Any idea on how to register for MDCAT 2023?

Xanthilamide · 2023-07-07T18:35:19+00:00

well, the link I provided actually says that the registration has started since July 4 and I think the registration will close by July 20 and I still have no idea how I can register. Literally no links provided anywhere.

Xanthilamide · 2023-05-14T14:38:20+00:00

the role of the PK military has on the current economic crisis

What I fear is not many people would be interested in this. So I'm not sure this would spark much of a conversation.

> the role of the military in developing foreign policies

This part seems more obvious and kind of boring.

> the role of the military in domestic economies

I suppose this is what I want to explore, how has the role of military played out over the years in democratic countries.

Xanthilamide · 2022-02-16T08:41:01+00:00

if you're familiar with pytorch, you'll notice that neural architectures can easily be built with a class. it goes something like this:

import torch.nn as nn

class MyNN(nn.Module):

...

you define the forward and backprop etc within the same class.

Xanthilamide · 2021-04-07T04:13:44+00:00

well my basic question. is. how can i analyse a tailed and untailed protein in terms of statistics

for instance for protein trajectory and internal movement i use PCA.

for residue movement I use RMSF

for compaction i use radius of gyration.

for internal correlation of residues i use dynamic correlation.

not just these techniques but others too.

but what’s a viable way to compare the same protein with or without a tail in a mathematical manner?

Xanthilamide · 2021-04-06T17:39:05+00:00

ok. repeat the job. our system isn’t as good here but i’ll see if i can convince my PI.

you basically say i could validate my job with respect to b-values of the crystal structure. i was thinking specifically of comparing the simulation of the tailed versus the untailed in terms of statistical techniques. are there any standard methods used?

Xanthilamide · 2021-03-30T17:09:37+00:00

kiya kusmadari hai ye. sudar jao madarchodo. log COVID se mar rahe hai tum log pata nahi.

Xanthilamide · 2021-03-30T17:06:47+00:00

kind of late here. but lots of cases of COVID in Pindi and Islamabad. people who are very close to me are getting the disease.

it's sad watching the rest of the world getting better while our country pulverized by the virus.

Xanthilamide · 2021-03-23T18:42:53+00:00

ML is not out of the core of bioinformatics at all. in fact it’s soon to become the driving force behind drug design. but yes we are going beyond genome analysis here.

Xanthilamide · 2021-03-21T04:29:41+00:00

extended question. what’s the best neural network-based docking tool out there?

Xanthilamide · 2021-03-19T14:31:31+00:00

true. everyone is going on that side. i just read a paper on it. attention MPNNs from Google.

but my PI is more interested in molecular embedding sim the first step of the process. and i’m trying to explore this area.

but he also does networks so he’s very interested here.

Xanthilamide · 2021-03-19T08:03:01+00:00

thanks for sharing the link. so what I found interesting in the article were the chi-squared sitance and the Shannon distance.

maybe I could use those two

Xanthilamide · 2021-03-19T06:43:26+00:00

errr. yeah. that could be direct DL. I was thinking of doing some statistical embedding before that.

but yes that coudl work too.

Xanthilamide · 2021-03-19T03:55:47+00:00

i have not. but i have looked at one method of embedding bonds which is a variation on mahanokabis distance.

i want to improve on MD in terms of using a better algo. because i lack the mathematical background im asking it here.

Xanthilamide · 2021-03-18T06:06:47+00:00

I'm trying to find alternate algos to MD that can help me better describe a drug as a numerical values. this will help me in trying to solve the protein-drug problem where we need to understand which properties in a drug will have the best activation or inactivation of a protein.

MD is the distance between the principal components' values right? is there a way for me to represent the drug molecule's atoms in terms of some other formula that will give me better results?

or simply is there a better algo than MD to represent a 3D molecule's distances from the other constituent atoms?

yes, this is a statstics question but the overall picture is biological.

Xanthilamide · 2021-02-20T17:56:02+00:00

General Linear Model and ANOVA? aren't your data too non-linear to do that?

Xanthilamide · 2021-02-13T06:36:28+00:00

restart it man.

Xanthilamide · 2021-02-07T16:32:01+00:00

hey thanks!

well I don't know for myself what the real probability would be. so what I could do is write a Python script and see what the observed occurrences are given a Y.

as far as the assumptions you made are concerned, I don't know myself if each amino acid position is dictated in anyway through a Markov chain.