Up-Regulated Proteins Have More Protein-Protein Interactions than Down-Regulated Proteins.

Microarray technology has been successfully used in many biology studies to solve the protein-protein interaction (PPI) prediction computationally. For normal tissue, the cell regulation process begins with transcription and ends with the translation process. However, when cell regulation activity goes wrong, cancer occurs.

Compact Genetic Algorithm-Based Feature Selection for Sequence-Based Prediction of Dengue-Human Protein Interactions.

Dengue Virus (DENV) infection is one of the rapidly spreading mosquito-borne viral infections in humans. Every year, around 50 million people get affected by DENV infection, resulting in 20,000 deaths. Despite the recent experiments focusing on dengue infection to understand its functionality in the human body, several functionally important DENV-human protein-protein interactions (PPIs) have remained unrecognized.

Machine learning techniques for sequence-based prediction of viral-host interactions between SARS-CoV-2 and human proteins.

Background: COVID-19 (Coronavirus Disease-19), a disease caused by the SARS-CoV-2 virus, has been declared as a pandemic by the World Health Organization on March 11, 2020. Over 15 million people have already been affected worldwide by COVID-19, resulting in more than 0.6 million deaths.

Biclustering-based association rule mining approach for predicting cancer-associated protein interactions.

Protein-protein interactions (PPIs) have been widely used to understand different biological processes and cellular functions associated with several diseases like cancer. Although some cancer-related protein interaction databases are available, lack of experimental data and conflicting PPI data among different available databases have slowed down the cancer research. Therefore, in this study, the authors have focused on various proteins that are directly related to different types of cancer disease.

A Graph-Based Approach for Finding the Dengue Infection Pathways in Humans Using Protein-Protein Interactions.

Dengue virus (DENV) is one of the deadly arboviruses, which is primarily transmitted by , and causes dengue infection to the humans. According to WHO, every year around 390 million humans are affected by DENV, of which around 50 million deaths are reported. Knowledge of the various diseases caused by the DENV would greatly encourage to understand the infection mechanism and help to design new antiviral drug discovery.

Canonical PSO Based K-Means Clustering Approach for Real Datasets.

"Clustering" the significance and application of this technique is spread over various fields. Clustering is an unsupervised process in data mining, that is why the proper evaluation of the results and measuring the compactness and separability of the clusters are important issues. The procedure of evaluating the results of a clustering algorithm is known as cluster validity measure.

A distinct mechanism for activating uncoupled nicotinic acetylcholine receptors.

The ability of the nicotinic acetylcholine receptor (nAChR) to undergo conformational transitions is exquisitely sensitive to its surrounding lipid environment. Previous work has highlighted a conformational selection mechanism, whereby different lipids stabilize different proportions of activatable resting versus nonactivatable conformations. In the absence of anionic lipids and cholesterol, the nAChR adopts an uncoupled conformation, which binds agonist with resting state-like affinity but does not usually undergo agonist-induced conformational transitions.