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Recently, Schotland et al. [29] attempted to data-mine FAERS reports for SJS/TEN associations with HLA-variants using the Molecular Analysis of Side Effects (MASE) approach.
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Observed metabolites were identified using the molecular network analysis.
Such a comprehensive approach would be particularly favorable for questions that are not entirely addressed using the molecular evolutionary analysis of a particular gene/protein.
Subsequent analysis, including multiple-sequence alignment with MUSCLE 21 (multiple-sequence alignment with high accuracy and high throughput) and phylogenetic analysis with the minimum-evolution method, 22 was performed using the Molecular Evolutionary Genetics Analysis 5 program (MEGA5, www.megasoftware.net).net
Alignments were performed using the Molecular Evolutionary Genetics Analysis (MEGA) software version 634.
Using the Molecular Field Topology Analysis (MFTA) approach, [2] predictive models and activity maps for the influence of local (atomic) properties on the inhibitory activity and selectivity were obtained.
Sequence alignment was done using the molecular evolutionary genetics analysis software version 5 (MEGA5) [ 27].
MAFFT fasta formatted sequences were keyed in for phylogenetic analyses using the Molecular Evolutionary Genetic Analysis 4 (MEGA4) program [ 45].
The resulting haplotypes were clustered into four groups of similar haplotypes (clades) using the molecular evolutionary genetic analysis software package MEGA2 [ 15].
Phylogenetic trees were constructed from the amplified region of the 12th segment sequence by using the molecular evolutionary genetics analysis (MEGA) version 4 software (www.megasoftware.net) from aligned nucleotide sequences.
To confirm the variation in expression of the selected genes at the protein level, we performed immunohistochemical analysis of matched normal sinonasal and tumor tissues from the 15 patients used for the molecular analysis as well as from an independent set of 11 other patients, using specific antibodies for LGALS4, ACS5 and CLU (Table 3).
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