Transmembrane proteins constitute some 20%–30% of proteins of all prokaryotic and eukaryotic organisms and are involved in fundamental biological processes. Experimental determination of their structure is difficult due to their peculiar property of being stable in a complex environment consisting of separate hydrophilic and hydrophobic phases. Computational tools are then necessary to fill the gap between the knowledge of protein sequence and the characterization of its role in the context of biological complexity.

Pier Luigi Martelli, C.S. (2018). Transmembrane Domain Prediction. Oxford : Academic Press [https://doi.org/10.1016/B978-0-12-809633-8.20269-0].

Transmembrane Domain Prediction

Pier Luigi Martelli;Castrense Savojardo;Giuseppe Profiti;Rita Casadio
2018

Abstract

Transmembrane proteins constitute some 20%–30% of proteins of all prokaryotic and eukaryotic organisms and are involved in fundamental biological processes. Experimental determination of their structure is difficult due to their peculiar property of being stable in a complex environment consisting of separate hydrophilic and hydrophobic phases. Computational tools are then necessary to fill the gap between the knowledge of protein sequence and the characterization of its role in the context of biological complexity.
2018
Encyclopedia of Bioinformatics and Computational Biology
46
52
Pier Luigi Martelli, C.S. (2018). Transmembrane Domain Prediction. Oxford : Academic Press [https://doi.org/10.1016/B978-0-12-809633-8.20269-0].
Pier Luigi Martelli, Castrense Savojardo, Giuseppe Profiti, Rita Casadio
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/654558
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