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PreDBA: A heterogeneous ensemble approach for predicting protein-DNA binding  affinity | Scientific Reports
PreDBA: A heterogeneous ensemble approach for predicting protein-DNA binding affinity | Scientific Reports

Exploring novel herbicidin analogues by transcriptional regulator  overexpression and MS/MS molecular networking | Microbial Cell Factories |  Full Text
Exploring novel herbicidin analogues by transcriptional regulator overexpression and MS/MS molecular networking | Microbial Cell Factories | Full Text

DNA-Binding Specificities of Human Transcription Factors - ScienceDirect
DNA-Binding Specificities of Human Transcription Factors - ScienceDirect

Transcription Factor Binding Site: Prediction & Concept | Study.com
Transcription Factor Binding Site: Prediction & Concept | Study.com

TRANSFAC - geneXplain
TRANSFAC - geneXplain

Systematic analysis of binding of transcription factors to noncoding  variants | Nature
Systematic analysis of binding of transcription factors to noncoding variants | Nature

DNA binding site - Wikipedia
DNA binding site - Wikipedia

TFBSPred: A functional transcription factor binding site prediction webtool  for humans and mice
TFBSPred: A functional transcription factor binding site prediction webtool for humans and mice

JASPAR - Documentation
JASPAR - Documentation

DNA Shape Features Improve Transcription Factor Binding Site Predictions In  Vivo: Cell Systems
DNA Shape Features Improve Transcription Factor Binding Site Predictions In Vivo: Cell Systems

Prediction of RNA-protein sequence and structure binding preferences using  deep convolutional and recurrent neural networks | BMC Genomics | Full Text
Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks | BMC Genomics | Full Text

Leopard: fast decoding cell type-specific transcription factor binding  landscape at single-nucleotide resolution | bioRxiv
Leopard: fast decoding cell type-specific transcription factor binding landscape at single-nucleotide resolution | bioRxiv

Accurate and sensitive quantification of protein-DNA binding affinity | PNAS
Accurate and sensitive quantification of protein-DNA binding affinity | PNAS

Transcription factor binding site prediction at rs11200638 and... |  Download Scientific Diagram
Transcription factor binding site prediction at rs11200638 and... | Download Scientific Diagram

Improving DNA-Binding Protein Prediction Using Three-Part Sequence-Order  Feature Extraction and a Deep Neural Network Algorithm | Journal of  Chemical Information and Modeling
Improving DNA-Binding Protein Prediction Using Three-Part Sequence-Order Feature Extraction and a Deep Neural Network Algorithm | Journal of Chemical Information and Modeling

Physicochemical models of protein–DNA binding with standard and modified  base pairs | PNAS
Physicochemical models of protein–DNA binding with standard and modified base pairs | PNAS

Predicting transcription factor binding sites using DNA shape features  based on shared hybrid deep learning architecture: Molecular Therapy -  Nucleic Acids
Predicting transcription factor binding sites using DNA shape features based on shared hybrid deep learning architecture: Molecular Therapy - Nucleic Acids

Enhancing the interpretability of transcription factor binding site  prediction using attention mechanism | Scientific Reports
Enhancing the interpretability of transcription factor binding site prediction using attention mechanism | Scientific Reports

Frontiers | Prediction of DNA-Binding Protein–Drug-Binding Sites Using  Residue Interaction Networks and Sequence Feature
Frontiers | Prediction of DNA-Binding Protein–Drug-Binding Sites Using Residue Interaction Networks and Sequence Feature

Predicting Hot Spot Residues at Protein–DNA Binding Interfaces Based on  Sequence Information | SpringerLink
Predicting Hot Spot Residues at Protein–DNA Binding Interfaces Based on Sequence Information | SpringerLink

PDF] DNA Shape Features Improve Transcription Factor Binding Site  Predictions In Vivo. | Semantic Scholar
PDF] DNA Shape Features Improve Transcription Factor Binding Site Predictions In Vivo. | Semantic Scholar

Figure 5 | PLOS Computational Biology
Figure 5 | PLOS Computational Biology

Bioinformatics pipeline for the structural and functional annotation of  transcription factors.
Bioinformatics pipeline for the structural and functional annotation of transcription factors.

IJMS | Free Full-Text | DeepD2V: A Novel Deep Learning-Based Framework for Predicting  Transcription Factor Binding Sites from Combined DNA Sequence
IJMS | Free Full-Text | DeepD2V: A Novel Deep Learning-Based Framework for Predicting Transcription Factor Binding Sites from Combined DNA Sequence

Prediction of transcription factor binding sites and mutation analysis... |  Download Scientific Diagram
Prediction of transcription factor binding sites and mutation analysis... | Download Scientific Diagram

PDF] A Review About Transcription Factor Binding Sites Prediction Based on  Deep Learning | Semantic Scholar
PDF] A Review About Transcription Factor Binding Sites Prediction Based on Deep Learning | Semantic Scholar

Prediction of DNA binding motifs from 3D models of transcription factors;  identifying TLX3 regulated genes" published in Nucleic Acids Research — The  Tapinos Lab
Prediction of DNA binding motifs from 3D models of transcription factors; identifying TLX3 regulated genes" published in Nucleic Acids Research — The Tapinos Lab