Success rate of predicting unique versus conserved organelle proteins.

Success rate (sensitivity) of predicting experimentally verified conserved and unique proteins for (a) plastids and (c) mitochondria. All proteins from each species were sorted into conserved or unique based on sequence-based protein clustering (see <...

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Bibliographic Details
Main Author:	Sven B. Gould (12237287) (author)
Other Authors:	Jonas Magiera (20161413) (author), Carolina García García (20161416) (author), Parth K. Raval (8551167) (author)
Published:	2024
Subjects:	Biochemistry Evolutionary Biology Plant Biology Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Information Systems not elsewhere classified zea mays </ studies make use query species increases plastids import thousands physcomitrium patens </ mitochondrial proteome data chlamydomonas reinhardtii </ arabidopsis thaliana </ experimental data ranges experimental localisation remains div >< p current performance issues localisation based experimental plastid sometimes impossible results worsen results encourage random sampling protein ’ performance borders organelle errors optimizing performance next generation neural networks main driver frequent task diverse set 2 %.
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Success rate of predicting unique versus conserved organelle proteins.

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