Відео

Respected sir, the dedication you show in your UA-cam lectures inspires learning and curiosity , grateful for your guidance. Thank you so much. stay blessed.

How can i convert .cms file to xvg. Cms file from desmond. Please help

so much helpful

❤❤

When i use "gmx2pdb -f x.pdb ... NOw, i m getting a warm : "Fatal error: Residue 'UNK' not found in residue topology database." then when I delete the UNK part in pdb file.. there is no warm and error from this code. how to solve this problem while the "gmx2pdb -f ....." is used without not delete the ligands from the pdb file?..thanks

Your provided link is not working kindly provide the software link😊

Kudos. How do i generate the .xvg files?

Extraordinary teaching methodology, sir👏👏

Hello sir.. I'm doing targeted docking . Is it necessary that the ligand should be in the grid box?

Hi, I am not getting the link to the third-party tool. Please reply the link in this comment. Thank you.

hello! I have 2 -pentameric rings in my protein. how can I use alphafold3 to get its structure?

Great tutorial video. Easy to understand for beginners like me. 👍

Nice video! If you want to know more about visualization of ligand-protein interactions have a look at our channel.

sir why it(R ) dont mix "data=data" both are holding differetn information ... ? i hope I'm clear to you... the sec data is our variable holding data and first one is "argument " , how R differtiate both , while other language mostly dont differentiate ..

Sir can Pearson correlation be helpful for analyzing "conditional probability"...?

it's fascianting, really easy, thank you so much for your efforts 😊

video is blur🥲

really really fascinating 😊😊

it's just amazing... "psych" , really interesting , THANK YOU👏

Thank you sir , it's really helpful... Alhamdulilah

mode <- function(x) { uniqx <- unique(x) return(uniqx[which.max(tabulate(match(x, uniqx)))]) } unique(x) finds the unique values in the input vector x. tabulate(match(x, uniqx)) counts the occurrences of each unique value in x. which.max(tabulate(match(x, uniqx))) finds the index of the most frequent value. uniqx[which.max(tabulate(match(x, uniqx)))] returns the most frequent value from the unique values.

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much interesting, and easy...Thanks alot

can we do this on laptop?

i have another question, how to use Fe or any other metal on GROMACS.

Hi I want to do the course on simulation, docking modeling. Can you help me

Wyman Station

Hello, the gromacs is unable to install after 4th command wget as you mentioned in your video. Its says an error and file bot found ?

Corkery Pine

Hello sir, I have to do MD Simulation for protein, are that command’s still working for any protein ?

🥰

Thank you for wonderful work. Is it necessary that nvt npt and md production time should be same or nvt and npt may be less than final md production

Sir, Do we to choose same nucleotide's different sequences?

This lecture was incredibly informative and helpful 😊

Thanks ❤😂

Sir when will your new course be available in udemy

Please like share and subscribe. Please feel free to contact us at datascienceandbioinfo@gmail.com

Please like share and subscribe 🎉

Sir i have tried as shown in video When i tried script1.py It shows cannot open logfile script1.log : permission denied Not understanding what's the issue

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Well Explained

Thanks.... Massively Informative.... Is there any platform that provide free certification too?

Wasting time

The video content is wonderful. But I have a question, I was recently exploring the structure of a protein (Q06890 - CLUS_MOUSE) using AF3, and although the AF predicted tertiary structure of this protein is provided on Uniprot, it does not have the signal peptide removed from the amino acid chain. Therefore, I was going to use AF3 to predict the structure of CLU after the signal peptide was sheared. But CLU has multiple post-translational modifications especially glycosylation. I am going to enter the remaining amino acid sequences after removing the signal peptide amino acids into AF3 for prediction, do I need to edit the PTM option after entering the amino acid sequences? Or do I just input these sequences directly for AF3 to predict?

Have any questions about visualizing multiple regression plots in R? Drop them below, and I'll be happy to help! Also, let me know what topics you'd like to see in future videos.

Amazing

Very nice tutorial.

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Thank you very much for the video! <3 I am calculating a linear model for a questionnaire where the variables have 5 levels (Likert scale from 1 = very good to 5 = very bad). I am unsure whether to treat these variables as factors or as numeric; is there a standard rule for this?

There is one website - quandlelabs where you can perform docking with many tools faster than this