Your English writing platform
Discover LudwigSuggestions(2)
Exact(1)
The experimental isoelectric point (pI) of most proteins matched the theoretical value found in the database.
Similar(59)
Of the proteins matched, most (49) were predicted from VSTs, while 3 were from transcripts that were venom gland biased, but were not in the upper 2.5% of the distribution of eCPM ratio values.
The most sensitive approach (based on the number of proteins matched) used the SUPFAM MHC class I APD model, the PFAM Ig domain and HMMer2 in fs-mode.
darlingi proteins matched the An.
These sequences were then used in PSI-BLAST searches to obtain the most similar protein matches from non-octocorallian taxa.
The majority of the BlastP protein matched most to Ascomycota (73% of all).
Most of the protein matches to the top 50 assemblies from all three builds were to Phytophthora species.
Table 1 shows the proteins identified; most of the matched proteins had high sequence coverage, mass accuracy, and MOWSE scores.
Most contigs matched proteins from either potato, Solanum tuberosum, or to microbial species P. infestans, Pantoea vagans and Pseudomonas sp. To focus on P. infestans, we aligned fragments that were at least 140 bp to the genomes of P. infestans, S. tuberosum, P. vagans, P. syringae pv.
Most of these proteins, 64 protein spots, matched to proteins from the fully sequenced genome of the model plant Arabidopsis thaliana.
Whichever species gave the most similar protein match, this protein used in a RBH analysis to assign the ortholog.
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