Compiling GROMACS [1] with GPU can be trivial. Previously, we have provided a few articles on the same. In this article, we will solve an error frequently occurring during GROMACS installation. The error we experience most while compiling GROMACS with CUDA is ‘Could NOT find CUDA: Found unsuitable version “10.1”‘. It occurs when you still haven’t […] The post How to solve ‘Could NOT find CUDA: Found unsuitable version “10.1”‘ error during GROMACS installation? appeared first on Bioinformatics Review ..read more

Previously, we installed the Autodock suite [1] on Ubuntu. Visit this article for details. Now, let’s install it on MacOS. Autodock4 contains two main programs, namely, autogrid4 and autodock4. Autogrid4 calculates a set of grids that describe the target protein. Autodock4 performs the docking of the ligands to those grids [1]. We are installing Autodock […] The post Installing Autodock4 on MacOS. appeared first on Bioinformatics Review ..read more

Sustanon 250 steroid: tutto cio che devi sapere Sustanon 250: Una panoramica sullo steroide Cos’e Sustanon 250? The post Glenjiko appeared first on Bioinformatics Review ..read more

One of the key questions surrounding online dating is whether these platforms lead to long-term relationships. Some 53% of adults under 30 have ever used a dating site or app – including a quarter who have used one in the past year. This compares with 37% of those ages 30 to 49 who have ever […] The post Online Dating Safety and How to Recognize Red Flags appeared first on Bioinformatics Review ..read more

Autodock suite is used for docking small molecules [1]. Recently, Autodock-GPU [2] is developed to accelerate the docking process. Its installation is described in this article. In this tutorial, we will install Autodock 4.2.6 on Ubuntu. Getting started It is good to update and upgrade your Ubuntu system first. Log into your Ubuntu system and […] The post How to install Autodock4 on Ubuntu? appeared first on Bioinformatics Review ..read more

Discovery Studio (DS) Visualizer (from BIOVIA) is a visualization tool for viewing, sharing, and analyzing proteins [1]. Here are some uses and applications of DS Visualizer. It can allow us to: visualize proteins and small molecules. analyze Vina docking results. (For details on how to do it, read this article). modify structures by building and […] The post DS Visualizer: Uses & Applications appeared first on Bioinformatics Review ..read more

Remote homologs are similar protein structures that share similar functions, but there is no easily detectable sequence similarity in them. A new study has revealed that the protein folding information can be exploited from remote homologous structures. A new tool is developed to recognize such proteins and predict their structure and folding pathway. This tool […] The post Protein structure & folding information exploited from remote homologs. appeared first on Bioinformatics Review ..read more

While doing molecular dynamics (MD) simulation, it can be difficult to calculate the number of steps or nsteps for an MD run accurately. In this article, we will learn to calculate nsteps for an MD run. When we prepare the MD run file (md.mdp) in the GROMACS simulation, we need to write the exact number […] The post How to calculate number of steps (nsteps) for MD simulation run? appeared first on Bioinformatics Review ..read more

Detecting viruses and bacteria in RNA-seq data with less false positive rate is a difficult task. A new tool is introduced to detect pathogens in RNA-seq data with high precision and recall known as Pathonoia [1]. Pathonoia uses k-mer based method for species identification. It provides a nice framework that shows microbe-host interactions. How Pathonoia […] The post Pathonoia- A new tool to detect pathogens in RNA-seq data. appeared first on Bioinformatics Review ..read more

In this article. we are creating a pie chart of the docking score of five different compounds docked with the same protein. In the following Python code, let’s store the docking scores in a variable called ‘data‘, and compound names in the ‘label‘ variable. import matplotlib.pyplot as plt import numpy as np %matplotlib inline data […] The post How to create a pie chart using Python? appeared first on Bioinformatics Review ..read more