SymProFold - Structural prediction of symmetrical biological assemblies-Reference-Cited by-同舟云学术

SymProFold - Structural prediction of symmetrical biological assemblies

Published:2024-01-03 Issue: Volume: Page:
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Author:

Buhlheller Christoph¹^ORCID,Sagmeister Theo¹^ORCID,Grininger Christoph¹^ORCID,Gubensäk Nina¹^ORCID,Sleytr Uwe B.²,Usón Isabel³^ORCID,Pavkov-Keller Tea¹^ORCID

Affiliation:

1. Institute of Molecular Biosciences, University of Graz, Graz, Austria

2. Institute of Synthetic Bioarchitectures, University of Natural Resources and Life Sciences Vienna, Vienna, Austria

3. Structural Biology Unit, Institute of Molecular Biology of Barcelona (IBMB-CSIC), Barcelona Spain

Abstract

Abstract Symmetry in nature often arises from self-assembly processes and serves a function. Our automated pipeline SymProFold leverages the high accuracy of the AlphaFold-Multimer predictions to derive symmetrical assemblies like two-dimensional S-layer arrays or spherical viral capsids from their protein sequence, verified with available experimental data on the cellular level. S-layers, found on many bacterial and archaeal cells, are vital for facilitating cell adhesion, evading the immune system, and providing protection against stress. However, their experimental structural characterization remains challenging because of their self-assembly property and high sequence variability. SymProFold now offers new avenues for exploring functionalities and designing targeted applications in diverse fields like nanotechnology, biotechnology, medicine, and material and environmental sciences.

Publisher

Research Square Platform LLC

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