Bioinformatics Programming
How to download files from an FTP server using Python?
In this article, we provide a simple Python script to download files from an FTP server using Python.
Write the FTP address and your username and password in the place specified below. Save this file in Python format (for example, download.py) and run it as:
$ python3 download.py
#!/usr/bin/env python3
import fnmatch
from ftplib import FTP
ftp = FTP('ftp address')
#if no username and password is required.
ftp.login()
#if username and password is required.
ftp.login('your-username','your-password')
# if you have to change directory on FTP server.
ftp.cwd('/path/to/dir/')
# Get all files
files = ftp.nlst()
# Download files
for file in files:
if fnmatch.fnmatch(file, '*.tar.gz'): #To download specific files.
print("Downloading..." + file)
try:
ftp.retrbinary("RETR " + file ,open("/path/to/dir/on/your/local/system/" + file, 'wb').write)
except EOFError: # To avoid EOF errors.
pass
ftp.close()
In this article. we are creating a pie chart of the docking score of five different compounds docked with the same protein. (more…)
With the new year, we are going to start with a very simple yet complicated topic (for beginners) in bioinformatics. In this tutorial, we provide a simple code to plot swarm boxplot using matplotlib and seaborn. (more…)
Previously, we provided a similar script to download ligand SMILES from PDB ligand IDs. In this article, we are downloading PDB ligand structures from their corresponding IDs. (more…)
Fetching SMILE strings for a given number of SDF files of chemical compounds is not such a trivial task. We can quickly obtain them using RDKit or OpenBabel. But what if you don’t have SDF files of ligands in the first place? All you have is Ligand IDs from PDB. If they are a few then you can think of downloading SDF files manually but still, it seems time-consuming, especially when you have multiple compounds to work with. Therefore, we provide a Python script that will read all Ligand IDs and fetch their SDF files, and will finally convert them into SMILE strings. (more…)
Bioinformatics Programming
How to get secondary structure of multiple PDB files using DSSP in Python?
In this article, we will obtain the secondary structure of multiple PDB files present in a directory using DSSP [1]. You need to have DSSP installed on your system. (more…)
Bioinformatics Programming
vs_analysis_compound.py: Python script to search for binding affinities based on compound names.
Previously, we have provided the vs_analysis.py script to analyze virtual screening (VS) results obtained from Autodock Vina. In this article, we have provided another script to search for binding affinity associated with a compound. (more…)
VMD allows converting PDB to PSF format but sometimes it gives multiple errors. Therefore, in this article, we are going to convert PDB into PSF format using a different method. (more…)
As mentioned in some of our previous articles, RDKit provides a wide range of functions. In this article, we are using RDKit [1] to draw a molecular structure using SMILES. (more…)
Data preprocessing is a foremost and essential step in clustering based on machine learning methods. It removes noise and provides better results. In this article, we are going to discuss the steps involved in data preprocessing using MATLAB [1]. (more…)
RDKit [1] allows performing multiple functions on chemical compounds. One is the quantitative estimation of drug-likeness also known as QED properties. These properties include molecular weight (MW), octanol-water partition coefficient (ALOGP), number of hydrogen bond donors (HBD), number of hydrogen bond acceptors (HBA), polar surface area (PSA), number of rotatable bonds (ROTB), number of aromatic rings (AROM), structural alerts (ALERTS). (more…)
You can obtain SMILES of multiple compounds or ligands in an SDF file in one go. Here, we provide a simple Python script to do that. (more…)
Bioinformatics Programming
tanimoto_similarities_one_vs_all.py – Python script to calculate Tanimoto Similarities of multiple compounds
We previously provided a Python script to calculate the Tanimoto similarities of multiple compounds against each other. In this article, we are providing another Python script to calculate the Tanimoto similarities of one compound with multiple compounds. (more…)
Bioinformatics Programming
tanimoto_similarities.py: A Python script to calculate Tanimoto similarities of multiple compounds using RDKit.
RDKit [1] is a very nice cheminformatics software. It allows us to perform a wide range of operations on chemical compounds/ ligands. We have provided a Python script to perform fingerprinting using Tanimoto similarity on multiple compounds using RDKit. (more…)
In this article, we are providing a few commands that are used to commit changes to GitHub repositories using VS code terminal.
The x, y, and z coordinates of atoms are provided in the PDB file. One way to extract them is by using the Biopython package [1]. In this article, we will extract coordinates of C-alpha atoms for each residue from the PDB file using Biopython. (more…)
A new Python package named ‘dssp_parser‘ is developed to parse DSSP files. This package fetches all helices including long and short ones from DSSP files. (more…)
Bioinformatics Programming
How to calculate center of mass of a protein structure using Python script?
Here is a Python script that helps you calculate the center of mass of a protein using the Pymol [1]. (more…)
Bioinformatics Programming
How to sort binding affinities based on a cutoff using vs_analysis.py script?
Previously, we have provided a Python script (vs_analysis.py) to analyze the virtual screening (VS) results of Autodock Vina. Now, we have updated this script to sort binding affinities based on user inputted cutoff value. (more…)
Bioinformatics Programming
sminalog_analysis.py – A new Python script to fetch top binding affinities from SMINA log file
In one of our previous posts, we provided a Python script for the virtual screening analysis of Autodock Vina. This script analyzes all log files obtained from the docking of multiple ligands to a receptor and provides the binding affinities for top poses from each file. In this article, we are publishing a new Python script for the virtual screening analysis of SMINA [1]. (more…)
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