Tongchuan Zhang

ORCID: 0000-0001-8307-8708
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About
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Research Areas
  • RNA and protein synthesis mechanisms
  • RNA modifications and cancer
  • Biochemical and Structural Characterization
  • Machine Learning in Bioinformatics
  • RNA Research and Splicing
  • Genomics and Phylogenetic Studies
  • Advanced battery technologies research
  • Chemical Synthesis and Analysis
  • Supercapacitor Materials and Fabrication
  • Glycosylation and Glycoproteins Research
  • Biomedical Text Mining and Ontologies
  • Protein Structure and Dynamics
  • Conducting polymers and applications
  • Advanced Text Analysis Techniques
  • Metabolism and Genetic Disorders
  • Cancer, Hypoxia, and Metabolism
  • Magnetic confinement fusion research
  • Advancements in Battery Materials
  • Topic Modeling
  • Biochemical and Molecular Research
  • Laser-Plasma Interactions and Diagnostics
  • Electrocatalysts for Energy Conversion
  • CO2 Reduction Techniques and Catalysts
  • Ionosphere and magnetosphere dynamics

Qilu University of Technology
2021-2023

Shandong Academy of Sciences
2021-2023

Southwestern Institute of Physics
2023

Griffith University
2018-2021

University of Science and Technology of China
2014-2016

Abstract Motivation The recent discovery of numerous non-coding RNAs (long RNAs, in particular) has transformed our perception about the roles living organisms. Our ability to understand them, however, is hampered by inability solve their secondary and tertiary structures high resolution efficiently existing experimental techniques. Computational prediction RNA structure, on other hand, received much-needed improvement, recently, through deep learning a large approximate data, followed...

10.1093/bioinformatics/btab165 article EN Bioinformatics 2021-03-08

The accuracy of RNA secondary and tertiary structure prediction can be significantly improved by using structural restraints derived from evolutionary coupling or direct analysis. Currently, these analyses relied on manually curated multiple sequence alignments collected in the Rfam database, which contains 3016 families. By comparison, millions non-coding sequences are known. Here, we established RNAcmap, a fully automatic pipeline that enables analysis for any sequences. homology search...

10.1093/bioinformatics/btab391 article EN Bioinformatics 2021-05-18

Abstract Despite the large number of noncoding RNAs in human genome and their roles many diseases include cancer, we know very little about them due to lack structural clues. The centerpiece clues is full RNA base-pairing structure secondary tertiary contacts that can be precisely obtained only from costly time-consuming 3D determination. Here, performed deep mutational scanning self-cleaving CPEB3 ribozyme by error-prone PCR showed a library <5 × 104 single-to-triple mutants...

10.1093/nar/gkz1192 article EN cc-by Nucleic Acids Research 2019-12-12

Noncoding RNAs are increasingly found to play a wide variety of roles in living organisms. Yet, their functional mechanisms poorly understood because structures difficult determine experimentally. As result, developing more effective computational techniques predict RNA becomes an urgent task. One key challenge structure prediction is the lack accurate free energy function guide folding and discriminate native near-native from decoy conformations. In this study, we developed all-atom...

10.1089/cmb.2019.0251 article EN Journal of Computational Biology 2019-10-22

Abstract A vertical edge Thomson scattering (ETS) diagnostic system on HL-2M tokamak has been designed. The ETS collects the scattered light from Nd:YAG laser (1064 nm, 2 J, 30 Hz, 15 ns). beam propagates vertically through plasma region and polarization is parallel to toroidal magnetic field. special designed Galileo-type telescope with long Rayleigh length applied focus size ensure collimation. group of double-Gaussian collection lenses image 600 mm onto rectangular fiber arrays a spatial...

10.1088/2058-6272/acbd8d article EN Plasma Science and Technology 2023-02-20

Abstract Motivation The accuracy of RNA secondary and tertiary structure prediction can be significantly improved by using structural restraints derived from evolutionary or direct coupling analysis. Currently, these analyses relied on manually curated multiple sequence alignments collected in the Rfam database, which contains 3016 families. By comparison, millions non-coding sequences are known. Here, we established RNAcmap, a fully automatic method that enables analysis for any sequences....

10.1101/2020.08.08.242636 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2020-08-10

ABSTRACT Despite the transcription of noncoding RNAs in 75% human genome and their roles many diseases include cancer, we know very little about them due to lack structural clues. The centerpiece clues is full RNA base-pairing structure secondary tertiary contacts that can be precisely obtained only from costly inefficient 3D determination. Here, performed deep mutational scanning self-cleaving CPEB3 ribozyme by error-prone PCR showed a library <5×10 4 single-to-triple mutants sufficient...

10.1101/677310 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2019-06-21
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