activity prediction.
Solar activity prediction studies and services in NAOC cover short-term, medium-term, and long-term forecast of solar activities.
This work proposes an effective approach for the design and activity prediction of new potential substrate-based SIRT1 inhibitors.
These kernels methods have led to impressive performance results in many several chemoinformatics problems like biological activity prediction.
These results may provide meaningful guidance to the further work including the similar lead compounds' structure modification and activity prediction.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com