Topology prediction for helical transmembrane proteins at 86% accuracy-Topology prediction at 86% accuracy
نویسندگان
چکیده
منابع مشابه
Topology prediction for helical transmembrane proteins at 86% accuracy.
Previously, we introduced a neural network system predicting locations of transmembrane helices (HTMs) based on evolutionary profiles (PHDhtm, Rost B, Casadio R, Fariselli P, Sander C, 1995, Protein Sci 4:521-533). Here, we describe an improvement and an extension of that system. The improvement is achieved by a dynamic programming-like algorithm that optimizes helices compatible with the neura...
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MOTIVATION Many important biological processes such as cell signaling, transport of membrane-impermeable molecules, cell-cell communication, cell recognition and cell adhesion are mediated by membrane proteins. Unfortunately, as these proteins are not water soluble, it is extremely hard to experimentally determine their structure. Therefore, improved methods for predicting the structure of thes...
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ژورنال
عنوان ژورنال: Protein Science
سال: 1996
ISSN: 0961-8368,1469-896X
DOI: 10.1002/pro.5560050824