High-throughput cDNA screening utilizing a low order neural network filter.

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

Biotechniques

journal_title

BioTechniques

authors

Huang GM,Farkas J,Hood L

doi

10.2144/96216bc01

subject

Has Abstract

pub_date

1996-12-01 00:00:00

pages

1110-4

issue

6

eissn

0736-6205

issn

1940-9818

journal_volume

21

pub_type

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