AI Medical Compendium Journal:
Analytical biochemistry

Showing 21 to 30 of 55 articles

Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant coding.

Analytical biochemistry
Accurate prediction of DNA-protein binding (DPB) is of great biological significance for studying the regulatory mechanism of gene expression. In recent years, with the rapid development of deep learning techniques, advanced deep neural networks have...

Intermittent fasting-induced biomolecular modifications in rat tissues detected by ATR-FTIR spectroscopy and machine learning algorithms.

Analytical biochemistry
This study aimed to reveal the intermittent fasting-induced alterations in biomolecules of the liver, ileum, and colon tissues of rats using Support Vector Machine (SVM) and Linear Discriminant Analysis (LDA) algorithms developed on infrared spectroc...

Predicting RNA solvent accessibility from multi-scale context feature via multi-shot neural network.

Analytical biochemistry
Knowledge of RNA solvent accessibility has recently become attractive due to the increasing awareness of its importance for key biological process. Accurately predicting the solvent accessibility of RNA is crucial for understanding its 3D structure a...

Identification of DNA N4-methylcytosine sites based on multi-source features and gradient boosting decision tree.

Analytical biochemistry
N4-methylcytosine (4 mC) is an important and common methylation which widely exists in prokaryotes. It plays a crucial role in correcting DNA replication errors and protecting host DNA against degradation by restrictive enzymes. Hence, the accurate i...

Performing protein fold recognition by exploiting a stack convolutional neural network with the attention mechanism.

Analytical biochemistry
Protein fold recognition is a critical step in protein structure and function prediction, and aims to ascertain the most likely fold type of the query protein. As a typical pattern recognition problem, designing a powerful feature extractor and metri...

TMPpred: A support vector machine-based thermophilic protein identifier.

Analytical biochemistry
MOTIVATION: The thermostability of proteins will cause them to break the temperature binding and play more functions. Using machine learning, we explored the mechanism of and reasons for protein thermostability characteristics.

Identification of efflux proteins based on contextual representations with deep bidirectional transformer encoders.

Analytical biochemistry
Efflux proteins are the transport proteins expressed in the plasma membrane, which are involved in the movement of unwanted toxic substances through specific efflux pumps. Several studies based on computational approaches have been proposed to predic...

4mC-RF: Improving the prediction of 4mC sites using composition and position relative features and statistical moment.

Analytical biochemistry
N4-methylcytosine (4 mC) is an important epigenetic modification that occurs enzymatically by the action of DNA methyltransferases. 4 mC sites exist in prokaryotes and eukaryotes while playing a vital role in regulating gene expression, DNA replicati...

Improved protein relative solvent accessibility prediction using deep multi-view feature learning framework.

Analytical biochemistry
The accurate prediction of the relative solvent accessibility of a protein is critical to understanding its 3D structure and biological function. In this study, a novel deep multi-view feature learning (DMVFL) framework that integrates three differen...

iPromoter-ET: Identifying promoters and their strength by extremely randomized trees-based feature selection.

Analytical biochemistry
Promoter is a region of DNA that determines the transcription of a particular gene. There are several σ factors in the RNA polymerase, which has the function of identifying the promoter and facilitating the binding of the RNA polymerase to the promot...