A5101563333- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Molecular Biology Techniques and Applications
- Stellar, planetary, and galactic studies
- DNA and Nucleic Acid Chemistry
- Astronomy and Astrophysical Research
- RNA modifications and cancer
- Text and Document Classification Technologies
- Orbital Angular Momentum in Optics
- Advanced biosensing and bioanalysis techniques
- Computational Drug Discovery Methods
- Astronomical Observations and Instrumentation
- Cancer Genomics and Diagnostics
- Environmental DNA in Biodiversity Studies
- Protein Structure and Dynamics
- Optical Coherence Tomography Applications
- Advanced Computational Techniques and Applications
- Chalcogenide Semiconductor Thin Films
- Peptidase Inhibition and Analysis
- Advanced Condensed Matter Physics
- Machine Learning in Bioinformatics
- Mast cells and histamine
- Galaxies: Formation, Evolution, Phenomena
- Microfluidic and Bio-sensing Technologies
- Electronic and Structural Properties of Oxides
Jiangsu University of Technology
2018-2024
Defence Electronics Research Laboratory
2023
Tianjin University of Technology
2019
University of Missouri
2017
Baylor Scott & White Health
2016
Chinese Academy of Sciences
2013-2014
National Astronomical Observatories
2013-2014
North Dakota State University
2010
Dana-Farber Cancer Institute
2004-2007
Harvard University
2006
Protein–protein docking technology is an effective approach to study the molecular mechanism of essential biological processes mediated by complex protein–protein interactions. The fast Fourier transform (FFT) correlation makes a good balance between exhaustive global sampling and computational efficiency for docking. However, it difficult integrate precise knowledge-based scoring function site constraint information into FFT-based approach. New strategies with capability combining both are...
The LAMOST spectral analysis pipeline, called the 1D aims to classify and measure spectra observed in survey. Through this stellar are classified into different subclasses by matching with template spectra. Consequently, performance of classification greatly depends on quality In paper, we construct a new library, which is supposed improve precision credibility present classification. About one million selected from Data Release One templates, they gathered 233 groups two criteria: (1)...
Circular RNAs (circRNAs) are a novel class of non-coding RNA that, unlike linear RNAs, form covalently closed loop without the 5' and 3' ends. Growing evidence shows that circular play important roles in life processes have great potential implications clinical research fields. The accurate modeling circRNAs structure stability has far-reaching impact on our understanding their functions ability to develop RNA-based therapeutics. cRNAsp12 server offers user-friendly web interface predict...
Nucleic acid amplification plays an increasingly important role in genetic analysis of clinical samples, medical diagnostics, and drug discovery. We present a novel quantitative PCR technology that combines the advantages existing methods allows versatile flexible nucleic target quantification samples widely different origin quality.We modified one 2 primers by use oligonucleotide "tail" fluorescently labeled at 5' end. An complementary to this tail, carrying 3' quenching molecule...
BACKGROUND: Protein-ligand binding affinity is of significant importance in structure-based drug design. Recently, the development machine learning techniques has provided an efficient and accurate way to predict affinity. However, prediction performance largely depends on how molecules are represented. OBJECTIVE: Different molecular descriptors designed capture different features. The study aims identify optimal circular fingerprints for predicting protein-ligand with matched neural network...
Genotyping methods that reveal single-nucleotide differences are useful for a wide range of applications. We used digestion 3-way DNA junctions in novel technology, OneCutEventAmplificatioN (OCEAN) allows sequence-specific signal generation and amplification. combined OCEAN with peptide-nucleic-acid (PNA)-based variant enrichment to detect simultaneously genotype v-Ki-ras2 Kirsten rat sarcoma viral oncogene homolog (KRAS) codon 12 sequence variants human tissue specimens.We analyzed KRAS 106...
Abstract There are three data pipelines for LAMOST survey. The raw is reduced to one dimension spectra by the reduction pipeline(2D pipeline), extracted classified and measured spectral analysis pipeline(1D while stellar parameters LASP pipeline. ( a ) main tasks of pipeline include bias calibration, flat field, extraction, sky subtraction, wavelength exposure merging band connection. b This designed classify identify objects from measure their redshift (or radial velocity). PCAZ (Glazebrook...
This paper proposes an improved kNN text classification method. The algorithm in vector space models (VSM) has several limitations, such as occupying excessive storage and all dimensions the share same weight, making inaccurate. To solve these problems, this a SOM neural network with principal component weighting. In model, analysis process is embedded into network. Specifically, used to extract main feature components of assessed target. Then, it inputted for computation. Meanwhile,...
In general, hydrostatic pressure can suppress ferroelectric polarization and further reduce Rashba spin-splitting, considering the spin-orbit coupling effect. Here, we present design of double perovskite Cs2SnSiI6, which exhibits anomalous enhancement spin-splitting parameters by pressure-induced topological order. The effect is nonlinear with decrease in under reaches a maximum at Weyl semimetal (WSM) state between transition from normal insulator (NI) to (TI). Furthermore, discover that...
RNA is a versatile macromolecule with the ability to fold into and interconvert between multiple functional conformations. The elucidation of folding landscape, especially knowledge alternative structures, critical uncover physical mechanism functions. Here, we introduce helix-based strategy for landscape partition secondary structure determination. benchmark test 27 RNAs involving stable structures shows that model has divide whole distinct partitions at level predict representative each...
Abstract Medulloblastoma (MB) is the most common brain tumor in children and often spread to spinal cord though cerebrospinal fluid. Understanding biological mechanism of this disease would provide a better care for these patients. Recently, overexpression platelet derived growth factor receptor (PDGFR) alpha beta has been linked metastatic stage disease. To comprehensively analyze functions PDGFRs find their potential downstream targets MB, we utilized Daoy cells, MB cell line, as model...
Abstract Glioblastoma (GBM) is a common and very aggressive primary brain tumor with no cure. The current diagnosis relying on magnetic resonance imagining, computed tomography, biopsy expensive process. More effective therapeutic strategies such as target therapies simplified early tools are urgently needed for GBM management prognosis. As recent reports suggest that expresses CD44, type-I transmembrane glycoprotein, marker of cancer stem cell therapy resistance, goal identifying prognosis...
Abstract We select super high quality spectra of spectral type A, F, G, K, M stars from SDSS C DR7. mix our with noise and then measure their radial velocity. The analysis shows that the accuracy is much better than F stars. With relationship between signal-to-noise velocity measurement different type, we provide a good reference for stellar study related to
We studied Wigner distribution function for finite-energy Airy beam in theory and experiment, proposed that with a large truncating factor, can be simplified optical imaging based on phase-space method.