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The several computational tools of, such as Density Functional Theory (DFT), Car-Parrinello molecular dynamics simulations, and hybrid QM/MM approaches, can be used for calculations.
To help satisfy this constraint, several computational tools have been developed to analyze the effectiveness of various shielding materials and structures exposed to space radiation.
Several computational tools are available online to aid in design and the identification of candidate off-target binding sites, as well as assembly and implementation.
In this article several computational tools related to parameter identification and optimal experimental design (OED) in electrochemical impedance spectroscopy (EIS) are introduced.
Several computational tools were employed to predict epitopes (both T and B cell restricted) with stringent regulation for the improvement of confidence.
HCA techniques have also been incorporated into several computational tools for a quite a long time now regarding statistical analysis and are still the subject of many recent computational applications in chemistry [8 10].
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To advance this study, during the past two decades, systematic collections of pathway data from experimental studies have been compiled and distributed freely by several databases, which also integrate various computational tools for further analysis.
At present several available computational tools estimate with various scoring efficiencies whether a variation is or is not disease-associated, starting from the protein sequence and/or structure [ 2, 3].
Amino acid sequences deduced from the cDNA sequences of the novel genes were analyzed using several computational bioinformatics tools.
Using several computational bioinformatics tools, amino acid sequences deduced from the cDNA sequences of genes were analyzed.
We adopted a multistep integrated analysis of miRNA profiling data with gene expression profiling and several computational prediction tools to identify specifically miRNAs deregulated in PTCL/NOS vs normal T-lymphocytes that might affect the transcriptional profile of these tumours.
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