| Title | : | Machine Learning for Drug Discovery (Explained in 2 minutes) |
| Lasting | : | 2.38 |
| Date of publication | : | |
| Views | : | 87 rb |
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Wow I have read almost a dozen of papers but this short video gave me everything i wanted Thankyou🎉 Comment from : @priyamkafle7280 |
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Hi, thank you very much for this insights, you are fantastic Do you have a step by step using Qsar in your channel? Comment from : @sofiaramos9185 |
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Wilson Deborah Wilson Melissa Lopez Mary Comment from : @DierserChloe-r5o |
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2652 Aliyah Center Comment from : @RyanAthy |
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How to built the machine learning model Comment from : @kailashB77 |
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Toy Harbors Comment from : @BeckArmstrong-u4b |
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Johnson Track Comment from : @EdmondDupre-m9g |
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Barton Stravenue Comment from : @WallaceBennett-k8l |
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Brown Fords Comment from : @AshleyOrrison-r5u |
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Althea River Comment from : @HopkinsNigel-h4k |
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Wunsch Landing Comment from : @ValentineLatchaw-s9l |
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Hi, can you expleain about the proteochemometric model concept too? Thank you for your dedicate work! Comment from : @fg4309 |
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Thank you, professor I'm interested to study more about this subject Comment from : @AhmedSaket-v7n |
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How are the datasets built? Comment from : @essofluffy |
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Thank you I will make a neural network for drug discovery now Comment from : @okay730 |
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Thank you for the explanation How to deal with unlabeled dataset? Can we use pretrained model? If so give any suggestions Comment from : @alizanaz5963 |
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Professor I have two questions br1 What is the difference between the Pharmacophore model and QSAR and how they are connected?br2 How can we validate a Pharmacophore model using ROC curve without using a paid software (like Ligand scout or MOE) ? Comment from : @souvikchakraborty3620 |
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Fantastic explaination! Comment from : @yaochung-chen |
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Awesome intro to Cheminformatics in drug discovery! Comment from : @anirudhgangadhar6158 |
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thanks!! Comment from : @miguelangellinaresaragon8387 |
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very nice Comment from : @mussabuddin1281 |
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As an upcoming 3rd year BS Pharmacy student, I am really excited to use QSAR for our possible thesis topic, really! Comment from : @jannmikoingelrabagogamingc6012 |
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Hi DataProfessor, Do you think this sort of approach will assisting in getting the the breakthrough in finally understanding how some anaesthetics work on the brain? Comment from : @stretch8390 |
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would you mind explaining what you mean bioactivity and what you mean by active or non active? What exactly is the model predicting?/active in what? Comment from : @saraayoub5459 |
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Thanks this was brilliant Comment from : @vans4lyf2013 |
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Hello! I'm currently conducting research in this area and your videos and expertise are what I'm looking for! I just started and I'm looking to really dive deep into this research area I would really love to get in touch with you! Comment from : @jmarti1997jm |
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Is there any book to learn machine learning for the drug discovery Comment from : @houssemzitoun110 |
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Hi teacher Thanks Comment from : @sd-damavandi |
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Bro plz maje a video on computational biology Comment from : @shivaygupta2556 |
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That's so awesome! thanks so much! :D Merry Christmas and Happy New Year! :D Comment from : @SergioArroyoSailing |
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Great work Professor, I've been following your computational drug discovery series avidly Comment from : @traveldiaries347 |
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Thanks Data Professor A concise and brilliant video Your channel has been helping in my AI in drug discovery research Comment from : @michaeloladunjoye5258 |
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Imma implement it sooner Comment from : @jagritisankhwar |
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Very simple, thank you Great summary Comment from : @CrazyFanaticMan |
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How to create the representation? Comment from : @rozzs74 |
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Nice explanation 👍 Comment from : @divyakarade4378 |
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as usual, it is just the fight between 0 and 1 :D Comment from : @username42 |
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Very cool data prof! Love the short format! Comment from : @KenJee_ds |
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Thank you so much, sir Excellent explanation!! Comment from : @Patricia-fu9dj |
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Wow! Comment from : @jsyoon9258 |
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Great diagram ! Comment from : @Sebpv2006 |
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Thank you Professor! Comment from : @MM-fs7ki |
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Is knowing the structure and chemical constituents redundant information? Comment from : @user-or7ji5hv8y |
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I think this kind of problem may the first example of a Hybrid Machine Learning-Deep Learning model Obviously we have the molecule which we can probably use self-supervised representation learning with, but we also have these handcrafted features that describe the chemical property Hard to disentangle if you would only want to use one set of features or the other (raw molecule representation vs chemical descriptors) Comment from : @connor-shorten |
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Brilliant, hope to see videos titled like this take off Comment from : @connor-shorten |
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Great explanation professor I'm just finishing a master degree in molecular pharmacology and as you I'm also a biologist I'm glad to have found your channel Sincerely, your work inspire me to keep trying in data science Comment from : @toastermax1 |
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Great content sir Thanks a lot for sharing!! Comment from : @luciferkhusrao |
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So fond of your work To much easy to learn Thanks (Y) Comment from : @ahmadhassan0011 |
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Can please make a end to end project of this I'm a student, your projects helping a lot to learn I request Thank you for great information Comment from : @rushikeshgandhmal |
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