AIMC Topic: DNA-Binding Proteins

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Research on DNA-Binding Protein Identification Method Based on LSTM-CNN Feature Fusion.

Computational and mathematical methods in medicine Jun 2, 2022
Protein is closely related to life activities. As a kind of protein, DNA-binding protein plays an irreplaceable role in life activities. Therefore, it is very important to study DNA-binding protein, which is a subject worthy of study. Although tradit...
Neural Networks, Computer Humans Machine Learning DNA-Binding Proteins Amino Acid Sequence
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DeepDNAbP: A deep learning-based hybrid approach to improve the identification of deoxyribonucleic acid-binding proteins.

Computers in biology and medicine Mar 30, 2022
Accurate identification of DNA-binding proteins (DBPs) is critical for both understanding protein function and drug design. DBPs also play essential roles in different kinds of biological activities such as DNA replication, repair, transcription, and...
Neural Networks, Computer Deep Learning DNA-Binding Proteins Position-Specific Scoring Matrices Computational Biology DNA
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Application of DNA-Binding Protein Prediction Based on Graph Convolutional Network and Contact Map.

BioMed research international Jan 17, 2022
DNA contains the genetic information for the synthesis of proteins and RNA, and it is an indispensable substance in living organisms. DNA-binding proteins are an enzyme, which can bind with DNA to produce complex proteins, and play an important role ...
Neural Networks, Computer DNA-Binding Proteins
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FTWSVM-SR: DNA-Binding Proteins Identification via Fuzzy Twin Support Vector Machines on Self-Representation.

Interdisciplinary sciences, computational life sciences Nov 6, 2021
Due to the high cost of DNA-binding proteins (DBPs) detection, many machine learning algorithms (ML) have been utilized to large-scale process and detect DBPs. The previous methods took no count of the processing of noise samples. In this study, a fu...
Machine Learning Algorithms DNA-Binding Proteins Support Vector Machine
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Multi-Scale Capsule Network for Predicting DNA-Protein Binding Sites.

IEEE/ACM transactions on computational biology and bioinformatics Oct 7, 2021
Discovering DNA-protein binding sites, also known as motif discovery, is the foundation for further analysis of transcription factors (TFs). Deep learning algorithms such as convolutional neural networks (CNN) have been introduced to motif discovery ...
Sequence Analysis, Protein Chromatin Immunoprecipitation Sequencing Algorithms DNA-Binding Proteins Deep Learning Binding Sites Protein Binding Computational Biology Transcription Factors
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RF-SVM: Identification of DNA-binding proteins based on comprehensive feature representation methods and support vector machine.

Proteins Sep 9, 2021
Protein-DNA interactions play an important role in biological progress, such as DNA replication, repair, and modification processes. In order to have a better understanding of its functions, the one of the most important steps is the identification o...
DNA-Binding Proteins Databases, Protein DNA Support Vector Machine Computational Biology
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DeepDRBP-2L: A New Genome Annotation Predictor for Identifying DNA-Binding Proteins and RNA-Binding Proteins Using Convolutional Neural Network and Long Short-Term Memory.

IEEE/ACM transactions on computational biology and bioinformatics Aug 6, 2021
DNA-binding proteins (DBPs) and RNA-binding proteins (RBPs) are two kinds of crucial proteins, which are associated with various cellule activities and some important diseases. Accurate identification of DBPs and RBPs facilitate both theoretical rese...
RNA-Binding Proteins DNA-Binding Proteins Molecular Sequence Annotation Algorithms Genomics Neural Networks, Computer
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DBP-GAPred: An intelligent method for prediction of DNA-binding proteins types by enhanced evolutionary profile features with ensemble learning.

Journal of bioinformatics and computational biology Jul 21, 2021
DNA-binding proteins (DBPs) perform an influential role in diverse biological activities like DNA replication, slicing, repair, and transcription. Some DBPs are indispensable for understanding many types of human cancers (i.e. lung, breast, and liver...
Support Vector Machine Databases, Protein DNA-Binding Proteins Amino Acid Sequence Algorithms Computational Biology Humans Position-Specific Scoring Matrices
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A sequence-based multiple kernel model for identifying DNA-binding proteins.

BMC bioinformatics May 31, 2021
BACKGROUND: DNA-Binding Proteins (DBP) plays a pivotal role in biological system. A mounting number of researchers are studying the mechanism and detection methods. To detect DBP, the tradition experimental method is time-consuming and resource-consu...
Support Vector Machine DNA-Binding Proteins Machine Learning
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DeepD2V: A Novel Deep Learning-Based Framework for Predicting Transcription Factor Binding Sites from Combined DNA Sequence.

International journal of molecular sciences May 24, 2021
Predicting in vivo protein-DNA binding sites is a challenging but pressing task in a variety of fields like drug design and development. Most promoters contain a number of transcription factor (TF) binding sites, but only a small minority has been id...
Computational Biology Promoter Regions, Genetic Transcription Factors Software K562 Cells Cell Line Deep Learning DNA-Binding Proteins DNA Humans Binding Sites
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