Multiple Protein Subcellular Locations Prediction Based on Deep Convolutional Neural Networks with Self-Attention Mechanism.
Sign Up to like & getrecommendations! Published in 2022 at "Interdisciplinary sciences, computational life sciences"
DOI: 10.1007/s12539-021-00496-7
Abstract: As an important research field in bioinformatics, protein subcellular location prediction is critical to reveal the protein functions and provide insightful information for disease diagnosis and drug development. Predicting protein subcellular locations remains a challenging… read more here.
Keywords: deep convolutional; protein subcellular; neural networks; prediction ... See more keywords
An insightful recollection for predicting protein subcellular locations in multi-label systems.
Sign Up to like & getrecommendations! Published in 2019 at "Genomics"
DOI: 10.1016/j.ygeno.2019.08.008
Abstract: A systematic introduction has been presented for the recent advances in predicting protein subcellular localization in the multi-label systems, where the constituent proteins may simultaneously occur or move between two or more location sites and… read more here.
Keywords: predicting protein; recollection predicting; multi label; label systems ... See more keywords
Identifying protein subcellular localisation in scientific literature using bidirectional deep recurrent neural network
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-020-80441-8
Abstract: The increased diversity and scale of published biological data has to led to a growing appreciation for the applications of machine learning and statistical methodologies to gain new insights. Key to achieving this aim is… read more here.
Keywords: subcellular localisation; neural network; protein subcellular;
Preprint Highlight: Self-supervised deep learning encodes high-resolution features of protein subcellular localization.
Sign Up to like & getrecommendations! Published in 2022 at "Molecular biology of the cell"
DOI: 10.1091/mbc.p22-04-1007
Abstract: The ability to quantitatively characterize protein subcellular spatial organization is key for understanding how cells orchestrate their many functions. This study presents cytoself, a deep‐learning self‐supervised method to compute lower dimensional representations of protein spatial… read more here.
Keywords: highlight self; localization; preprint highlight; protein subcellular ... See more keywords
Learning protein subcellular localization multi-view patterns from heterogeneous data of imaging, sequence and networks
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DOI: 10.1093/bib/bbab539
Abstract: Location proteomics seeks to provide automated high-resolution descriptions of protein location patterns within cells. Many efforts have been undertaken in location proteomics over the past decades, thereby producing plenty of automated predictors for protein subcellular… read more here.
Keywords: protein subcellular; subcellular localization; location; multi view ... See more keywords
Deep generative model for protein subcellular localization prediction
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DOI: 10.1093/bib/bbaf152
Abstract: Protein sequence determines not only its structure but also its subcellular localization. Although a series of artificial intelligence models have been reported to predict protein subcellular localization, most of them provide only textual outputs. Here,… read more here.
Keywords: localization prediction; subcellular localization; protein subcellular; localization ... See more keywords
Knowledge-enhanced protein subcellular localization prediction from 3D fluorescence microscope images
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DOI: 10.1093/bioinformatics/btaf331
Abstract: Abstract Motivation Pinpointing the subcellular location of proteins is essential for studying protein function and related diseases. Advances in spatial proteomics have shown that automatic recognition of protein subcellular localization from images could highly facilitate… read more here.
Keywords: subcellular localization; protein subcellular; knowledge enhanced;
DeepLoc: prediction of protein subcellular localization using deep learning
Sign Up to like & getrecommendations! Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btx548
Abstract: (24/10/2018) DeepLoc: prediction of protein subcellular localization using deep learning The prediction of eukaryotic protein subcellular localization is a well-studied topic in bioinformatics due to its relevance in proteomics research. Many machine learning methods have… read more here.
Keywords: using deep; localization; subcellular localization; protein subcellular ... See more keywords
Protein subcellular localization and functional studies in horticultural research: problems, solutions, and new approaches
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DOI: 10.1093/hr/uhac271
Abstract: © The Author(s) 2023. Published by Oxford University Press on behalf of Nanjing Agricultural University. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted… read more here.
Keywords: subcellular localization; protein subcellular; horticulture; localization functional ... See more keywords
MIC_Locator: a novel image-based protein subcellular location multi-label prediction model based on multi-scale monogenic signal representation and intensity encoding strategy
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DOI: 10.1186/s12859-019-3136-3
Abstract: BackgroundProtein subcellular localization plays a crucial role in understanding cell function. Proteins need to be in the right place at the right time, and combine with the corresponding molecules to fulfill their functions. Furthermore, prediction… read more here.
Keywords: label; mic locator; prediction model; protein subcellular ... See more keywords
IDRnet: a Novel Pixel-Enlightened Neural Network for Predicting Protein Subcellular Location Based on Interactive Pointwise Attention
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DOI: 10.2174/1574893618666230525124954
Abstract: Understanding the subcellular location of proteins is essential for studying molecular and protein functions. Intracellular proteins must interact with appropriate molecules at the right time and in the right subcellular location to fulfill their functions.… read more here.
Keywords: pixel enlightened; subcellular location; pointwise; protein subcellular ... See more keywords