FTIR spectroscopic characterization of protein structure in aqueous and non-aqueous media

Date

1999-09-15

Author

Haris, PI
Severcan, Feride

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

161
views

0
downloads

With increasing use of proteins in many different applications, ranging from phramaceuticals to biosensors and biomaterials, there has emerged a need for protein structural characterisation in diverse environments. In many cases it is not sufficient to just have the three-dimensional structure of a protein in H2O or in the crystalline state. Often information on the structural properties of a protein is required in the presence of organic solvents, detergent micelles, phospholipid membranes and so on. Fourier transform infrared spectroscopy (FTIR) has been identified as one of the few techniques that can be applied for structural characterisation of proteins in such environments. Here we discuss how this technique is being used to obtain information on protein structure and stability in both aqueous and non-aqueous media. Examples are drawn from our studies of water soluble proteins and membrane proteins.

Subject Keywords

Infrared spectroscopy, Membrane proteins, Protein secondary structure, Protein folding, Protein stability, Protein conformation, FTIR spectroscopy

URI

https://hdl.handle.net/11511/56768

Journal

JOURNAL OF MOLECULAR CATALYSIS B-ENZYMATIC

DOI

https://doi.org/10.1016/s1381-1177(99)00030-2

Collections

Department of Biology, Article

Suggestions

OpenMETU
Core

Prediction of protein subcellular localization based on primary sequence data Özarar, Mert; Atalay, Mehmet Volkan; Department of Computer Engineering (2003) 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 nd 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 features...
Distance-based Indexing of Residue Contacts for Protein Structure Retrieval and Alignment Sacan, Ahmet; Toroslu, İsmail Hakkı; Ferhatosmanoglu, Hakan (2008-10-10) New protein structures are continuously being determined with the hope of deriving insights into the function and mechanisms of proteins, and consequently, protein structure repositories are growing by leaps and bounds. However, we are still far from having the right methods for sensitive and effective use of the available structural data. The fact that current structural analysis tools are impractical for large-scale applications have given rise to several approaches that try to quickly identify candidate ...
Multi-view subcellular localization prediction of human proteins Özsarı, Gökhan; Atalay, M. Volkan.; Department of Computer Engineering (2019) Determining the subcellular localization of proteins is crucial for Understanding the functions of proteins, drug targeting, systems biology, and proteomics research. Experimental validation of subcellular localization is an expensive and challenging process. There exist several computational methods for automated prediction of protein subcellular localization; however, there is still room for better performance. Here, we propose a multi-view SVM-based approach that provides predictions for human proteins. ...
CANCER DRIVER SUBNETWORK IDENTIFICATION BY NETWORK DISMANTLING METHODS Kasapoğlu, Fatma Ülkem; Tunçbağ, Nurcan; Department of Bioinformatics (2021-9) Tissue-specific protein protein interaction networks(TSPPI) are important for studying tissue-based cellular processes and protein functions. As the functions of tissues are various, the proteins they contain and the functions of these proteins also different than each other. Thus, these networks may help clinical studies both in tissue-specific cancer prediction by identification of the important groups in TSPPI. In this study, we aim to detect driver subnetworks in various TSPPIs and to understand effecti...
Predicting Protein-Protein Interactions from the Molecular to the Proteome Level Keskin, Ozlem; Tunçbağ, Nurcan; Gursoy, Attila (2016-04-27) Identification of protein protein interactions (PPIs) is at the center of molecular biology considering the unquestionable role of proteins in cells. Combinatorial interactions result in a repertoire of multiple functions; hence, knowledge of PPI and binding regions naturally serve to functional proteomics and drug discovery. Given experimental limitations to find all interactions in a proteome, computational prediction/modeling of protein interactions is a prerequisite to proceed on the way to complete int...

Citation Formats

P. Haris and F. Severcan, “FTIR spectroscopic characterization of protein structure in aqueous and non-aqueous media,” JOURNAL OF MOLECULAR CATALYSIS B-ENZYMATIC, pp. 207–221, 1999, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56768.