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Article
Geraniol attenuates oxygen-glucose deprivation/reoxygenation-induced ROS-dependent apoptosis and permeability of human brain microvascular endothelial cells by activating the Nrf-2/HO-1 pathway
Blood-brain barrier breakdown and ROS overproduction are important events during the progression of ischemic stroke aggravating brain damage. Geraniol, a natural monoterpenoid, possesses anti-apoptotic, cytopr...
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Article
A consensual machine-learning-assisted QSAR model for effective bioactivity prediction of xanthine oxidase inhibitors using molecular fingerprints
Xanthine oxidase inhibitors (XOIs) have been widely studied due to the promising potential as safe and effective therapeutics in hyperuricemia and gout. Currently, available XOI molecules have been developed f...
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Article
Predicting HIV drug resistance using weighted machine learning method at target protein sequence-level
Acquired immune deficiency syndrome (AIDS) is a fatal disease caused by human immunodeficiency virus (HIV). Although 23 different drugs have been available, the treatment of AIDS remains challenging because th...
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Article
Combination use of protein–protein interaction network topological features improves the predictive scores of deleterious non-synonymous single-nucleotide polymorphisms
Single-nucleotide polymorphisms (SNPs) are the most frequent form of genetic variations. Non-synonymous SNPs (nsSNPs) occurring in coding region result in single amino acid substitutions that associate with hu...
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Article
Wavelet transform analysis of NMR structure ensembles to reveal internal fluctuations of enzymes
Internal motions and flexibility are essential for biological functions in proteins. To assess the internal fluctuations and conformational flexibility of proteins, reliable computational methods are needed. I...
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Article
Identification of RNA-binding sites in proteins by integrating various sequence information
RNA–protein interactions play a pivotal role in various biological processes, such as mRNA processing, protein synthesis, assembly, and function of ribosome. In this work, we have introduced a computational me...
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Article
Prediction of Lipid-Binding Sites Based on Support Vector Machine and Position Specific Scoring Matrix
Lipid–protein interactions play a vital role in various biological processes, which are involved in cellular functions and can affect the stability, folding and the function of peptides and proteins. In this s...
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Article
Studying Peptides Biological Activities Based on Multidimensional Descriptors (E) Using Support Vector Regression
A quantitative multidimensional amino acids descriptors E (E1–E5) has been introduced in bioactive peptides Quantitative Structure–Activity Relationship (QSAR) study. These descriptors correlate well with hydroph...
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Article
Using auto covariance method for functional discrimination of membrane proteins based on evolution information
Membrane transporters are critical in living cells. Therefore, the discrimination of the types of membrane proteins based on their functions is of great importance both for hel** genome annotation and provid...
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Article
Prediction of Beta-Turn in Protein Using E-SSpred and Support Vector Machine
β-Turn is a secondary protein structure type that plays an important role in protein configuration and function. Here, we introduced an approach of β-turn prediction that used the support vector machine (SVM) ...
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Article
An ensemble method based on a self-organizing map for near-infrared spectral calibration of complex beverage samples
Based on a so-called ensemble strategy, an algorithm is proposed for near-infrared (NIR) spectral calibration of complex beverage samples. This algorithm is a combination of a novel training set/test set sampl...
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Article
Study of the feasibility of distinguishing cigarettes of different brands using an Adaboost algorithm and near-infrared spectroscopy
The feasibility of utilizing an Adaboost algorithm in conjuction with near-infrared (NIR) spectroscopy to automatically distinguish cigarettes of different brands was explored. Simple linear discriminant analy...
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Article
Prediction of Mitochondrial Proteins Using Discrete Wavelet Transform
A new method was proposed for prediction of mitochondrial proteins by the discrete wavelet transform, based on the sequence–scale similarity measurement. This sequence–scale similarity, revealing more informat...
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Article
Detection of oncoprotein platelet-derived growth factor using a fluorescent signaling complex of an aptamer and TOTO
There have recently been advances in the application of aptamers, a new class of nucleic acids that bind specifically with target proteins, as protein recognition probes for biomedical study. The development o...