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Moreover, structural observations and simulation revealed the dynamic landscape of the cavity, which improves our understanding of the impact of the mutation on p53 stability.
We then investigated the impact of the mutation on protein translation accuracy.
SIFT (Sorting Intolerant from Tolerant, http://sift.jcvi.org/www/SIFT_seq_submit2.html) was used to predict the impact of the mutation on the protein.
Since swarming of P. aeruginosa is dependent on rhamnolipid production [8], we evaluated the impact of the mutation on this biosynthesis.
This strategy allows one to learn the efficiency of each step independent of the impact of the mutation on earlier steps.
To test for the impact of the mutation at later stages of seed development, we looked at the size of the cellularizing endosperm, when it reaches maximum size.
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The impact of the mutations on structural and redox properties as well as on the reaction rate with SO are verified.
We used SnpEff software (v3.2) to predict the impact of the mutations [ 32, 33].
We also assessed the impact of the mutations on protein coding.
The impact of the mutations on channeling was evaluated by measuring coupled PRODH-P5CDH activity.
Importantly, the database stores experimental information about the impact of the mutations on miRNA function and their association with cancer.
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