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Subsequent analogue design and synthesis has been undertaken in order to improve the physicochemical properties (solubility, predicted CNS penetration) and to reduce these compounds' potency against human PI3Ks and mTOR.
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Selectivity is assessed based on pair-wise compound potency ratios.
In silico predictive models have proved valuable for the optimisation of compound potency, selectivity and safety profiles.
A new chemical series of antiproliferative compounds was identified via high-throughput screening on DU-145 human prostate carcinoma cell line (hit compound potency - 5.7 μM).
In general, substructures decreasing bioactivity tend to be small and less informative (e.g. single atoms or substructures with two heavy atoms), than those fostering compound potency.
In silico predictive models have proved to be valuable for the optimisation of compound potency, selectivity and safety profiles in the drug discovery process.
This allows the definition multiple selectivity queries involving the comparison of an arbitrary number of targets and compound potency values or ratios.
However, similarity search and machine learning methods that are commonly utilized for virtual screening generally do not take compound potency information into account.
We tested this strategy on the ferroptosis inducer and experimental therapeutic erastin, and observed substantial increases in compound potency.
To exploit the complementarity of the two prediction methods, in silico target prediction was used to predict MoA hypotheses for the anti-malarial compounds in the GSK TCAMS phenotypic dataset, whereas PCM was employed to quantify compound potency (pIC50).
Thus, a screening system for anti-SARS-CoV agents was developed, which evaluated compound potency, specificity and cytotoxicity at the initial screening phase.
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