Prediction of 3D Structure of RNA using mFold and RNAComposer

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  • Опубликовано: 11 сен 2024

Комментарии • 27

  • @metehanyaman6013
    @metehanyaman6013 4 года назад +2

    Thx for the video its useful and explanatory !!!

    • @AKBIT
      @AKBIT  4 года назад

      You are welcome!

  • @wenwenX525
    @wenwenX525 Год назад +1

    thank you for the video, it helps me a lot

    • @AKBIT
      @AKBIT  Год назад

      Happy to hear. Thanks for your feedback ☺️

  • @aldeansyfr
    @aldeansyfr 4 месяца назад +1

    Thakyouu sir🙏🏻

  • @shamalasham102
    @shamalasham102 Год назад +1

    Sir..... when I submit data in RNA Composer (i.e) results of RNA secondary structure obtained from UNAfold web server, it shows task description excepted and sequence limitations. even though I have submitted 130 residues. how to overcome this problem, sir.

    • @AKBIT
      @AKBIT  Год назад

      RNAComposer allows to work on one RNA molecule of interest at a time; its use is limited upto 500 residues. The input must be in prescribed format, example bellow:
      >example1
      GCUCCUAGAAAGGCGCGGGCCGAGGUACCAAGGCAGCGUGUGGAGC
      (((((.......((((..(((..........))).))))..)))))
      Here 'example1' is the task description which begins with the greater-than symbol '>'. Next line is the RNA sequence and third line is the bracket-notations (obtained from the UNAfold web server).

    • @shamalasham102
      @shamalasham102 Год назад +1

      @@AKBIT Thank you sir.

  • @sambhavmishra1873
    @sambhavmishra1873 3 года назад +1

    Hello sir, how to deal with the RNA sequences that are greater than 500 nucleotide bases??

    • @AKBIT
      @AKBIT  3 года назад +1

      RNA structure prediction algorithms are recursive and high resource-consuming. So, all RNA structure prediction tools have query sequence limitations. You can split your RNA sequence according to the limitations. There are no other options.

  • @shikharani4973
    @shikharani4973 3 года назад +1

    thanku sir for this information but i have one question can we pridict the 3d structure of any gene which is not submitted yet on ncbi also it is partial

    • @AKBIT
      @AKBIT  3 года назад +1

      RNAComposer is an automated 3D structure modelling tool for RNA sequence. So, it is only depend on machine learning algorithm and the available dataset in the RNAComposer server. It does not depend on NCBI database.

  • @victorhose2486
    @victorhose2486 2 года назад

    Hello sir, can we get 3D structure from this tools but we use miRNA sequence?

    • @AKBIT
      @AKBIT  2 года назад

      Yes. You can predict 3D structure of a RNA sequence.

    • @victorhose2486
      @victorhose2486 2 года назад +1

      @@AKBIT thank you, Sir. I want to ask again something, can u suggest to me what tools or server for docking small molecule bioactive compound with RNA? Because i'm already use autodock vina in PyRx but the process always error

    • @AKBIT
      @AKBIT  2 года назад

      @@victorhose2486 You can try the same AutoDock tool with another approach. Watch this video tutorial ruclips.net/video/TR8vUmAjhz8/видео.html

  • @MK-it7jm
    @MK-it7jm 2 года назад

    How do I deal with two RNA chains which are complementary in some part? For example a target RNA sequence and a guide RNA that attracts a nuclease? Thanks for the video btw

    • @AKBIT
      @AKBIT  2 года назад

      Predicting two RNA chains is not possible. Instead, you can concatenate both sequences and try. But, I am not sure about the result which you expect.

    • @MK-it7jm
      @MK-it7jm 2 года назад

      @@AKBIT How to concatenate them? I have another question: is there a tool to do template modelling for RNA?

    • @MK-it7jm
      @MK-it7jm 2 года назад

      By template modelling I mean homology modelling

    • @AKBIT
      @AKBIT  2 года назад

      @@MK-it7jm For example, seq1 = AUGC and seq2 = UAUA, then the concatenated sequence will be AUGCUAUA

    • @AKBIT
      @AKBIT  2 года назад

      @@MK-it7jm Basically the tool mentioned in this tutorial also do the same. I mean automated homology modelling.