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Predicting Anatomical Therapeutic Chemical Drug Classes from 17 molecules’ Properties of Drugs by Multi-Label Binary Relevance Approach with MLSMOTE
Anatomical Therapeutic Chemical (ATC) classes prediction is one of the prominent activities in the costly and tedious pipeline of drug discovery where machine learning plays an important role by minimizing the cost and time of prediction. Most of the ...
DNA-methylation based Machine-learning Model for Impaired Liver Function Prediction
Liver diseases include any medical disorders that negatively impact the normal functions of liver. They pose a great threat to public health due to their high prevalence. The early diagnosis of liver diseases is important for successful treatment but is ...
Automated Cell Recognition using Single-cell RNA Sequencing with Machine Learning
This paper investigates the superiority and limitations of different dimensionality reduction schemes and classification methods in specific single-cell RNA sequencing (scRNA-seq) data sets. With systematic analysis as well as variables-controlled ...
A Comparison of Supervised Classification Methods for Classifying Biological Cell Types
The advent of single-cell RNA sequencing has enabled researchers to characterize specific cell types and learn more about their functional and pathological roles. Therefore, correctly classifying these cells into cell types is essential. Past research ...
Comprehensive Analysis of the Immunogeomic Landscape and Clinical Features in Cervical Cancer
Immunotherapy has changed the standard of treatment for many cancers. However, the same treatments showed disappointing outcomes in cervical cancer so far. Thus, understanding the mechanisms that support the immune tolerance of cervical cancer will ...
RNA-Seq Analysis Reveals DPYSL2 and PNKD Promotes Cardiomyocytes Differentiation during Reprogramming
Cardiomyocytes are terminally differentiated cells in the heart, whose injuries leads to severe health issue including cardiac failure and even death. Traditional medical procedure failed to rescue damaged cardiomyocytes and hence cannot cure severe ...
Phylogenetic Analysis of aaRS Reveals the Kinship of Amino Acids
Aminoacyl-tRNA synthetases catalyze the reaction of amino acids and the cognate tRNA. They are among the first proteins that emerged on the Earth. Here, we constructed and analyzed phylogenetic trees of eight aaRSs of which the respective amino acids ...
Design of a High-Resolution Ultrasonic Temperature Meter for Soft Tissue-Mimicking Phantoms based on a PSoC Module
- Pedro Jesus Acevedo-Contla,
- Demetrio Fabian Garcia-Nocetti,
- Martin Fuentes-Cruz,
- Adalberto Joel Duran-Ortega
The measurement of temperature using non-invasive ultrasonic methods is based on changes in the ultrasonic velocity due to the temperature variation in the medium. This article describes an electronic device for measuring temperature in soft tissue-...
Tissue and Drug Specificity of Drug Sensitivities in Different Cancer Cell Lines
Cancer cell lines are widely used in cancer research and medical science, but the usefulness and efficacy of using cancer cell lines remains controversial. In this study, I used the data from CCLE (Cancer Cell Line Encyclopedia) to investigate the ...
Emergent Properties of Blood Flow in Arteries using Cellular Automata
wave are propagated in blood flow from heart to arteries. Formation of cellular automata (CA) rules for Allan-Cahn equation has been done using ultradiscretization. CA rules 250 and 254 have been obtained from Allen-Cahn equation. An emergent behaviour ...
Overview: Some Basic Controversies and Applications of Cytochrome P450 Compound I
Cytochrome P450 is a superfamily of enzymes that play an important role in body metabolism. Compound I has been identified to be a reactive intermediate for hydroxylation in Cytochrome P450 catalytic cycle. There are many controversies in the reactivity ...
A Meta-Analysis on the Relationship Between Derivatization and Cytotoxicity of Chalcone Compound
Cancer is a worldwide leading cause of death. The development of an effective anti-cancer drug is with pressing need. Chalcone and its derivatives have been considered as general anti-cancer compounds. Because of its easy synthesis and good biological ...
Two New Purine Alkaloids-based Magnetic Organic Substances and Their Characterization
In this study, magnetic theophylline and adenine were synthesized and characterized. The characteristic peaks of anion appeared in the ultraviolet spectra, infrared spectra, mass spectra and Raman spectrum, which indicated that the target magnetic ...
Index Terms
- Proceedings of the 2021 5th International Conference on Computational Biology and Bioinformatics