Efficient prediction of human protein-protein interactions at a global scale

• Background: Our knowledge of global protein-protein interaction (PPI) networks in complex organisms such as humans is hindered by technical limitations of current methods. Results: On the basis of short co-occurring polypeptide regions, we developed a tool called MP-PIPE capable of predicting a global human PPI network within 3 months. With a recall of 23% at a precision of 82.1%, we predicted 172,132 putative PPIs. We demonstrate the usefulness of these predictions through a range of experiments. Conclusions: The speed and accuracy associated with MP-PIPE can make this a potential tool to study individual human PPI networks (from genomic sequences alone) for personalized medicine.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Medicinska och farmaceutiska grundvetenskaper -- Cell- och molekylärbiologi (hsv//swe)

MEDICAL AND HEALTH SCIENCES  -- Basic Medicine -- Cell and Molecular Biology (hsv//eng)

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin (hsv//swe)

MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine (hsv//eng)

Nyckelord

Protein-protein interactions

Computational prediction

Human proteome

Massively parallel

YEAST SACCHAROMYCES-CEREVISIAE

SHORT POLYPEPTIDE SEQUENCES

INTERACTION

NETWORKS

ALLERGIC RHINITIS

DNA-DAMAGE

COMPUTATIONAL METHODS

MESSENGER-RNA

BREAST-CANCER

AURORA B

DISEASE

Biochemical Research Methods

Biotechnology & Applied Microbiology

Mathematical & Computational Biology

Publikations- och innehållstyp

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