Evidence map›Paper›PMID 33930031›Full record

ArticlePloS one2021

Refining pairwise sequence alignments of membrane proteins by the incorporation of anchors.

René Staritzbichler, Edoardo Sarti, Emily Yaklich, Antoniya Aleksandrova, Marcus Stamm, Kamil Khafizov, Lucy R Forrest

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Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

René StaritzbichlerProteinFormatics Group, Institute of Biophysics and Medical Physics, University of Leipzig, Leipzig, Germany.
Edoardo SartiComputational Structural Biology Section, National Institutes of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States of America.
Emily YaklichComputational Structural Biology Section, National Institutes of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States of America.
Antoniya AleksandrovaComputational Structural Biology Section, National Institutes of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States of America.
Marcus StammMax Planck Institute of Biophysics, Frankfurt am Main, Germany.
Kamil KhafizovMoscow Institute of Physics and Technology, National Research University, Moscow, Russia.
Lucy R ForrestComputational Structural Biology Section, National Institutes of Neurological Disorders and Stroke, National Institutes of Health, Bethesda, MD, United States of America.ORCID 0000-0003-1855-7985

Funding

Development and assessment of methods for studying membrane protein structure and functionZIANS003143 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI FORREST, LUCY · 2014 to 2025
$8.9M
6 · The paper itself

Abstract

The alignment of primary sequences is a fundamental step in the analysis of protein structure, function, and evolution, and in the generation of homology-based models. Integral membrane proteins pose a significant challenge for such sequence alignment approaches, because their evolutionary relationships can be very remote, and because a high content of hydrophobic amino acids reduces their complexity. Frequently, biochemical or biophysical data is available that informs the optimum alignment, for example, indicating specific positions that share common functional or structural roles. Currently, if those positions are not correctly matched by a standard pairwise sequence alignment procedure, the incorporation of such information into the alignment is typically addressed in an ad hoc manner, with manual adjustments. However, such modifications are problematic because they reduce the robustness and reproducibility of the aligned regions either side of the newly matched positions. Previous studies have introduced restraints as a means to impose the matching of positions during sequence alignments, originally in the context of genome assembly. Here we introduce position restraints, or "anchors" as a feature in our alignment tool AlignMe, providing an aid to pairwise global sequence alignment of alpha-helical membrane proteins. Applying this approach to realistic scenarios involving distantly-related and low complexity sequences, we illustrate how the addition of anchors can be used to modify alignments, while still maintaining the reproducibility and rigor of the rest of the alignment. Anchored alignments can be generated using the online version of AlignMe available at www.bioinfo.mpg.de/AlignMe/.

Indexed as

AlgorithmsAmino Acid SequenceAnimalsDrosophilaHumansHydrophobic and Hydrophilic InteractionsMembrane ProteinsMiceReproducibility of ResultsSequence AlignmentSequence Analysis, ProteinSequence Homology, Amino AcidSoftwareMembrane Proteins

Identifiers

PMID33930031
PMCPMC8087094

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