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Commit bba466a8 authored by Ashrith Sagar Yedlapalli's avatar Ashrith Sagar Yedlapalli :speech_balloon:
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c0.17.6 README updated

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> ***Peptide sequence mutator through Alanine Scanning***
l=l [PEP_MOD Image]
## Table of contents
- [Description](#description)
......@@ -54,16 +52,8 @@ Protein engineering is the process of modifying a protein through substitution,
Furthermore, we explored other point mutation softwares for our problem; however, they only took surface information into consideration. We decided to take ddG value of a residue as the parameter for mutation which give an increase in the accuracy of the mutation.
## Available current alternatives
l=l PhageModifier
https://2018.igem.org/Team:IISc-Bangalore/Software
# Installation
## Linux/Unix
1. Open terminal and go to a directory where you want to installation files to be downloaded to.
```shell
......@@ -76,32 +66,19 @@ https://2018.igem.org/Team:IISc-Bangalore/Software
git clone https://gitlab.igem.org/2022/software-tools/mit-mahe.git
```
## macOS
1. Install Homebrew, if not already installed.
```shell
brew install
```
2.
3.
## Windows
3. ```shell
pip install -e .
```
l=l
4. ```shell
python3 -m pep_mod/pep_mod.py -h
```
## Install dependencies
l=l
## Compilation from source
l=l
# Usage
l=l
```shell
pip install -r requirements.txt
```
**Input**: A docked structure of a receptor and a ligand.
......@@ -109,21 +86,7 @@ l=l
## Flags
-g
-a
-o
-d
-g
-a
-l
-c
-g, -a, -o, -d, -g, -a, -l, -c
# Method
......@@ -169,9 +132,7 @@ A trivial random sampler is implemented using `random.sample()` on the sequences
# Contribution
l=l [Guildlines and future scope of the project]
l=l Involving a Monte Carlo approach of sampling
Plans to include a Monte Carlo approach of sampling.
## Authors and acknowledgement
......
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