Search Results - "Zhou, Xiaogen"
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Protein Structure and Sequence Reanalysis of 2019-nCoV Genome Refutes Snakes as Its Intermediate Host and the Unique Similarity between Its Spike Protein Insertions and HIV‑1
Published in Journal of proteome research (03-04-2020)“…As the infection of 2019-nCoV coronavirus is quickly developing into a global pneumonia epidemic, the careful analysis of its transmission and cellular…”
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Assembling multidomain protein structures through analogous global structural alignments
Published in Proceedings of the National Academy of Sciences - PNAS (06-08-2019)“…Most proteins exist with multiple domains in cells for cooperative functionality. However, structural biology and protein folding methods are often optimized…”
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Protein structure prediction using deep learning distance and hydrogen‐bonding restraints in CASP14
Published in Proteins, structure, function, and bioinformatics (01-12-2021)“…In this article, we report 3D structure prediction results by two of our best server groups (“Zhang‐Server” and “QUARK”) in CASP14. These two servers were…”
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Deducing high-accuracy protein contact-maps from a triplet of coevolutionary matrices through deep residual convolutional networks
Published in PLoS computational biology (01-03-2021)“…The topology of protein folds can be specified by the inter-residue contact-maps and accurate contact-map prediction can help ab initio structure folding. We…”
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A widely conserved protein Rof inhibits transcription termination factor Rho and promotes Salmonella virulence program
Published in Nature communications (15-04-2024)“…Transcription is crucial for the expression of genetic information and its efficient and accurate termination is required for all living organisms…”
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Multi-domain and complex protein structure prediction using inter-domain interactions from deep learning
Published in Communications biology (01-12-2023)“…Accurately capturing domain-domain interactions is key to understanding protein function and designing structure-based drugs. Although AlphaFold2 has made a…”
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RTL8 promotes nuclear localization of UBQLN2 to subnuclear compartments associated with protein quality control
Published in Cellular and molecular life sciences : CMLS (01-03-2022)“…The brain-expressed ubiquilins (UBQLNs) 1, 2 and 4 are a family of ubiquitin adaptor proteins that participate broadly in protein quality control (PQC)…”
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Protein structure and folding pathway prediction based on remote homologs recognition using PAthreader
Published in Communications biology (04-03-2023)“…Recognition of remote homologous structures is a necessary module in AlphaFold2 and is also essential for the exploration of protein folding pathways. Here, we…”
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N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation
Published in Frontiers in neuroscience (01-09-2022)“…Medical image segmentation is an essential component of computer-aided diagnosis (CAD) systems. Thyroid nodule segmentation using ultrasound images is a…”
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Adaptive Differential Evolution With Information Entropy-Based Mutation Strategy
Published in IEEE access (2021)“…In order to balance the exploration and exploitation ability of differential evolution (DE), different mutation strategy for different evolutionary stages may…”
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White Blood Cell Segmentation via Sparsity and Geometry Constraints
Published in IEEE access (2019)“…Digital pathology and microscopic image analysis play an important role in cell morphology research. In particular, the effective segmentation of White Blood…”
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A Multi-Scale Densely Connected Convolutional Neural Network for Automated Thyroid Nodule Classification
Published in Frontiers in neuroscience (19-05-2022)“…Automated thyroid nodule classification in ultrasound images is an important way to detect thyroid nodules and to make a more accurate diagnosis. In this…”
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Corrigendum: N-Net: A novel dense fully convolutional neural network for thyroid nodule segmentation
Published in Frontiers in neuroscience (20-09-2022)Get full text
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I-TASSER-MTD: a deep-learning-based platform for multi-domain protein structure and function prediction
Published in Nature protocols (01-10-2022)“…Most proteins in cells are composed of multiple folding units (or domains) to perform complex functions in a cooperative manner. Relative to the rapid progress…”
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Saliency-CCE: Exploiting colour contextual extractor and saliency-based biomedical image segmentation
Published in Computers in biology and medicine (01-03-2023)“…Biomedical image segmentation is one critical component in computer-aided system diagnosis. However, various non-automatic segmentation methods are usually…”
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FUpred: detecting protein domains through deep-learning-based contact map prediction
Published in Bioinformatics (01-06-2020)“…Abstract Motivation Protein domains are subunits that can fold and function independently. Correct domain boundary assignment is thus a critical step toward…”
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LOMETS3: integrating deep learning and profile alignment for advanced protein template recognition and function annotation
Published in Nucleic acids research (05-07-2022)“…Abstract Deep learning techniques have significantly advanced the field of protein structure prediction. LOMETS3 (https://zhanglab.ccmb.med.umich.edu/LOMETS/)…”
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DEMO2: Assemble multi-domain protein structures by coupling analogous template alignments with deep-learning inter-domain restraint prediction
Published in Nucleic acids research (05-07-2022)“…Abstract Most proteins in nature contain multiple folding units (or domains). The revolutionary success of AlphaFold2 in single-domain structure prediction…”
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Multi contact-based folding method for de novo protein structure prediction
Published in Briefings in bioinformatics (17-01-2022)“…Abstract Meta contact, which combines different contact maps into one to improve contact prediction accuracy and effectively reduce the noise from a single…”
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Guiding exploration in conformational feature space with Lipschitz underestimation for ab-initio protein structure prediction
Published in Computational biology and chemistry (01-04-2018)“…[Display omitted] •A plug-in method for guiding exploring in conformational space with Lipschitz underestimation for PSP is proposed.•The constructed lower…”
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