Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Characterization and prediction of protein interfaces to infer protein-protein interaction networks
Download
index.pdf
Date
2008-04-01
Author
Keskin, Ozlem
Tunçbağ, Nurcan
GÜRSOY, Attila
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
1195
views
0
downloads
Cite This
Complex protein-protein interaction networks govern biological processes in cells. Protein interfaces are the sites where proteins physically interact. Identification and characterization of protein interfaces will lead to understanding how proteins interact with each other and how they are involved in protein-protein interaction networks. What makes a given interface bind to different proteins; how similar/different the interactions in proteins are some key questions to be answered. Enormous amount of protein structures and experimental protein-protein interactions data necessitate advanced computational methods for analyzing and inferring new knowledge. Interface prediction methods use a wide range of sequence, structural and physico-chemical characteristics that distinguish interface residues from non-interface surface residues. Here, we present a review focusing on the characteristics of interfaces and the current status of interface prediction methods.
Subject Keywords
Structurally Conserved Residues
,
Hot-Spots
,
Interaction Sites
,
Binding-Sites
,
Statistical-Analysis
,
Recognition Sites
,
Saccharomyces-Cerevisiae
,
Systems Biology
,
Patch Analysis
,
In-Silico
URI
https://hdl.handle.net/11511/32640
Journal
CURRENT PHARMACEUTICAL BIOTECHNOLOGY
DOI
https://doi.org/10.2174/138920108783955191
Collections
Graduate School of Informatics, Article
Suggestions
OpenMETU
Core
Prediction of protein subcellular localization based on primary sequence data
Ozarar, M; Atalay, Mehmet Volkan; Atalay, Rengül (2004-04-30)
Subcellular localization is crucial for determining the functions of proteins. A system called prediction of protein subcellular localization (P2SL) that predicts the subcellular localization of proteins in eukaryotic organisms based on the amino acid content of primary sequences using amino acid order is designed. The approach for prediction is to find the most frequent motifs for each protein in a given class based on clustering via self organizing maps and then to use these most frequent motifs as featur...
Integration of topological measures for eliminating non-specific interactions in protein interaction networks
BAYIR, Murat Ali; GUNEY, Tacettin Dogacan; Can, Tolga (Elsevier BV, 2009-05-28)
High-throughput protein interaction assays aim to provide a comprehensive list of interactions that govern the biological processes in a cell. These large-scale sets of interactions, represented as protein-protein interaction networks, are often analyzed by computational methods for detailed biological interpretation. However, as a result of the tradeoff between speed and accuracy, the interactions reported by high-throughput techniques occasionally include non-specific (i.e., false-positive) interactions. ...
Modeling the combined effect of RNA-binding proteins and microRNAs in post-transcriptional regulation
HAFEZQORANİ, Saber; LAFZİ, Atefeh; de Bruin, Ruben G.; VAN ZONNEVELD, Anton Jan; van der Veer, Eric P.; Aydın Son, Yeşim; Kazan, Hilal (2016-05-19)
Recent studies show that RNA-binding proteins (RBPs) and microRNAs (miRNAs) function in coordination with each other to control post-transcriptional regulation (PTR). Despite this, the majority of research to date has focused on the regulatory effect of individual RBPs or miRNAs. Here, we mapped both RBP and miRNA binding sites on human 3'UTRs and utilized this collection to better understand PTR. We show that the transcripts that lack competition for HuR binding are destabilized more after HuR depletion. W...
Object-Oriented Segmentation of Cell Nuclei in Fluorescence Microscopy Images
Koyuncu, Can Fahrettin; Atalay, Rengül; GÜNDÜZ DEMİR, Çiğdem (Wiley, 2018-10-01)
Cell nucleus segmentation remains an open and challenging problem especially to segment nuclei in cell clumps. Splitting a cell clump would be straightforward if the gradients of boundary pixels in-between the nuclei were always higher than the others. However, imperfections may exist: inhomogeneities of pixel intensities in a nucleus may cause to define spurious boundaries whereas insufficient pixel intensity differences at the border of overlapping nuclei may cause to miss some true boundary pixels. In co...
Live-cell imaging of Pol II promoter activity to monitor gene expression with RNA IMAGEtag reporters
SHIN, Ilchung; RAY, Judhajeet; Gupta, Vinayak; İlgü, Müslüm; Beasley, Jonathan; BENDICKSON, Lee; MEHANOVIC, Samir; Kraus, George A.; Nilsen-Hamilton, Marit (Oxford University Press (OUP), 2014-01-01)
We describe a ribonucleic acid (RNA) reporter system for live-cell imaging of gene expression to detect changes in polymerase II activity on individual promoters in individual cells. The reporters use strings of RNA aptamers that constitute IMAGEtags (Intracellular MultiAptamer GEnetic tags) that can be expressed from a promoter of choice. For imaging, the cells are incubated with their ligands that are separately conjugated with one of the FRET pair, Cy3 and Cy5. The IMAGEtags were expressed in yeast from ...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
O. Keskin, N. Tunçbağ, and A. GÜRSOY, “Characterization and prediction of protein interfaces to infer protein-protein interaction networks,”
CURRENT PHARMACEUTICAL BIOTECHNOLOGY
, pp. 67–76, 2008, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/32640.