Search Results - "Shen, Bin"

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks by Pan, Xiaoyong, Rijnbeek, Peter, Yan, Junchi, Shen, Hong-Bin

“…RNA regulation is significantly dependent on its binding protein partner, known as the RNA-binding proteins (RBPs). Unfortunately, the binding preferences for…”
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Predicting RNA–protein binding sites and motifs through combining local and global deep convolutional neural networks by Pan, Xiaoyong, Shen, Hong-Bin

“…Abstract Motivation RNA-binding proteins (RBPs) take over 5–10% of the eukaryotic proteome and play key roles in many biological processes, e.g. gene…”
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RNA-protein binding motifs mining with a new hybrid deep learning based cross-domain knowledge integration approach by Pan, Xiaoyong, Shen, Hong-Bin

“…RNAs play key roles in cells through the interactions with proteins known as the RNA-binding proteins (RBP) and their binding motifs enable crucial…”
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Plant-mPLoc: A Top-Down Strategy to Augment the Power for Predicting Plant Protein Subcellular Localization by Chou, Kuo-Chen, Shen, Hong-Bin

“…One of the fundamental goals in proteomics and cell biology is to identify the functions of proteins in various cellular organelles and pathways. Information…”
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Predicting gene regulatory interactions based on spatial gene expression data and deep learning by Yang, Yang, Fang, Qingwei, Shen, Hong-Bin

“…Reverse engineering of gene regulatory networks (GRNs) is a central task in systems biology. Most of the existing methods for GRN inference rely on gene…”
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RBPsuite: RNA-protein binding sites prediction suite based on deep learning by Pan, Xiaoyong, Fang, Yi, Li, Xianfeng, Yang, Yang, Shen, Hong-Bin

“…RNA-binding proteins (RBPs) play crucial roles in various biological processes. Deep learning-based methods have been demonstrated powerful on predicting RBP…”
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A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations by Qiu, Jianyin, Shen, Bin, Zhao, Min, Wang, Zhen, Xie, Bin, Xu, Yifeng

“…The Coronavirus Disease 2019 (COVID-19) epidemic emerged in Wuhan, China, spread nationwide and then onto half a dozen other countries between December 2019…”
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lncLocator 2.0: a cell-line-specific subcellular localization predictor for long non-coding RNAs with interpretable deep learning by Lin, Yang, Pan, Xiaoyong, Shen, Hong-Bin

“…Abstract Motivation Long non-coding RNAs (lncRNAs) are generally expressed in a tissue-specific way, and subcellular localizations of lncRNAs depend on the…”
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A new method for predicting the subcellular localization of eukaryotic proteins with both single and multiple sites: Euk-mPLoc 2.0 by Chou, Kuo-Chen, Shen, Hong-Bin

“…Information of subcellular locations of proteins is important for in-depth studies of cell biology. It is very useful for proteomics, system biology and drug…”
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Elimination of light chain tailing in reducing capillary electrophoresis with sodium dodecyl sulfate analysis of a monoclonal antibody by Wang, Si‐Tao, Gao, Han, Shen, Bin‐Bin, Wang, Haibin, Fang, Wei‐Jie

“…Capillary electrophoresis with sodium dodecyl sulfate (CE‐SDS) is a common analytical technique for investigating the purity and molecular size heterogeneity…”
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Microcellular graphene foam for improved broadband electromagnetic interference shielding by Shen, Bin, Li, Yang, Yi, Da, Zhai, Wentao, Wei, Xingchang, Zheng, Wenge

“…As reported, the foaming of layered graphene films into porous graphene foams could improve their performance for absorbents, catalysis and supercapacitors…”
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sgRNAcas9: a software package for designing CRISPR sgRNA and evaluating potential off-target cleavage sites by Xie, Shengsong, Shen, Bin, Zhang, Chaobao, Huang, Xingxu, Zhang, Yonglian

“…Although the CRISPR/Cas9/sgRNA system efficiently cleaves intracellular DNA at desired target sites, major concerns remain on potential "off-target" cleavage…”
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Efficient Fe(III)/Fe(II) cycling triggered by MoO2 in Fenton reaction for the degradation of dye molecules and the reduction of Cr(VI) by Shen, Bin, Dong, Chencheng, Ji, Jiahui, Xing, Mingyang, Zhang, Jinlong

“…In this work, we develop an inorganic cocatalyst of commercial MoO2 application in Fenton reaction, which can significantly enhance the Fe(III)/Fe(II) cycling…”
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Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms by Chou, Kuo-Chen, Shen, Hong-Bin

“…Information on subcellular localization of proteins is important to molecular cell biology, proteomics, system biology and drug discovery. To provide the vast…”
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Service supply chain management: A review of operational models by Wang, Yulan, Wallace, Stein W., Shen, Bin, Choi, Tsan-Ming

“…•We review operational models in service supply chain management (SSCM).•We examine and discuss the definitions of SSCM.•We classify the literature into three…”
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Facile Preparation of Lightweight Microcellular Polyetherimide/Graphene Composite Foams for Electromagnetic Interference Shielding by Ling, Jianqiang, Zhai, Wentao, Feng, Weiwei, Shen, Bin, Zhang, Jianfeng, Zheng, Wen ge

“…We report a facile approach to produce lightweight microcellular polyetherimide (PEI)/graphene nanocomposite foams with a density of about 0.3 g/cm3 by a phase…”
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The influence of gradient and sandwich configurations on the electromagnetic interference shielding performance of multilayered thermoplastic polyurethane/graphene composite foams by Li, Yang, Shen, Bin, Yi, Da, Zhang, Lihua, Zhai, Wentao, Wei, Xingchang, Zheng, Wenge

“…Multilayered thermoplastic polyurethane/graphene (PUG) composites were fabricated by stacking single-layered PUG foams together. The arrangement of…”
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BindWeb: A web server for ligand binding residue and pocket prediction from protein structures by Xia, Ying, Xia, Chunqiu, Pan, Xiaoyong, Shen, Hong‐Bin

“…Knowledge of protein–ligand interactions is beneficial for biological process analysis and drug design. Given the complexity of the interactions and the…”
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Recent progress in protein subcellular location prediction by Chou, Kuo-Chen, Shen, Hong-Bin

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Short-Term Traffic Prediction Based on Dynamic Tensor Completion by Huachun Tan, Yuankai Wu, Bin Shen, Jin, Peter J., Bin Ran

“…Short-term traffic prediction plays a critical role in many important applications of intelligent transportation systems such as traffic congestion control and…”
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