ICBBB

Hras protein is an intermediate for signals of cell proliferation and cell differentiation when Hras combines with guanosine triphosphate (GTP). In ordinary cells, GTP combined with Hras is hydrolyzed to guanosine diphosphate (GDP), and the structures ...

Mutation of a single amino acid residue may change protein structure which affect protein function and diseases. Increasing protein stability or maintaining its stability while changing protein properties is often a goal in protein engineering, drug ...

Identification of interactions of drugs and proteins is an essential step in the early stages of drug discovery and in finding new drug uses. Traditional experimental identification and validation of these interactions are still time-consuming, ...

Chemerin-9 is a nonapeptide that corresponds to the YFPGQFAFS sequence on the C-terminus of Chemerin protein. Recent clinical and animal studies using mice, it has been recently reported that Chemerin-9 binds to the ChemR23 receptor and can suppress the ...

The seeding heuristic is widely used in many DNA analysis applications to speed up the analysis time. In many applications, seeding takes a substantial amount of the total execution time. In this paper, we present an efficient GPU implementation for ...

Clustering is widely used in biological analyses for clustering genes into functional modules. For any clustering mechanism, we need to define some measurements for dissimilarity. The two most commonly used dissimilarity metrics are the Manhattan ...

In this study, we proposeanovel method for the inverse QSAR/QSPR. Given a set of chemical compounds G and their values a(G) of a chemical property, we define a feature vector f(G) of each chemical compound G. By using a set of feature vectors as ...

Seasonal pandemics of influenza A viruses bring enormous threaten to human healthy. Different subtypes of influenza A viruses disseminated in human have variable susceptibilities to antiviral drug, so rapid subtyping of influenza A viruses has been ...

Lung cancer is the most prevailing source of death due to cancer, accounting for over 25% of death in the United States. Being able to predict the survival time for patients will provide valuable information for the choice of their treatment plans and ...

Primary liver cancer has been a common reason for death from cancer globally. The most common type of primary liver cancer is the hepatocellular carcinoma (HCC). The major cause of HCC is chronic infections with hepatitis B virus (HBV). In this research,...

Several classification algorithms have been applied into microarray studies for colorectal cancer identification. Algorithms such as naïve bayes, random forest, logistic regression, support vector machine, and deep learning have been successfully used ...

There is increasing evidence that long non-coding RNAs (lncRNAs) play an important role in many significant biological processes. Associations' detection between lncRNAs and human diseases by computational models is beneficial to the identification of ...

[Background]For advancing biomedical text-mining research, formal evaluations and manually annotated text corpus are critically important. In terms of biomedical corpus construction, in order to meet different needs, many scholars have built different ...

Breast cancer is a highly heterogeneous disease that consists of subtypes with distinct genetic features and clinical symptoms. The patients with different subtypes react to different therapies, thus identifying molecular subtypes greatly contributes to ...

In this study, the induction expression conditions of cold-adapted α-amylase (Amy175) from Pseudoalteromonas sp. M175 in E. coli were investigated. The optimal induction conditions were as follows: 20 mM L-proline was added into the culture medium at ...

In minimally invasive surgery for atrial fibrillation, radiofrequency (RF) voltage is usually used to ablate cardiac tissue. In this study, a computational modeling of multi-source frequency control RF ablation mode (FcM) was constructed to analyze the ...

A feature reduction scheme is developed in this study. The proposed scheme is a hybrid of unsupervised and supervised methods. The unsupervised process is designed to exclude the irrelevant and useless information before executing feature selection. ...

Proteins that specifically bind to metals have been used for research on development of new organic-inorganic hybrid materials. Several peptides and proteins that bind to metals have been reported; this property can be attributed to their structures. In ...

Computational simulation is highly useful to study the mechanisms and methods of electrical defibrillation. However, current simulation methods have considerable limitations, such as inability to obtain the virtual electrode polarization and tremendous ...

In this paper, we describe a novel machine learning method for classifying Alzheimer's disease (AD), Mild cognitive impairment (MCI) and Normal Control (NC) subjects based on structural MRI. We first extracted features from MRI scans, including cortical ...

Intravenous injection of protein drugs causes many negative side effects known as infusion reactions and serious consequences, such as serum sickness. This article shows the possibility of intake into the body of recipients of drug preparations of ...

In recent years, deep learning methods have gained promising results in different kinds of image processing tasks, such as image classification, semantic segmentation, image generation and so on. This paper focuses on the research of brain masking for ...

The incidence of Dengue Hemorrhagic Fever (DHF) is related to the alternation of environment condition, particularly weather, in which global warming may elevate the DHF case. The objective of study is to analyses the relationship between local weather ...

Optical imaging is a popular method for biology research, and now there lots of optical imaging system. Confocal imaging is a wide used one which was introduced the pinhole and subsequently is not affected by the out-of-focus signal, making the method ...

Disease of the lower limb musculoskeletal system is one of the most common diseases in elders. The use of interactive somatosensory games (ISGs) in rehabilitation has been widely used. Most relevant studies have focused on efficacy, while only a few ...

Medical simulation training is an important approach contributing to medical safety. In the field of neonatology, serious efforts have been devoted to construct manikins, which are realistic in shape and improve the haptic experience. As central ...