From 8933a811e46d69762ba8e35cd13d6f7f0310cdd0 Mon Sep 17 00:00:00 2001
From: Bhavay Aggarwal <43617111+Chokerino@users.noreply.github.com>
Date: Thu, 11 Nov 2021 02:15:47 -0800
Subject: [PATCH 1/3] Update README.md

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 scripts/README.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/scripts/README.md b/scripts/README.md
index 1db1e7b..7938b13 100644
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 # Agonist-antagonist
-##Work in Progress
 
 bindfeat - extracts features generated by fpocket binding pocket descriptors.  
 cleaner - removes pdb files which have dna/rna.  

From f411a5d5a971237af31fb3a08ef92d9aab6a6db4 Mon Sep 17 00:00:00 2001
From: Bhavay Aggarwal <43617111+Chokerino@users.noreply.github.com>
Date: Thu, 11 Nov 2021 02:18:01 -0800
Subject: [PATCH 2/3] Update README.md

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 README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 6cb5904..3717dbe 100644
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@@ -11,5 +11,6 @@ In summary, we have demonstrated our models ability to differentiate between ago
 
 My [BTech Project](https://github.com/RayLabIIITD/AgAnt/blob/main/BTP.pdf) report gives an overview of all the work done.
 
-Our model is hosted on //placeholder.com// and can make predictions for any given PDB ID-Ligand ID pair or Protein Sequence-Ligand SMILES pair. Additional usage instructions are detailed on the web page.
+Our model is hosted on [agant.raylab.iiitd.edu.in](http://agant.raylab.iiitd.edu.in:8005) and can make predictions for any given PDB ID-Ligand ID pair or Protein Sequence-Ligand SMILES pair. Additional usage instructions are detailed on the web page.
 
+This repository contains mostly uncommented code although the jupyter notebooks have the detailed experiments on the ProtVec and SMILES based models. 

From efbec27dff4d5c40bd049cf58fbdeea4246b08f2 Mon Sep 17 00:00:00 2001
From: Bhavay Aggarwal <43617111+Chokerino@users.noreply.github.com>
Date: Thu, 11 Nov 2021 05:58:23 -0800
Subject: [PATCH 3/3] Update README.md

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 README.md | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/README.md b/README.md
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 # AgAnt
 
+[Link to Paper]()
+
 Activity modulation of proteins is an  essential biochemical process in cell. The interplay of the protein, as receptor, and it's corresponding ligand dictates the functional effect. An agonist molecule when bound to a receptor produces a response within the cell while an antagonist will block the binding site/produce the opposite effect of that of an agonist. Complexity grows with scenarios where some ligands might act as an agonist in certain conditions while as an antagonist in others. It is imperative to decipher the receptor-ligand functional effect for understanding native biochemical processes as well as for drug discovery. Experimental activity determination is a time extensive process and computational solution towards prediction of activity specific to the receptor-ligand interaction would be of wide interest.
 
 We created our dataset by filtering through RCSB for entries which matched our criteria and further refined the results by performing additional filtering. The [data](https://github.com/RayLabIIITD/AgAnt/tree/main/data) folder contains the relevant data files.