Search Results - "Cheung, Ngaam J."

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  1. 1

    De novo protein structure prediction using ultra-fast molecular dynamics simulation by Cheung, Ngaam J, Yu, Wookyung

    Published in PloS one (20-11-2018)
    “…Modern genomics sequencing techniques have provided a massive amount of protein sequences, but experimental endeavor in determining protein structures is…”
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    Journal Article
  2. 2

    Sibe: a computation tool to apply protein sequence statistics to predict folding and design in silico by Cheung, Ngaam J, Yu, Wookyung

    Published in BMC bioinformatics (06-09-2019)
    “…Evolutionary information contained in the amino acid sequences of proteins specifies the biological function and fold, but exactly what information contained…”
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  3. 3

    Adaptive firefly algorithm: parameter analysis and its application by Cheung, Ngaam J, Ding, Xue-Ming, Shen, Hong-Bin

    Published in PloS one (01-11-2014)
    “…As a nature-inspired search algorithm, firefly algorithm (FA) has several control parameters, which may have great effects on its performance. In this study,…”
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  4. 4

    Accurate prediction of protein torsion angles using evolutionary signatures and recurrent neural network by Xu, Yong-Chang, ShangGuan, Tian-Jun, Ding, Xue-Ming, Cheung, Ngaam J.

    Published in Scientific reports (26-10-2021)
    “…The amino acid sequence of a protein contains all the necessary information to specify its shape, which dictates its biological activities. However, it is…”
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  5. 5

    Leri: A web-server for identifying protein functional networks from evolutionary couplings by Cheung, Ngaam J., John Peter, Arun T., Kornmann, Benoit

    “…[Display omitted] •Identify the evolutionary signatures (termed “residue communities”) from protein sequences.•The identified residue communities specify the…”
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  6. 6

    Csf1: A Putative Lipid Transport Protein Required for Homeoviscous Adaptation of the Lipidome by John Peter, Arun T., Cheung, Ngaam J., Kornmann, Benoît

    Published in Contact (01-01-2022)
    “…The non-vesicular transport of lipids between organelles mediated by lipid transport proteins (LTPs) is a key determinant of organelle biogenesis and function…”
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  7. 7

    OptiFel: A Convergent Heterogeneous Particle Swarm Optimization Algorithm for Takagi-Sugeno Fuzzy Modeling by Cheung, Ngaam J., Ding, Xue-Ming, Shen, Hong-Bin

    Published in IEEE transactions on fuzzy systems (01-08-2014)
    “…Data-driven design of accurate and reliable Takagi-Sugeno (T-S) fuzzy systems has attracted a lot of attention, where the model structures and parameters are…”
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  8. 8

    Parameter estimation of Takagi–Sugeno fuzzy system using heterogeneous cuckoo search algorithm by Ding, Xueming, Xu, Zhenkai, Cheung, Ngaam J., Liu, Xiaohui

    Published in Neurocomputing (Amsterdam) (03-03-2015)
    “…In this paper, a novel method, called intelligent Takagi–Sugeno Modeling (iTaSuM), for identifying the structure and parameters of T–S fuzzy system is…”
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  9. 9

    Rewiring phospholipid biosynthesis reveals resilience to membrane perturbations and uncovers regulators of lipid homeostasis by John Peter, Arun T, van Schie, Sabine N S, Cheung, Ngaam J, Michel, Agnès H, Peter, Matthias, Kornmann, Benoît

    Published in The EMBO journal (04-04-2022)
    “…The organelles of eukaryotic cells differ in their membrane lipid composition. This heterogeneity is achieved by the localization of lipid synthesizing and…”
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  10. 10

    A Nonhomogeneous Cuckoo Search Algorithm Based on Quantum Mechanism for Real Parameter Optimization by Cheung, Ngaam J., Xue-Ming Ding, Hong-Bin Shen

    Published in IEEE transactions on cybernetics (01-02-2017)
    “…Cuckoo search (CS) algorithm is a nature-inspired search algorithm, in which all the individuals have identical search behaviors. However, this simple…”
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  11. 11

    Shared structural features of Miro binding control mitochondrial homeostasis by Covill-Cooke, Christian, Kwizera, Brian, López-Doménech, Guillermo, Thompson, Caleb OD, Cheung, Ngaam J, Cerezo, Ema, Peterka, Martin, Kittler, Josef T, Kornmann, Benoît

    Published in The EMBO journal (15-02-2024)
    “…Miro proteins are universally conserved mitochondrial calcium-binding GTPases that regulate a multitude of mitochondrial processes, including transport,…”
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  12. 12

    Protein folds recognized by an intelligent predictor based-on evolutionary and structural information by Cheung, Ngaam J., Ding, Xue-Ming, Shen, Hong-Bin

    Published in Journal of computational chemistry (05-02-2016)
    “…Protein fold recognition is an important and essential step in determining tertiary structure of a protein in biological science. In this study, a model termed…”
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  13. 13

    A Non-homogeneous Firefly Algorithm and Its Convergence Analysis by Cheung, Ngaam J., Ding, Xue-Ming, Shen, Hong-Bin

    “…The firefly algorithm is a swarm-based search algorithm, in which fireflies cooperate with each other to look for the optimal solution to a given optimization…”
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  14. 14

    Modeling nonlinear dynamic biological systems with human-readable fuzzy rules optimized by convergent heterogeneous particle swarm by Cheung, Ngaam J., Xu, Zhen-Kai, Ding, Xue-Ming, Shen, Hong-Bin

    Published in European journal of operational research (01-12-2015)
    “…•Human-readable rules based modeling is proposed for biological systems.•The fuzzy model (MoPath) is embedded in optimization framework.•Particle swarm…”
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  15. 15

    Hierarchical particle swarm optimizer for minimizing the non-convex potential energy of molecular structure by Cheung, Ngaam J., Shen, Hong-Bin

    Published in Journal of molecular graphics & modelling (01-11-2014)
    “…•Hierarchical heterogeneous PSO is to find the minimal energy of the 3D structure.•Hierarchical groups are to accomplish different tasks using heterogeneous…”
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  16. 16

    A supervised particle swarm algorithm for real-parameter optimization by Cheung, Ngaam J., Ding, Xue-Ming, Shen, Hong-Bin

    “…Particle swarm optimization (PSO) is a heuristics method based on a homogeneous population with identical search behavior. The simple homogeneous search is not…”
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