‘TransMem’: a neural network implemented in Excel spreadsheets for predicting transmembrane domains of proteins | Zendy

Patrick Aloy | Zendy; Juan Cedano | Zendy; Baldomero Oliva | Zendy; Francesc Avilés | Zendy; Enrique Querol | Zendy

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‘TransMem’: a neural network implemented in Excel spreadsheets for predicting transmembrane domains of proteins

Author(s) -

Patrick Aloy,

Juan Cedano,

Baldomero Oliva,

Francesc Avilés,

Enrique Querol

Publication year - 1997

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/13.3.231

Subject(s) - file transfer protocol , computer science , transmembrane protein , directory , software , set (abstract data type) , artificial neural network , operating system , orfs , transmembrane domain , computational biology , data mining , bioinformatics , artificial intelligence , amino acid , programming language , biology , peptide sequence , genetics , gene , open reading frame , receptor , the internet

Genomic sequences from different organisms, even prokaryotic, have plenty of orphan ORFs, making necessary methods for the prediction of protein structure and function. The prediction of the presence of hydrophobic transmembrane (HTM) stretches is a valuable clue for this.

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