AIMC Topic: DNA-Binding Proteins

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DNA protein binding recognition based on lifelong learning.

Computers in biology and medicine Jun 16, 2023
In recent years, research in the field of bioinformatics has focused on predicting the raw sequences of proteins, and some scholars consider DNA-binding protein prediction as a classification task. Many statistical and machine learning-based methods ...
Machine Learning DNA DNA-Binding Proteins Protein Binding Computational Biology
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Identification of DNA-binding proteins by Kernel Sparse Representation via L-matrix norm.

Computers in biology and medicine Apr 11, 2023
An understanding of DNA-binding proteins is helpful in exploring the role that proteins play in cell biology. Furthermore, the prediction of DNA-binding proteins is essential for the chemical modification and structural composition of DNA, and is of ...
Amino Acid Sequence DNA DNA-Binding Proteins Algorithms Support Vector Machine Machine Learning
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MV-H-RKM: A Multiple View-Based Hypergraph Regularized Restricted Kernel Machine for Predicting DNA-Binding Proteins.

IEEE/ACM transactions on computational biology and bioinformatics Apr 3, 2023
DNA-binding proteins (DBPs) have a significant impact on many life activities, so identification of DBPs is a crucial issue. And it is greatly helpful to understand the mechanism of protein-DNA interactions. In traditional experimental methods, it is...
Machine Learning DNA-Binding Proteins Support Vector Machine DNA Algorithms
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iDRBP-EL: Identifying DNA- and RNA- Binding Proteins Based on Hierarchical Ensemble Learning.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2023
Identification of DNA-binding proteins (DBPs) and RNA-binding proteins (RBPs) from the primary sequences is essential for further exploring protein-nucleic acid interactions. Previous studies have shown that machine-learning-based methods can efficie...
Computational Biology RNA-Binding Proteins Algorithms Deep Learning RNA DNA DNA-Binding Proteins Machine Learning
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Improving DNA-Binding Protein Prediction Using Three-Part Sequence-Order Feature Extraction and a Deep Neural Network Algorithm.

Journal of chemical information and modeling Jan 31, 2023
Identification of the DNA-binding protein (DBP) helps dig out information embedded in the DNA-protein interaction, which is significant to understanding the mechanisms of DNA replication, transcription, and repair. Although existing computational met...
Algorithms DNA-Binding Proteins Amino Acid Sequence Neural Networks, Computer
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CNN-Pred: Prediction of single-stranded and double-stranded DNA-binding protein using convolutional neural networks.

Gene Nov 26, 2022
DNA-binding proteins play a vital role in biological activity including DNA replication, DNA packing, and DNA reparation. DNA-binding proteins can be classified into single-stranded DNA-binding proteins (SSBs) or double-stranded DNA-binding proteins ...
DNA Replication DNA-Binding Proteins Neural Networks, Computer Software DNA
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Identification of DNA-binding proteins via Multi-view LSSVM with independence criterion.

Methods (San Diego, Calif.) Sep 8, 2022
DNA-binding proteins actively participate in life activities such as DNA replication, recombination, gene expression and regulation and play a prominent role in these processes. As DNA-binding proteins continue to be discovered and increase, it is im...
DNA-Binding Proteins Support Vector Machine Machine Learning Least-Squares Analysis Algorithms
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Improving the prediction of DNA-protein binding by integrating multi-scale dense convolutional network with fault-tolerant coding.

Analytical biochemistry Aug 29, 2022
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...
Neural Networks, Computer DNA DNA-Binding Proteins Software Protein Binding
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iDRBP-ECHF: Identifying DNA- and RNA-binding proteins based on extensible cubic hybrid framework.

Computers in biology and medicine Aug 13, 2022
Proteins interact with nucleic acids to regulate the life activities of organisms. Therefore, how to accurately and efficiently identify nucleic acid-binding proteins (NABPs) is particularly significant. Some sequence-based computational methods have...
RNA-Binding Proteins DNA DNA-Binding Proteins Machine Learning Algorithms Binding Sites Computational Biology
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IDRBP-PPCT: Identifying Nucleic Acid-Binding Proteins Based on Position-Specific Score Matrix and Position-Specific Frequency Matrix Cross Transformation.

IEEE/ACM transactions on computational biology and bioinformatics Aug 8, 2022
DNA-binding proteins (DBPs) and RNA-binding proteins (RBPs) are two important nucleic acid-binding proteins (NABPs), which play important roles in biological processes such as replication, translation and transcription of genetic material. Some prote...
Position-Specific Scoring Matrices Support Vector Machine Computational Biology Amino Acid Sequence Algorithms RNA-Binding Proteins DNA Databases, Protein DNA-Binding Proteins
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