Ligand-based drug discovery | Online drug discovery course

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  • Опубліковано 6 чер 2024
  • This video covers Ligand-based drug discovery and this encompasses two major sub-topics: Cheminformatics and quantitative structure-activity relationship (QSAR). This video is an excerpt from the Online drug discovery course.
    📚 Credit
    This course is created by:
    - Chanin Nantasenamat
    - Veda Prachayasittikul
    - Chuleeporn Phanus-umporn
    - Aijaz Ahmad Malik
    - Nuttapat Anuwongcharoen
    - Nalini Schaduangrat
    - Thanate Juntadech
    🌟 Acknowledgement
    This course is funded by the Mahidol University Digital Platform training grant.
  • Наука та технологія

КОМЕНТАРІ • 28

  • @DataProfessor
    @DataProfessor  2 роки тому

    🌟 Join as a Channel Member to support us (and unlock this full course):
    ua-cam.com/channels/V8e2g4IWQqK71bbzGDEI4Q.htmljoin
    🌟 Download Kite for FREE www.kite.com/get-kite/?

  • @studywithme7643
    @studywithme7643 2 роки тому +1

    Thank you so much Professor. It was Insightful and will help people like me who wants to switch career in Bioinformatics.

  • @jetjet6560
    @jetjet6560 2 роки тому +5

    I'm planning on starting my own Bioinformatics project from scratch...so I'll be binging all of your videos soon :D
    Thank you so much for the free and high quality educational videos prof!

    • @DataProfessor
      @DataProfessor  2 роки тому +1

      That's awesome, and glad to hear that the videos are helpful :)

  • @smithasunilnair9527
    @smithasunilnair9527 2 роки тому

    This is an awesome video with much-needed info in CADD in a comprehensive manner.. Thanks! I would like to know if a video of practical implementation in Python for drug repositioning is available

  • @dsulabs
    @dsulabs 2 роки тому +3

    Recent examples of drug repositioning is Viagra. Viagra first use for angina and now recent studies show it also able to reduce the onset of Alzheimer’s disease.

  • @stretch8390
    @stretch8390 2 роки тому +1

    Love the common questions slide, great layout. Your breadth of knowledge in informatics is off the charts, how do you keep up with it all!

    • @DataProfessor
      @DataProfessor  2 роки тому +1

      Thanks for the kind words! To keep up to date on the latest developments in the field, I usually read papers, attend conferences, listen to presentations as well as experimentations. Oh and make lots of errors and mistakes, found that to be the best way to learn as well :)

  • @beintentional982
    @beintentional982 2 роки тому

    Thanks Sir. If possible, please make a video on how to calculate descriptors

  • @Scientific_Hustler
    @Scientific_Hustler 2 роки тому +1

    Sir please make one video to calculate descriptors and feature selection.

  • @carloshu5529
    @carloshu5529 2 роки тому

    hey prof, i got a question, when you say a compound is active or inactive do you mean it is a synergic or blocker compound? or it is simply a compound that interacts with the ligand or not?

  • @ManuelGonzalez-ee1gx
    @ManuelGonzalez-ee1gx Рік тому

    Excellent

  • @haddouabdelghani6911
    @haddouabdelghani6911 2 роки тому +1

    It was very helpful, thank you so much.

  • @saeedr7863
    @saeedr7863 2 роки тому

    Any good book on cheminformatics that you would reccomend? Thank you

  • @zahrashokuee4178
    @zahrashokuee4178 5 місяців тому

    Hello professor, I have a question: if we have one specific ligand and want to find potential targets to bind the ligand, is QSAR the approach that should be applied?

  • @muhammadrezkirasyak
    @muhammadrezkirasyak 2 роки тому

    hello professor, can you share about how machine learning can predict drug combination ?

  • @bharharry2012
    @bharharry2012 2 роки тому

    Hi sir when this training course will start

  • @Hawilabas
    @Hawilabas 2 роки тому +2

    How to enroll for the full course Prof? 🙏 Thank you for your videos, always inspires...

    • @DataProfessor
      @DataProfessor  2 роки тому

      That's a great question, the full course will be available for view by Channel members very soon.

  • @saeedr7863
    @saeedr7863 2 роки тому +1

    Hi,
    As discussed in the video, ml model could be used to extract important features or substructures that contribute to activity of molecule. Will you please explain it how? Thank you

    • @DataProfessor
      @DataProfessor  2 роки тому

      Random forest has a built-in feature importance known as Gini index which can be used to deduce the relative contribution of features (the X) on the bioactivity value (the Y)

    • @rifatsaeed8823
      @rifatsaeed8823 2 роки тому +1

      @@DataProfessor
      Thank you, Professor
      I tried and it really worked. The next step is how to trace back to the substructure from 'important features'. A video lecture on this topic will be highly appreciated. Regards

  • @abdelrahmanfarahat8086
    @abdelrahmanfarahat8086 2 роки тому +1

    How can I get access to the full course Prof?

    • @DataProfessor
      @DataProfessor  2 роки тому

      Hi, the full course will be available for view by Channel members very soon.

  • @sahebraopawar6009
    @sahebraopawar6009 Рік тому

    Shall i join sir

  • @sahebraopawar6009
    @sahebraopawar6009 Рік тому +1

    Good afternoon sir..
    I want to join ur drug discovery online course

    • @DataProfessor
      @DataProfessor  Рік тому

      Hi if you click on the Join link on the main page of this UA-cam channel to be a channel member then it automatically unlocks the rest of the videos in the library.