首页|Analyzing structural features of proteins from deep‐sea organisms

Analyzing structural features of proteins from deep‐sea organisms

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Abstract Protein adaptations to extreme environmental conditions are drivers in biotechnological process optimization and essential to unravel the molecular limits of life. Most proteins with such desirable adaptations are found in extremophilic organisms inhabiting extreme environments. The deep sea is such an environment and a promising resource that poses multiple extremes on its inhabitants. Conditions like high hydrostatic pressure and high or low temperature are prevalent and many deep‐sea organisms tolerate multiple of these extremes. While molecular adaptations to high temperature are comparatively good described, adaptations to other extremes like high pressure are not well‐understood yet. To fully unravel the molecular mechanisms of individual adaptations it is probably necessary to disentangle multifactorial adaptations. In this study, we evaluate differences of protein structures from deep‐sea organisms and their respective related proteins from nondeep‐sea organisms. We created a data collection of 1281 experimental protein structures from 25 deep‐sea organisms and paired them with orthologous proteins. We exhaustively evaluate differences between the protein pairs with machine learning and Shapley values to determine characteristic differences in sequence and structure. The results show a reasonable discrimination of deep‐sea and nondeep‐sea proteins from which we distinguish correlations previously attributed to thermal stability from other signals potentially describing adaptions to high pressure. While some distinct correlations can be observed the overall picture appears intricate.

deep seamachine learningpiezophileprotein adaptationsprotein pressure adaptationsprotein stabilityprotein structureprotein thermal stabilityShapley valuesthermophile

Jochen Sieg、Julia Lieske、Alke Meents、Christian Lemmen、Wolfgang R. Streit、Matthias Rarey、Chris Claudius Sandmeier

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Universit?t Hamburg,ZBH ‐ Center for Bioinformatics

Deutsches Elektronen‐Synchrotron DESY,Center for Free‐Electron Laser Science

BioSolveIT GmbH

Universit?t Hamburg,Department of Microbiology and Biotechnology

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2022

Proteins

Proteins

ISSN:0887-3585
年,卷(期):2022.90(8)
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