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Main Authors: Preoteasa, Andrei, Grigorjew, Andreas, Tomescu, Alexandru I., Drost, Hajk-Georg
Format: Preprint
Published: 2026
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Online Access:https://arxiv.org/abs/2602.12730
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author Preoteasa, Andrei
Grigorjew, Andreas
Tomescu, Alexandru I.
Drost, Hajk-Georg
author_facet Preoteasa, Andrei
Grigorjew, Andreas
Tomescu, Alexandru I.
Drost, Hajk-Georg
contents Life over the past four billion years has been shaped by proteins and their capacity to assemble into three dimensional conformations. Protein sequence alignments have been the enabling technology for exploring the evolution and functional adaptation of proteins across the tree of life. Recent advancements in scaling the prediction of three dimensional protein structures from primary sequence alone, revealed that different modes of conservation and function operate on the sequence and structure level. This difference in protein conservation patterns and their underlying functional change that could emerge in suboptimal alignment configurations is often ignored in optimal protein alignment approaches. We introduce EMERALD-UI, an open-source interactive web application which is designed to reveal unexplored biology by visualising stable structural conformations or protein regions hidden in the suboptimal alignment space. Availability: EMERALD-UI is available at https://algbio.github.io/emerald-ui/. Contact: hdrost001@dundee.ac.uk or alexandru.tomescu@helsinki.fi.
format Preprint
id arxiv_https___arxiv_org_abs_2602_12730
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle EMERALD-UI: An interactive web application to unveil novel protein biology hidden in the suboptimal-alignment space
Preoteasa, Andrei
Grigorjew, Andreas
Tomescu, Alexandru I.
Drost, Hajk-Georg
Quantitative Methods
Life over the past four billion years has been shaped by proteins and their capacity to assemble into three dimensional conformations. Protein sequence alignments have been the enabling technology for exploring the evolution and functional adaptation of proteins across the tree of life. Recent advancements in scaling the prediction of three dimensional protein structures from primary sequence alone, revealed that different modes of conservation and function operate on the sequence and structure level. This difference in protein conservation patterns and their underlying functional change that could emerge in suboptimal alignment configurations is often ignored in optimal protein alignment approaches. We introduce EMERALD-UI, an open-source interactive web application which is designed to reveal unexplored biology by visualising stable structural conformations or protein regions hidden in the suboptimal alignment space. Availability: EMERALD-UI is available at https://algbio.github.io/emerald-ui/. Contact: hdrost001@dundee.ac.uk or alexandru.tomescu@helsinki.fi.
title EMERALD-UI: An interactive web application to unveil novel protein biology hidden in the suboptimal-alignment space
topic Quantitative Methods
url https://arxiv.org/abs/2602.12730