bioRxiv (Cold Spring Harbor Laboratory) · 2022 · 1.5K citations · 12 references
Life SciencesBiochemistryBioinformaticsProteomicsStructural BioinformaticsStructural BiologyMembrane Protein TopologyMembrane ProteomicsProtein Sequence AnalysisProtein StructureProtein Structure ModelingStructural ProteomicsAccuracyLipid Bilayer MembranesMembrane Protein AnalysisMembrane Protein ModelingMembrane Protein Topology AnalysisTopology PredictionTransmembrane ProteinsTransmembrane Segment Prediction
Abstract Transmembrane proteins span the lipid bilayer and are divided into two major structural classes, namely alpha helical and beta barrels. We introduce DeepTMHMM, a deep learning protein language model-based algorithm that can detect and predict the topology of both alpha helical and beta barrels proteins with unprecedented accuracy. DeepTMHMM ( https://dtu.biolib.com/DeepTMHMM ) scales to proteomes and covers all domains of life, which makes it ideal for metagenomics analyses.
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