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MemBlob database and server for identifying transmembrane regions using cryo-EM maps.
Farkas, Bianka; Csizmadia, Georgina; Katona, Eszter; Tusnády, Gábor E; Hegedus, Tamás.
Afiliación
  • Farkas B; Department of Biophysics and Radiation Biology, Semmelweis University, Budapest 1094, Hungary.
  • Csizmadia G; MTA-SE Molecular Biophysics Research Group, Hungarian Academy of Sciences, Budapest 1094, Hungary.
  • Katona E; Faculty of Information Technology and Bionics, Pázmány Péter Catholic University, Budapest 1083, Hungary.
  • Tusnády GE; Department of Biophysics and Radiation Biology, Semmelweis University, Budapest 1094, Hungary.
  • Hegedus T; MTA-SE Molecular Biophysics Research Group, Hungarian Academy of Sciences, Budapest 1094, Hungary.
Bioinformatics ; 36(8): 2595-2598, 2020 04 15.
Article en En | MEDLINE | ID: mdl-31290936
ABSTRACT

SUMMARY:

The identification of transmembrane helices in transmembrane proteins is crucial, not only to understand their mechanism of action but also to develop new therapies. While experimental data on the boundaries of membrane-embedded regions are sparse, this information is present in cryo-electron microscopy (cryo-EM) density maps and it has not been utilized yet for determining membrane regions. We developed a computational pipeline, where the inputs of a cryo-EM map, the corresponding atomistic structure, and the potential bilayer orientation determined by TMDET algorithm of a given protein result in an output defining the residues assigned to the bulk water phase, lipid interface and the lipid hydrophobic core. Based on this method, we built a database involving published cryo-EM protein structures and a server to be able to compute this data for newly obtained structures. AVAILABILITY AND IMPLEMENTATION http//memblob.hegelab.org. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Proteínas de la Membrana Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Hungria

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Algoritmos / Proteínas de la Membrana Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2020 Tipo del documento: Article País de afiliación: Hungria
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