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Vector-clustering Multiple Sequence Alignment: Aligning into the twilight zone of protein sequence similarity with protein language models

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.21.513099Source: DataRank Database

Vector-clustering Multiple Sequence Alignment: Aligning into the twilight zone of protein sequence similarity with protein language models is a research paper published in bioRxiv (Cold Spring Harbor Laboratory) (2022). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:OA: greenTopics (23)IDs (PubMed, OpenAlex)

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Open Access

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Reusable (0/3)

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Authors (2)

Mona Singh ORCID,Claire D. McWhite ORCID

Live enrichment

PubMed:30945415 OpenAlex:https://openalex.org/W4307258884

greenLicense: cc-by

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/04/18/2022.10.21.513099.full.pdf

GREENhttps://www.biorxiv.org/content/biorxiv/early/2023/04/18/2022.10.21.513099.full.pdf

repositoryhttps://www.biorxiv.org/content/biorxiv/early/2023/04/18/2022.10.21.513099.full.pdf

publisherhttps://syndication.highwire.org/content/doi/10.1101/2022.10.21.513099

repositoryhttps://doi.org/10.1101/2022.10.21.513099

Fields of Study

Machine Learning in BioinformaticsGenomics and Phylogenetic StudiesProtein Structure and DynamicsBiologyComputer Science

Keywords

Structural alignmentMultiple sequence alignmentComputer scienceCluster analysisSequence alignmentPairwise comparisonAlignment-free sequence analysisSequence (biology)Leverage (statistics)Similarity (geometry)Protein sequencingSmith–Waterman algorithmComputational biologyPeptide sequenceArtificial intelligenceData miningBiologyGenetics