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This paper firstly presents a study of the impact of discharge prediction on the gradually-varied flow computations by comparing thirteen different methods for compound channels, where both energy and momentum equations are applied.
Described in this article are strategies implemented to increase the throughput of in vivo rodent pharmacokinetic (PK) studies using the snapshot PK study design and automated methods for compound submission, sample processing, data analysis and reporting.
We also make a brief review of methods for compound clustering and metabolic pathway reconstruction to show the applicability of the KCF-S descriptor in the Results and Discussion section.
Recently, a variety of in silico methods for compound target prediction have been proposed in the context of chemogenomics, where target prediction is based on compound structures and protein sequences as well as pre-existing knowledge from databases about known compound protein interactions [ 2– 7].
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This paper provides a fast kinematic analysis method for compound power-split CVTs, which consents to identify their functional parameters.
To address these issues, a novel method for compound faults detection of rolling element bearing based on the generalized demodulation (GD) algorithm is proposed in this paper.
As the non-isothermal method may not accurately predict absolute rate constant (k) and activation energy (E a) values (Yoshioka et al. 1987, 1988), the present study was designed to evaluate feasibility of the method for compound binning based on kinetic t90% (time for 10% degradation) and t98% (time for 2% loss of potency) values.
Another method for compound target prediction involves comparing the gene expression profiles of query compounds with those of other compounds of known target proteins.
The most straightforward method for compound target prediction involves directly using the fold change values of the associated compound protein pairs in the gene expression matrix, X.
To further examine the accuracy of the EI-Search method for compound similarity searching, we implemented an EI-Search program and tested it with different parameters.
The MS based analytical methods used for compound identity included MALDI-TOF-MS, trimethylsilyl gas chromatography mass spectrometry (TMS GC MS), and esterification (methanolic-hydrochloric acid) of the peripheral carboxylic acids.
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