Lyssna när som helst, var som helst

Kliv in i en oändlig värld av stories

  • 1 miljon stories
  • Hundratals nya stories varje vecka
  • Få tillgång till exklusivt innehåll
  • Avsluta när du vill
Starta erbjudandet
SE - Details page - Device banner - 894x1036

Computational Prediction of Protein Complexes from Protein Interaction Networks

Serier

1 av 64

Språk
Engelska
Format
Kategori

Fakta

Complexes of physically interacting proteins constitute fundamental functional units that drive almost all biological processes within cells. A faithful reconstruction of the entire set of protein complexes (the "complexosome") is therefore important not only to understand the composition of complexes but also the higher level functional organization within cells. Advances over the last several years, particularly through the use of high-throughput proteomics techniques, have made it possible to map substantial fractions of protein interactions (the "interactomes") from model organisms including Arabidopsis thaliana (a flowering plant), Caenorhabditis elegans (a nematode), Drosophila melanogaster (fruit fly), and Saccharomyces cerevisiae (budding yeast). These interaction datasets have enabled systematic inquiry into the identification and study of protein complexes from organisms. Computational methods have played a significant role in this context, by contributing accurate, efficient, and exhaustive ways to analyze the enormous amounts of data. These methods have helped to compensate for some of the limitations in experimental datasets including the presence of biological and technical noise and the relative paucity of credible interactions.

In this book, we systematically walk through computational methods devised to date (approximately between 2000 and 2016) for identifying protein complexes from the network of protein interactions (the protein-protein interaction (PPI) network). We present a detailed taxonomy of these methods, and comprehensively evaluate them for protein complex identification across a variety of scenarios including the absence of many true interactions and the presence of false-positive interactions (noise) in PPI networks. Based on this evaluation, we highlight challenges faced by the methods, for instance in identifying sparse, sub-, or small complexes and in discerning overlapping complexes, and reveal how a combination of strategies is necessary to accurately reconstruct the entire complexosome.

© 2017 ACM Books (E-bok): 9781970001549

Utgivningsdatum

E-bok: 30 maj 2017

Andra gillade också ...

Därför kommer du älska Storytel:

  • 1 miljon stories

  • Lyssna och läs offline

  • Exklusiva nyheter varje vecka

  • Kids Mode (barnsäker miljö)

Populäraste valet

Premium

Lyssna och läs ofta.

169 kr /månad
  • 1 konto

  • 100 timmar/månad

  • Exklusivt innehåll varje vecka

  • Avsluta när du vill

  • Obegränsad lyssning på podcasts

Starta erbjudandet

Unlimited

Lyssna och läs obegränsat.

229 kr /månad
  • 1 konto

  • Lyssna obegränsat

  • Exklusivt innehåll varje vecka

  • Avsluta när du vill

  • Obegränsad lyssning på podcasts

Starta erbjudandet

Family

Dela stories med hela familjen.

Från 239 kr/månad
  • 2-6 konton

  • 100 timmar/månad för varje konto

  • Exklusivt innehåll varje vecka

  • Avsluta när du vill

  • Obegränsad lyssning på podcasts

2 konton

239 kr /månad
Starta erbjudandet

Flex

Lyssna och läs ibland – spara dina olyssnade timmar.

99 kr /månad
  • 1 konto

  • 20 timmar/månad

  • Spara upp till 100 olyssnade timmar

  • Exklusivt innehåll varje vecka

  • Avsluta när du vill

  • Obegränsad lyssning på podcasts

Starta erbjudandet