Abstract:
:A low order neural network-based filter was designed as a rapid screening agent for single-spanning transmembrane regions in an integrated informatics system. A rapid screening algorithm was seen as a compromise between costly structure-specific techniques and simple rules that gave a high false-positive rate for cDNA. The filter was applied to a library of 2123 anonymous cDNA sequences, which resulted in 61 detections. Evaluation of the detections with two other dissimilar computer prediction algorithms yielded strong transmembrane predictions for 15 of the detections, while 8 of the detections resulted in a definitive negative result. Homology searches performed on the sequences with detection reports yielded 13 homologs in the predicted reading frame, four of which are membrane associated.
journal_name
Biotechniquesjournal_title
BioTechniquesauthors
Huang GM,Farkas J,Hood Ldoi
10.2144/96216bc01subject
Has Abstractpub_date
1996-12-01 00:00:00pages
1110-4issue
6eissn
0736-6205issn
1940-9818journal_volume
21pub_type
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