Experimental and bioinformatic approaches for interrogating protein-protein interactions to determine protein function.

نویسندگان

  • Arnaud Droit
  • Guy G Poirier
  • Joanna M Hunter
چکیده

An ambitious goal of proteomics is to elucidate the structure, interactions and functions of all proteins within cells and organisms. One strategy to determine protein function is to identify the protein-protein interactions. The increasing use of high-throughput and large-scale bioinformatics-based studies has generated a massive amount of data stored in a number of different databases. A challenge for bioinformatics is to explore this disparate data and to uncover biologically relevant interactions and pathways. In parallel, there is clearly a need for the development of approaches that can predict novel protein-protein interaction networks in silico. Here, we present an overview of different experimental and bioinformatic methods to elucidate protein-protein interactions.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Protein Secondary Structure Prediction: a Literature Review with Focus on Machine Learning Approaches

DNA sequence, containing all genetic traits is not a functional entity. Instead, it transfers to protein sequences by transcription and translation processes. This protein sequence takes on a 3D structure later, which is a functional unit and can manage biological interactions using the information encoded in DNA. Every life process one can figure is undertaken by proteins with specific functio...

متن کامل

Effect of Mutation in Efflux Pump Regulatory Protein (MexR) of Pseudomonas aeruginosa: A Bioinformatic Study

ABSTRACT            Background and Objectives: Pseudomonas aeruginosa is an important non-fermenting gram-negative hospital-acquired pathogen. Treatment of P. aeruginosa infections has become more challenging due to overexpression of efflux pumps. The aim of the present study was to apply in silico analysis to evaluate the structure of the effl...

متن کامل

Mapping of TP53 protein network using cytoscape software

TP53 acts as a tumor suppressor in cancer. It induces cell cycle arrest or apoptosis in response to cellular stress and damage. p53 gene alteration could cause uncontrolled cell proliferation.In the present study, we used TP53 gene as the seed in the construction of a protein-protein functional association network to identify genes that might involve in tumorgenesis process with TP53. TP53 prot...

متن کامل

Study of PKA binding sites in cAMP-signaling pathway using structural protein-protein interaction networks

Backgroud: Protein-protein interaction, plays a key role in signal transduction in signaling pathways. Different approaches are used for prediction of these interactions including experimental and computational approaches. In conventional node-edge protein-protein interaction networks, we can only see which proteins interact but ‘structural networks’ show us how these proteins inter...

متن کامل

Energy study at different solvents for potassium Channel Protein by Monte Carlo, Molecular and Langevin Dynamics Simulations

Potassium Channels allow potassium flux and are essential for the generation of electric current acrossexcitable membranes. Potassium Channels are also the targets of various intracellular controlmechanisms; such that the suboptimal regulation of channel function might be related to pathologicalconditions. Realistic studies of ion current in biologic channels present a major challenge for compu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • Journal of molecular endocrinology

دوره 34 2  شماره 

صفحات  -

تاریخ انتشار 2005